News

 

Best thesis CLUSIT 12th edition: Davide Maiorca (phd thesis) and Mauro Deiana (PRA Lab's student) among the winners.

Il CLUSIT published the winners of the "Best thesis nn information security 2016":

1° Tommaso Frassetto (Dipartimento di Matematica, Università  degli Studi di Padova) with the thesis: "Self-Rando: Practical Load-Time Randomization against Run-Time Exploits".
2° Leonardo Preti (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria) with the thesis: "Detecting Android malware campaigns via application similarity analysis".
3° Daniele Lain (Dipartimento di Matematica, Università  degli Studi di Padova) with the thesis: "Don’t Skype & Type: Keyboard Acoustic Eavesdropping Through Voice Over IP Applications".
4° Marco Negro (Dipartimento di Matematica, Università  degli studi di Padova) with the thesis: "Tamper with the flow: Modern Control-Flow Integrity Implementations and their weaknesses".
5° (equal merit) Davide Maiorca (Dipartimento di Ingegneria Elettrica ed Elettronica, Università  degli Studi di Cagliari) with the thesis: "Design and Implementation of Robust Systems for Secure Malware Detection".
5° (equal merit) Alessandro Baggio (Politecnico di Milano) with the thesis: "FraudBuster : time-based analysis of Internet banking fraud".
5° (equal merit) Lorenzo Bordoni (Dipartimento di Matematica, Università  degli Studi di Padova) with the thesis: "Mirage: Toward a Stealthier and Modular Malware Analysis Sandbox for Android".
5° (equal merit) Mauro Deiana (Dipartimento di Ingegneria Elettrica ed Elettronica, Università  degli studi di Cagliari) with the thesis: "Classificazione e rilevazione di malware Android basata sull’analisi del traffico HTTP".

Official Clusit web page under updating.

 

 

Accenture meets PRA Lab

Cagliari, 4 april 2017 – A series of meetings between Accenture and PRA Lab's Biometrics unit has been reported by the Italian press. The second meeting will take place on wednesday 5, April...
Complete article (italian only): Unica Notizie and Sardanews.it

 

 

Fabio Roli and Giorgio Giacinto in the Top italian scientists (Tis) ranking, published by Via-Academy. Media Coverage. Updated on March 30.

Fabio Roli and Giorgio Giacinto are among the Top italian scientists, according to the ranking published by Via-Academy, specialized site, which made a census and comparison over four thousand researchers, who have submitted and uploaded their works on Google scholar.
From the UNICA's web magazine: Top italian scientists, buone performance dei docenti di UniCa. Il sito specializzato, che ospita i ricercatori che hanno inoltrato e caricato i propri lavori su Google scholar, ha censito oltre quattromila ricercatori. Per l’Università del capoluogo ricadute e visibilità in ambito mondiale.
Ventisei i docenti dell’Università di Cagliari nella classifica del sito www.topitalianscientists.org. E potrebbero essercene anche altri: la classifica è in continuo aggiornamento. Di fatto, un bel colpo per l’ateneo del capoluogo sotto diversi punti di vista. Intanto, un risultato proficuo se si pensa alla visibilità, alla credibilità e alle ricadute nella comunità accademica internazionale. Ma anche un bel biglietto da visita in tema di qualità della didattica e della ricerca, utile anche per una promozione puntuale dei corsi di laurea e delle scuole di specializzazione.

Media Coverage (2nd series of articles, ranking of 30-03): Unica Notizie; unionesarda.it; sardegnaoggi.it.
Media Coverage (1st series of articles, ranking of 13-03): Ansa.it
; Unica Notizie; unionesarda.it; sardegnaoggi.it; notizie.olbia24.it; notizie.portotorres24.it; gazzettadelsulcis.it.

 

 

Congratulations to Battista Biggio, appointed IEEE Senior Member!

Battista Biggio has been elevated to IEEE Senior Member, coveted goal forscientists and researchers in Electrical and Electronic Engineering. From the IEEE website:

Senior member is the highest grade for which IEEE members can apply. IEEE members can self-nominate, or be nominated, for Senior Member grade.
To be eligible for application or nomination, candidates must:

  • Be engineers, scientists, educators, technical executives, or originators in IEEE-designated fields
  • Have experience reflecting professional maturity
  • Have been in professional practice for at least ten years (with some credit for certain degrees)
  • Show significant performance over a period of at least five of their years in professional practice

 

 

Congratulations to Battista Biggio, appointed IEEE Senior Member!

Battista Biggio has been elevated to IEEE Senior Member, coveted goal forscientists and researchers in Electrical and Electronic Engineering. From the IEEE website:

Senior member is the highest grade for which IEEE members can apply. IEEE members can self-nominate, or be nominated, for Senior Member grade.
To be eligible for application or nomination, candidates must:

  • Be engineers, scientists, educators, technical executives, or originators in IEEE-designated fields
  • Have experience reflecting professional maturity
  • Have been in professional practice for at least ten years (with some credit for certain degrees)
  • Show significant performance over a period of at least five of their years in professional practice

 

 

Congratulations to Elena Chiappe, one of the 10 Italian students selected by Huawei for a 10-day training in China (Seeds for future project).

From the Italian press agency Ansa: "Una laureanda del corso magistrale in Ingegneria elettronica dell'Università di Cagliari è tra i dieci talenti selezionati in tutta Italia per partecipare a "Seeds for the future", il programma annuale di tirocini organizzato da Huawei Technologies Italia, azienda leader nelle soluzioni di Information e communication technology (Ict), d'intesa con il ministero dell'Istruzione, dell'Università e della Ricerca (Miur) e con il ministero dello Sviluppo economico (Mise).
Elena Chiappe parteciperà al progetto riservato ai dieci laureandi con un percorso di studio focalizzato su tecnologia e innovazione e ha l'obiettivo di promuovere il merito e l'eccellenza tra gli studenti del settore Ict, focalizzandosi non solo sugli aspetti formativi ma anche sull'applicazione concreta nel mondo industriale..."

Complete article on:
Media coverage (ITA):

 

 

PRA Lab and Pluribus One among the partners of the challenging European project LETS CROWD, aimed at monitoring and protecting people during mass gatherings.

LETS CROWD (Law Enforcement agencies human factor methods and Toolkit for the Security and protection of CROWDs in mass gatherings) is a project funded by the European Commission under the HORIZON 2020 Programme. Europe has suffered many criminal actions and terrorist attacks during mass gatherings, which have great impact on the citizens and the society, in the last few years. LEAs must face this new scenario (it is considered a priority by the European Union), which imposes a multitude of heterogeneous challenges. Hence, the key is to deter, prevent, protect, pursue and effectively respond to criminal and/or terrorist actions, achieving the best possible protection for people gathering in a specific area where particular events are taking place, thus increasing also the sense of security whit the necessary balance between protection and rights of EU citizens. For all these reasons, novel methodologies and tools must be investigated for strategic and operational activities, involving also strong cross-border cooperation and intelligence sharing, and planning solutions for all these issues, where the human and sociological factor is often the key driver. In fact, humans play a key role in every dimension of crowd protection against criminal and terrorist acts: as perpetrators, protectors and victims. 

LETS CROWD will overcome challenges preventing the effective implementation of the European Security Model (ESM) with regards to mass gatherings. This will be achieved by providing the following to security policy practitioners and in particular, LEAs: (1) A dynamic risk assessment methodology for the protection of crowds during mass gatherings centred on human factors in order to effectively produce policies and deploy adequate solutions. (2) A policy making toolkit for the long-term and strategic decision making of security policy makers, including a database of empirical data, statistics and an analytical tool for security policies modelling, and (3) A set of human centred tools for Law Enforcement Agencies (LEAs), including real time crowd behaviour forecasting, innovative communication procedures, semantic intelligence applied to social networks and the internet, and novel computer vision techniques.
LETS CROWD will be a security practitioner driven project, fostering the communication and cooperation among LEAs, first responders, civil protection and citizens in the fight against crime and terrorism during mass gatherings by a set of cooperation actions. The project will put citizens at the centre of the research and will assess and evaluate how security measures affect them, and how they perceive them, while respecting EU fundamental rights. LETS CROWD impact will be measured under practical demonstrations involving seven LEAs and relevant emergency services units. In order to facilitate the assessment of the performance, transferability, scalability and large scale deployment of these solutions, the demonstrations will be conducted following eleven use cases.The project, lead by ETRA Investigación y Desarrollo S.A. (Spain), will be implemented by a consortium of 16 partners, from 8 different countries (including SMEs, universities, LEAs), operating in the critical areas of government, security, energy, finance, transport and utilities.
 
Grupo Etra    Risultati immagini per policia municipal de madrid logo    Risultati immagini per home office gov uk    FHVR Bayern - Fachbereich Polizei - Fürstenfeldbruck und Sulzbach-Rosenberg
  Risultati immagini per Crowd Dynamics logo   Risultati immagini per deep blue consulting and research    Risultati immagini per eena logo   
Risultati immagini per politie voorkempen logo            Logo         UC
         
 

 

 

The DOGANA literary-graphic competition begins. Contraband Pixels & Texts, or... make stories, not phishing

"Contraband Pixels & Texts, or... make stories, not phishing" is a literary-graphic competition on social engineering and phishing, organized by PRA Lab and CNIT (Consorzio nazionale interuniversitario per le telecomunicazioni), partner of the DOGANA project, funded under the HORIZON 2020 programme.

Participants: writers and cartoonists / illustrators.
Registration: registration is free and open to people residing in EU countries (Austria, Belgium, Bulgaria, Cyprus, Croatia, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Luxembourg , Malta, Netherlands, Poland, Portugal, United Kingdom, Czech Republic, Romania, Slovakia, Slovenia, Spain, Sweden, Hungary), Israel and Switzerland.
Rules: writers must submit a short story (max. 5000 characters including spaces, excluding title) addressing the theme provided by the organization;
illustrators must submit a table of up to 1024x768 pixels resolution, representing or summarizing the project theme in a drawing or in a comic strip. The same author may submit multiple tables and short stories. Artworks can be submitted in Italian, in English and / or in both languages ​​(Italian and English). Artworks presented in two languages ​​will receive an additional bonus.

Artworks must be shared on the Facebook page dedicated to the competition (https://www.facebook.com/pixelettere), starting from February, 13th, 2017. Last date to submit artworks is June, 10th, 2017. Dates for intermediate selections will be communicated time to time

 

 

The European project FORC, launched in January and lead by PRA Lab, goes live. Media coverage.

FORC (Pathway in Forensic Computing) is a project funded by the European Commission under the ERASMUS+ programme. The project, lead by University of Cagliari - PRA Lab, involves 8 partners from Europe (UK, Ireland), Palestine and Jordan, aims to improve the level of competences and skills of the partner universities in Palestine and Jordan by enabling them to develop sustainable integrated curricula in Forensic Computing, across the domains of Law and technology. The specific objectives of the project are:
- To update the bachelor programs by defining the structure of the new Forensic Computing Pathway, which recognized by all consortium partners.
- To develop, validate and implement a set of courses 8 courses, on emerging areas of Forensic Computing that address the following: Digital Investigation, Issues in Criminal Justice, Digital Forensics, Ethical Hacking, Digital Evidence.
- To develop 4 case studies in Forensic Computing using student-centred adaptive elearning contemporary education methodology, which focused on computer crime and computer Investigation.
- To improve the level of competencies and skills of staff in partner country universities by (i) training visits for staff to EU partners to develop Forensic Computing expertise in curriculum development and innovative learning, and (ii) providing research collaboration opportunities with EU staff through joint- supervision of students' projects.
- Additionally, to create opportunities of collaboration between academia and industry in Forensic Computing field.
- To establish Forensic Computing laboratories at partner countries universities, which will be used for teaching and research.
 
Media coverage related to the project's kick-off.

 

 

Alessandro Medda, Lorenzo Putzu, Mikel Zurutuza, new PRA Lab's collaborators

 

     

Mouse over the pictures shows their research interest; click on the pictures to see their personal pages

 

 

 

 

Battista Biggio appointed Associate Editor of Pattern Recognition.

Elsevier wordmark
Pattern Recognition

 

 

Fabio Roli invited speaker by the "Polo Sardegna dell'Accademia Nazionale dei Lincei", Cagliari, January 26

Prof. Fabio Roli will be invited speaker at the conference: “Le macchine calcolatrici possono pensare? Miti, realtà, opportunità e rischi di un mondo dominato dagli algoritmi numerici”, that will be held on January 26 2017, from 4 p.m. to 19 p.m. in Cagliari, Aula Magna of the Faculty of Engineering and Architecture, University of Cagliari. The event is organized by the Polo Sardegna dell'Accademia Nazionale dei Lincei within a series of meetings between students and research.

 

 

Special Session on "Sparse Data Machine Learning for Domains in Multimedia" at CBMI 2017, June 19-21, Florence - Call for papers

This is a cordial invitation to submit a paper to the special session on "Sparse Data Machine Learning for Domains in Multimedia" at CBMI 2017- Content-Based Multimedia Indexing, to be held in Florence, Italy (19 - 21 June, 2017).

Sparse Data Machine Learning for Domains in Multimedia
Using multimedia in specific fields such as medicine or psychology is an emerging trend, which gives the multimedia community an opportunity to perform research that can have societal impact and help people. Nevertheless, these domains often come with some challenges. One of the biggest challenges is the availability of labeled data. In the area of medicine, there are some areas and diseases that are well covered, for example image and video data for polyp detection. Thus, even the well covered areas have, compared to other datasets, very little data. This fact makes it very challenging to apply machine learning methods and get meaningful results. Especially, the highly praised and used deep learning is very depending on a lot of good training data. Moreover, deep learning might not be the silver bullet for tackling every problem. With this special session, we want to emphasize that there are relevant and emerging topics that might not or are against the odds be solvable with deep learning and require a more open and broader point of view.

The scope of this session is machine learning in areas that come with a lack of data, such as medicine, addressing the challenges described in the motivation.

Examples for topic of interest are:
- Traditional machine learning vs Deep learning
- Machine Learning on small data
- Deep learning with small datasets
- Unsupervised machine learning
- Data creation
- Data annotation
- Knowledge transfer
- Areas with small multimedia datasets (for example medicine, psychology)
- Multimedia tools and applications in fields with lack of data (for example medicine, psychology)

More information about the conference can be found here.
For guidelines and submission procedure see Paper submission.

The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL.
In addition, authors of the best papers of the conference will be invited to submit extended versions of their contributions to a special issue of Multimedia Tools and Applications journal (MTAP).

Important dates:
- Full/short paper submission deadline: February 28, 2017
- Notification of acceptance: April 10, 2017
- Camera-ready papers: April 21, 2017

Organizers:
- Konstantin Pogorelov - Simula Research Laboratory, Norway - konstantin(at)simula.no
- Duc-Tien Dang-Nguyen, Dublin City University, Ireland - (duc-tien.dang-nguyen(at)dcu.ie)
- Michael Riegler - Simula Research Laboratory, Norway - michael(at)simula.no
- Luca Piras, University of Cagliari, Italy (luca.piras(at)diee.unica.it)
- Paolo Rota - Vienna University of Technology, Austria - rota(at)caa.tuwien.ac.at
- Pål Halvorsen - Simula Research Laboratory, Norway - paalh(at)simula.no

 

 

ImageCLEF 2017 Lifelog Task, September 11-14, Dublin - Call for participation

This is a cordial invitation to participate in the 1st edition of the Lifelog Task. ImageCLEF is one of the labs of CLEF 2017, which will be held in Dublin, Ireland.

The availability of a large variety of personal devices, such as smartphones, video cameras as well as wearable devices that allow capturing pictures, videos, and audio clips in every moment of our life is creating vast archives of personal data where the totality of an individual's experiences, captured multi-modally through digital sensors are stored permanently as a personal multimedia archive. This unified digital records, commonly referred to as lifelogs, has been gathering increasing attention in recent years within the research community due to the need for systems that can automatically analyse this huge amounts of data in order to categorize, summarize and also query them to retrieve the information that the user may need.
Despite the increasing number of successful related workshops and panels in the last years lifelogging has seldom been the subject of a rigorous comparative benchmarking exercise. This task aims to bring the attention of lifelogging to an as wide as possible audience and to promote research into some of the key challenges of the coming years.
The task addresses the problems of lifelogging data retrieval and summarization and it is divided in two subtasks based on the same data of a large collection of wearable camera images, description of the semantic locations, and the physical activities of the lifeloggers.

The objective of the first subtask is to analyse the lifelog data and, according to several specific queries (e.g., Find the moment(s) when I was shopping for wine in a supermarket), to return the correct answers. The second subtask objective is the analysis of all the images in the dataset and the summarization of them according to specific requirements.

SubTask 1: Lifelog retrieval (LRT)
The participants should analyse the lifelog data and according to several specific queries they have to return the correct answers. For example:
Shopping for a Bottle of Wine: Find the moment(s) when I was shopping for wine in a supermarket.
Shopping For Fish: Find the moment(s) when I was shopping for fish in the supermarket.
The Metro: Find the moment(s) when I was riding a metro.

SubTask 2: Lifelog summarization (LST)
The participants should analyse all the images and summarize them according to specific requirements. The summary should be represented by 50 images, and it is required to be both relevant and diverse. All of the topics in this subtask will have more than 50 relevant images, so if the participants do not submit 50 images, it will be considered as an incorrect format result. The represented images are considered to be diverse if they depict different moments of the lifelogger in terms of activity, location, day-time, viewpoint, etc. of the queried topic. For example:
Public Transport: Summarize the use of public transport by a user.
The participant should recognize any different mean of transport depicted in the images of the dataset and if a particular mean of transport it is depicted in different day-time the participant should recognize this.

The participants will have a chance to submit a paper describing their system, which will be published in the CLEF Labs Working Notes. Furthermore, the groups of the best performing systems will be invited to give an oral presentation at CLEF 2017 and others will be given the option of presenting a poster.
For more details on the task please visit http://www.imageclef.org/2017/lifelog

Schedule:
14.11.2016: Registration opens.
14.11.2016: Development data release.
20.03.2017: Test data release.
01.05.2017: Deadline for submission of runs by the participants 11:59:59 PM GMT.
15.05.2017: Release of processed results by the task organizers.
26.05.2017: Deadline for submission of working notes papers by the participants 11:59:59 PM GMT.
17.06.2017: Notification of acceptance of the working notes papers.
01.07.2017: Camera ready working notes papers.
11.-14.09.2017: CLEF 2017, Dublin, Ireland.

Organizers:
- Duc-Tien Dang-Nguyen, Dublin City University, Ireland (duc-tien.dang-nguyen(at)dcu.ie)
- Luca Piras, University of Cagliari, Italy (luca.piras(at)diee.unica.it)
- Michael Riegler, University of Oslo, Norway (michaari(at)student.matnat.uio.no)
- Cathal Gurrin, Dublin City University, Ireland (cgurrin(at)computing.dcu.ie)
- Giulia Boato, University of Trento, Italy (giulia.boato(at)unitn.it)

 

 

Congratulations to Battista Biggio, now Assistant Professor

 

 

Biometric Technologies for Computer Security Seminar, January/February 2017, registration form available.

The registration form for the Biometric Technologies for Computer Security seminar, held by Prof. Gian Luca Marcialis, is now available.

The lessons will be held between January and February. This series of lectures is aimed to introduce the fundamentals of biometric technologies for personal recognition.
A biometric system for personal verification is made up of the following modules: sensor, feature extractor, matcher. These modules will be described with respect to two biometrics: fingerprint and facial traits. Multi-modal biometrics, that is, systems which combine information from multiple biometrics, will be also presented. Finally, some open research issues will be introduced.
Credits: 1 (project) - 2 (final exam).

 

 

Prof. Fabio Roli invited speaker at "Winter School on Security and Privacy Issues in Biometrics" Abu Dhabi, January 8-12, 2017

Prof. Fabio Roli will be invited speaker at “IEEE SPS Winter School on Security and Privacy Issues in Biometrics”, that will be held from 8 to 12 January 2017 in Abu Dhabi. Title of his lecture: Overview of Adversarial Biometric Recognition. The program of the school is available online.

Abstract of the lecture:
In this lecture, we review previous work on biometric security under a recent framework proposed in the field of adversarial machine learning. This allows us to highlight novel insights on the security of biometric systems when operating in the presence of intelligent and adaptive attackers that manipulate data to compromise normal system operation. We show how this framework enables the categorization of known and novel vulnerabilities of biometric recognition systems, along with the corresponding attacks, countermeasures, and defense mechanisms. The main goal of this lecture is to provide a gentle introduction to adversarial machine learning, and a well-structured review of the state of the art on biometric security, in light of the most recent findings in the area of adversarial machine learning.

 

 

GreenBit presents a new product family and a brand new fake finger detection software developed in collaboration with PRA Lab's biometric unit

Green Bit presents a new product family called DactyID and the new Fingerprint Anti-spoofing” software feature which has been developed in collaboration with the Electronic Engineering Department of Cagliari University, PRA Lab's biometric unit.

From the Green Bit website:

The brand new DactyID family has been designed having in mind the fast expanding market of digital transactions and added value e-services, such as: Banking, Healthcare, Commerce, etc. Furthermore the offer of reliable, robust and high quality FBI certified products will be a winning factor for a secure registration, identification, authentication of citizens in these market segments.
The DactyID20 is the first state-of-art model of this family. It is a compact single-finger (FAP 20 FBI/PIV certification in progress)  livescan, offering a superior built-in patented liveness finger detection system. It is available in two versions: as desktop unit and as OEM version for its integration in third-party systems. It will offer, combined with our DactyMatch SW package, a perfect solution for a Secure Identification.
The new MultiScan_SDK add-on (the GBT_FFD-DIEE), a fake-finger detection feature, can be used on the flagship GreenBit product DactyScan84c and doesn’t require any physical upgrade or HW modification. The algorithms are capable to “learn” during use, thus improving efficiency over time.

GreenBit will be also sponsor of the 5th International Fingerprint Liveness Detection Competition (previous edition).

 

 

Special Session on Information Retrieval and Summarization from Lifelog Data (IRSLD) at ICPRAM 2017 - Call for papers

We cordially invite you to submit a paper to the special session on "Information Retrieval and Summarization from Lifelog Data" at the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM 2017, to be held in Porto, Portugal (24 - 26 February, 2017)

SCOPE
In the recent years, lifelogging and the management of personal digital data is rapidly becoming a mainstream research topic. With the rich data captured over a long period of time, heterogeneous digital lifelogs will require both advanced analytics tools that can provide insights into the activities of the individual, and  systems capable of managing large volumes of multimodal data. Many challenges await the scientific community from both ethical and technological viewpoints. Recently, several international competitions promoted research in the area by making publicly available datasets on which to test new approaches and techniques, at both NTCIR and ImageCLEF.
The aim of this special session is to draw together researchers involved in this new and challenging area. We seek contributions  that are either focused on learning and data analysis (e.g., active and adaptive learning, hypothesis generation, data managed techniques, combining classifier techniques, etc.) or focused on solving real world challenges (e.g., human behavior analysis, content-based multimedia retrieval, and many others). 

The main topics of interest include (although not limited to):
- Multimedia data analytics for lifelog data
- Search and retrieval from lifelogs
- User experiences of lifelog gathering and application
- Real-world applications of lifelogging
- Captology and behaviour change from personal data
- Egocentric vision and first-person camera vision analytics

SUBMISSIONS
Submission
: Papers should be double-blind, up to 8 pages long, including references, tables, graphs, images and appendices. Papers should be formatted using the SCITEPRESS template.

Acceptance: After review, qualifying papers may be accepted as either Full Papers or Short Papers.
Presentation: Papers classified as Full Papers will get a 30’ minutes slot for an oral presentation at the conference. Papers classified as Short Papers are given either a 20’ minutes slot for an oral presentation or assigned to present at a Poster Session. Authors who have been assigned an oral presentation, either Full or Short, may however also choose to present at a Poster Session instead, should they prefer it.
Publication: Papers classified as Full Papers will be assigned a 12-page limit in the Conference Proceedings, while papers classified as Short Papers have an 8-page limit. The total number of pages to consider is the number obtained after the paper has been correctly formatted according to the appropriate template (SCITEPRESS). The Conference Proceedings will be published under an ISBN number by SCITEPRESS and include final versions of all accepted papers, adjusted to satisfy reviewers’ recommendations. They will be published on paper and CD-ROM support, and made available for online consultation at the SCITEPRESS Digital Library. Online publication is exclusive to papers which have been both published and presented at the event.
Indexation: The proceedings will be submitted to Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus for indexation.

IMPORTANT DATES
Submission Deadline: December 14th, 2016
Authors Notification: December 23rd, 2016

Camera Ready and Registration: January 5th, 2017
ICPRAM Conference: February 24-26 , 2017

ORGANIZERS
Luca Piras
- University of Cagliari, Italy
Duc­ Tien Dang ­Nguyen - Dublin City University, Ireland
Michael Riegler - University of Oslo, Norway

Please check further details at the IRSLD special session website or in the official CFP Flyer.

 

 

Prof. Fabio Roli invited speaker at the workshop "The Human Use of Machine Learning", Venice

Prof. Fabio Roli is invited speaker at “HUML 2016 - The Human Use of Machine Learning: An Interdisciplinary Workshop”. The event will take place at the European Centre for Living Technology, Venice, December 16th. Title of the talk: Some thoughts on safety of Machine Learning

Abstract:
During the last forty years, machine learning research has been focused mainly on accuracy of algorithms, and occasionally on speed and scalability. Issues that are very important in mature engineering fields, like safety, reliability, testing, have been basically neglected. But something changed over the last five years. The rise of the machine learning paradigm based on “big data + deep learning + GPUs” and the market expectation of products for high-stakes applications, triggered the interest of academia, and the worries of stakeholders and media, on neglected issues, like the safety of a self-driving vehicle operating in an adversarial environment “out of its training set”. This talk does some reflections on the safety of modern machine learning, with a mention to a few issues related to safety, like liability and transparency of algorithms. We will use concepts and examples coming from recent works in computer science, dealing with safety of machine learning algorithms in hostile environments and against adversarial inputs, but keeping a language appropriate for an interdisciplinary audience.

 

 

Gian Luca Marcialis invited speaker at "Biometric Training Workshop on Assessing the Vulnerability of Fingerprint Biometrics", Malaysia

Prof. Gian Luca Marcialis will be trainer and invited speaker at “Biometric Training Workshop on Assessing the Vulnerability of Fingerprint Biometrics”. This workshop will take place from 23 to 26 November 2016 in Malaysia, CyberSecurity Training Lab of the malaysian government agency CyberSecurity Malaysia.

Read also:


 

 

Mansour Ahmadi at SPSM Workshop

On Oct. 24th, our PhD student Mansour Ahmadi presented his paper "Detecting Misuse of Google Cloud Messaging in Android Badware” co-authored with B. Biggio, S. Artz, D. Ariu and G. Giacinto, at the SPSM workshop, co-located with ACM CCS, one of the major top-conferences in computer security. The paper discusses how to improve android malware detection through the analysis of how Google Cloud Messaging can be misused.

 

 

Job opportunities - Positions available at Yessoon

Job offer for Software Developer (Intelligence Community Focus)

Yessoon is seeking developers in all phases of application programming and software development life cycle activities within the Intelligence Community. This is a full-time position for a new start-up project in Sardegna (Italy).  We also assess remote working position.

Responsibilities:
Design and development of software, writer within the multi-disciplinary with member of the organization's analytic teams. The developer is the primary code writer. The developer will interact with personnel internal and external to the organization to receive and validate requirements understand user issues and needs design solvable pieces and translate those solutions into code. The Developer will prepare design specifications, conceptual diagrams, process flows, data models, prototypes, user interface designs, use cases, screen layouts, test plans, deployment plans, system documentation, and occasionally user documentation and product demonstrations. As part of the development team will support the full software life cycle, to include stage solutions, provide updates and fixes. Additionally, provide desk side and group training sessions and assistance to help non-technologists learn new technologies, tools and skills.

Required Skills:
* Working knowledge of machine learning/data mining/knowledge discovery
* Proficiency in three of more of the following program languages C#, Java, .Net, Python, Perl, Ruby or similar
* Experience with graphic user interface and data visitation tools
* Experience with advanced SQL query writing, data retrieval, data mining from relational databases such as Oracle, (PL/SQL), MySQL, Postgres and MS SQL Server
* Working knowledge of web services environments, languages, and formats (for example such as Restful, APis, HTML, JavaScript, XML, KML, SOAP, NoSQL databases).
* Experience with multiple operating systems including UNIX, Linux, Windows, MacOS
* Experience working with various intelligence disciplines
* Familiarity with mobile OS & app languages such as HTMLS, Android, IOS/Swift/C Object/C#, etc.
* Working with multi-treaded, big data, distributive cloud architecture (for example such as Hadoop, MapReduce, Cloudera, Hive, Spark and Elastic Search for the purposes of conducting big data analytics)
* Italian and good english.


Desired Skills, it’s a plus:
* BA/S in Computer Science or related field
* Development or ITIL certifications
* Experience Providing direct support within the intelligence community
* Knowledge of text processing such topic extraction, summarization, clustering, etc. (for example national language processing NLP; named entity recognition NER, entry retrieval - e.g. SOLR/Lucene)


Pay/Compensation/Benefits:
* Candidate experience and really capacity

Please submit resume, cover letter and expectations in italian or english, to studio@yessoon.it or pfurriolu@gmail.com.

 

 

Prof. Gian Luca Marcialis, invited speaker at “Biometria: tecniche, normativa e applicazioni”, September 13-14-15

Prof. Gian Luca Marcialis is invited speaker at “Biometria: tecniche, normativa e applicazioni”. The course is organized by Consorzio Universitario di Pordenone in collaboration with DataSecurity s.r.l. It will take place in Pordenone on September 13-14-15 . Gian Luca Marcialis will give the lecture “Le frontiere della sicurezza informatica mediante riconoscimento dei tratti biometrici” ("New trends about information security and biometrics").

 

 

Fourth Edition of the International School Building Trust in the Information Age (Pula, September 5-9)

After the success of the previous editions, the department of Electrical and Electronic Engineering of the University of Cagliari will hold the fourth edition of the school on computer security and privacy. Lecturers of the school are among the most distinguished computer security researchers and professionals:

  • Aylin Caliskan-Islam, Princeton University, USA
  • Michel Van Eeten, Delft University of Technology, Netherlands
  • Lorenzo Cavallaro, Royal Holloway, University of London, UK
  • Fabian Yamaguchi, Technische Universität Braunschweig, Germany
  • Miguel P. Correia, Instituto Superior Técnico Lisboa, Portugal
  • Fabio Massacci, University of Trento, Italy
  • Enrico Frumento, CEFRIEL, Politecnico di Milano, Italy
  • Marco Morana, Head of Cybersecurity Strategy at Citi, USA
  • Matteo Meucci, Founder and President of the OWASP Italian Chapter
  • Battista Biggio, University of Cagliari, Italy

 

Related articles:

Dal 5 settembre a Pula la quarta edizione del corso internazionale Building Trust in the Information Age - Ivo Cabiddu, Unicanews.

Hacker e criminalità informatica: al via la Summer school curata dagli specialisti dell’Università di Cagliari - Mario Frongia, Unicanews.

Summer school su hacker e criminalità informatica - Sardegnaoggi.it

 

 

Future Challenges in Cyber Crime and Cyber Terrorism Research: the CyberROAD perspective

CyberROAD organized its final event "Future Challenges in Cyber Crime and Cyber Terrorism Research: the CyberROAD perspective" at the Auditorium of the Faculty of Engineering and Architecture, University of Cagliari on May 25th, 2016.

Madia Coverage:
 
Interviews:


Interview with prof. Fabio Roli, by Sergio Nuvoli. Only Italian
Also available on Facebook

 


Interview with prof. Fabio Roli, by Mario Frongia. Only Italian

Photogallery:

 

 

CyberROAD (Development of the Cybercrime and Cyber-terrorism Research Roadmap) is a project funded by the European Commission, under the Seventh Framework Programme. Cyber criminal activities are reported to be continuously growing and are negatively impacting the development of the European society and economy, and are pervasively affecting all the aspects of our daily lifes. Even though the level of awareness of cyber threats has increased, and Law Enforcement acts globally to fight against them, illegal profits have reached unsustainable figures. In addition to the economic reasons, however, cyber crime often hides other political and social motivations.
In order to help coordinate the European efforts in the fight against cyber crime and cyber terrorism, the CyberROAD project has identified 19 research topics on which Europe should concentrate resources to increase its security and resilience, organizing them in strategic roadmap for Cyber Security Research.
The CyberROAD project has been implemented by a consortium of 20 international partners, involved in the fight against Cyber Crime and Cyber Terrorism. Members include representatives from Academia and Research, Industry, Government and NGOs across Europe.

 

 

Future Challenges in Cyber Crime and Cyber Terrorism Research: the CyberROAD perspective

CyberROAD organizes its final event "Future Challenges in Cyber Crime and Cyber Terrorism Research: the CyberROAD perspective" at the Auditorium of the Faculty of Engineering and Architecture, University of Cagliari - Piazza d'Armi, Cagliari, Italy on May 25th, 2016.

Please register here (or from the form at the end of this page) to help us better organise the event.

CyberROAD (Development of the Cybercrime and Cyber-terrorism Research Roadmap) is a project funded by the European Commission, under the Seventh Framework Programme. Cyber criminal activities are reported to be continuously growing and are negatively impacting the development of the European society and economy, and are pervasively affecting all the aspects of our daily lifes. Even though the level of awareness of cyber threats has increased, and Law Enforcement acts globally to fight against them, illegal profits have reached unsustainable figures. In addition to the economic reasons, however, cyber crime often hides other political and social motivations.
In order to help coordinate the European efforts in the fight against cyber crime and cyber terrorism, the CyberROAD project has identified 19 research topics on which Europe should concentrate resources to increase its security and resilience, organizing them in strategic roadmap for Cyber Security Research.
The CyberROAD project has been implemented by a consortium of 20 international partners, involved in the fight against Cyber Crime and Cyber Terrorism. Members include representatives from Academia and Research, Industry, Government and NGOs across Europe.



AGENDA:


9:30-10:05 Networking Welcome Coffee
10:05-10:55 Opening Remarks - The CyberROAD Project Experience
  The CyberROAD project, Fabio Roli, University of Cagliari
  The CyberROAD roadmap, Enrico Frumento, CEFRIEL
10:55-11:25  
  Selected Research Topics from CyberROAD: Cybercrime and Cyberterrorism Research Topics, Piotr Kijewski, NASK
11:25-11:55  
  Selected Research Topics from CyberROAD: Cybercrime and Cyberterrorism Research Topics, Jart Armin, CyberDefcon
11:55-12:25  
  The Joint CAMINO/COURAGE/CYBERROAD roadmap, Ben Brewster (CENTRIC - Sheffield Hallam University, COURAGE Project)
12:25-13:55 Networking Buffet Lunch
13:55-14:35  
  Cybersecurity needs in industry and industrial products, Michele Colaianni, University of Modena e Reggio Emilia
14:35-15:05  
  The Assessment of Systematic Security Risk in Interdependent Systems, Jens Grossklags, Penn State University
15:05-15:15 Closing remarks

 

REGISTRATION FORM:


CONTACTS:
davide.ariu@diee.unica.it
matteo.mauri@diee.unica.it

  

 

 

Giorgio Giacinto keynote speaker at ARES 2016, Salzburg (August 31, September 2)

Giorgio Giacinto has been invited as keynote speaker ARES Conference 2016, Salzburg, Austria, August 31 - September 2. He will give the talk "Learning from examples in the presence of adversaries for malware detection and classification" on september 2 at 11 a.m.

Abstract of the talk: Nowadays, machine learning techniques are increasingly employed to perform detection and classification tasks for computer security. Malware analysis is one of the prominent tasks, due to the vast amount of samples that need to be scrutinized daily. The effectiveness of machine learning approaches for malware classification and detection strictly depends on the effort spent in feature engineering, and in the choice of the learning function, with the goals of achieving high detection rate on known malware, reducing the false detection rate, and, in particular, making the system capable of detecting new malware samples specifically designed to evade the machine learning system. In this talk, I will outline some of the challenges posed by the current malware scenario, both for x86, and Android architectures, and some of the solutions proposed to design robust and effective malware detection and classification systems based on machine learning approaches.

 

 

Positions available at Plug&Wear

Plug&Wear is a spinoff of a company with 65+ years expertise in textiles and textile machinery. Its skills merge Italian textile tradition with innovation and research on Electronic Textiles. Since 2000 Plug&Wear has specialized in textile electronics. They have two positions available for two members of the Team

CTO Electronics
Sales Manager

Please see the official website for details.

 

 

Open positions: postdoctoral researcher with expertise in computer vision and pattern recognition.

PRALab is looking for a top postdoctoral researcher with expertise in computer vision and pattern recognition. The activities of the researcher will be focused in the development of advanced tools based on Deep Neural Network (DNN) for the extraction of visual features aimed to the semantic interpretation of images according to the presence or absence of more elementary semantic concepts.

TITLE: Advanced techniques for the identification and extraction of low-level features to the semantic interpretation of images through Deep Neural Network (DNN).
SUPERVISOR: Prof. Giorgio Giacinto
STARTING DATE: October / November 2016
DURATION: 18 months
TO APPLY: The call will be published soon (by the end of August 2016). For more information please contact Prof. Giorgio Giacinto (giacinto@diee.unica.it), Luca Piras (luca.piras@diee.unica.it)

RESEARCH TOPIC:
The volume of multimedia content is increasing at a fast space due to the widespread availability of portable devices for the acquisition of images and videos, and the availability of large space for its storage through Internet. Consequently, there is the need for advanced tools for managing such a large volume of data in terms of automatic content classification techniques for the efficient retrieval of multimedia content related to a specific concept. These content are often shared through web sites such as social networks, and they are often described by low-quality tags. This project will be rooted in the past activities of the research group related to interactive multimedia retrieval systems. In particular, the activities of the Researcher will be focused in the development of advanced tools based on Deep Neural Network (DNN) for the extraction of visual features aimed to the semantic interpretation of images according to the presence or absence of more elementary semantic concepts.

PROFILE:

•          MSc in computer science, computer engineering, electronic engineering, telecommunications engineering.
•          Programming experience in Python or C/C++.
•          Relevant research skills and experience in computer vision, machine learning, pattern recognition (demonstrated by high quality publications)
•          A PhD degree with excellent academic credentials or at least two year of documented research activity
•          Familiarity with deep learning
•          Good English communication skills (oral and written)

 

 

Alternanza scuola-lavoro, two high school students at PRA Lab

Alternanza Scuola Lavoro is a project that involves high school students in Universities' research activites. PRA Lab hosted 2 students from the high school liceo Euclide di Cagliari, involving them in Social Engineering themes and teaching them modern techniques agains digital targeted attacks. The students were involved also in some activites carried on within the project DOGANA - aDvanced sOcial enGineering And vulNerability Assesment framework.


Network Rai3  - Interview with Giorgio Giacinto

 


Interview with Giorgio Giacinto
Full article on UNICANEWS, by Sergio Nuvoli

 


Local network TCS  - Interview with Davide Maiorca
By Antonello -aka Tziu- Lai

 

 

 

The CyberROAD Roadmap

CyberROAD (Development of the Cybercrime and Cyber-terrorism Research Roadmap) is a project funded by the European Commission, under the Seventh Framework Programme. Cyber criminal activities are reported to be continuously growing and are negatively impacting the development of the European society and economy, and are pervasively affecting all the aspects of our daily lifes. Even though the level of awareness of cyber threats has increased, and Law Enforcement acts globally to fight against them, illegal profits have reached unsustainable figures. In addition to the economic reasons, however, cyber crime often hides other political and social motivations.
In order to help coordinate the European efforts in the fight against cyber crime and cyber terrorism, the CyberROAD project has identified 19 research topics on which Europe should concentrate resources to increase its security and resilience, organizing them in strategic roadmap for Cyber Security Research.
The CyberROAD project has been implemented by a consortium of 20 international partners, involved in the fight against Cyber Crime and Cyber Terrorism. Members include representatives from Academia and Research, Industry, Government and NGOs across Europe.

banner sito bianco-807.png

 


Official video of the project

 

 

Maria Elena Chiappe awarded among the most deserving students of the University of Cagliari.

Maria Elena Chiappe has been awarded within the "Borsa di merito per i laureati in corso dell’Anno Accademico 2014/2015" award, assigned by the University of Cagliari to the most deserving students of the past year. She discussed the thesis "Static Analysis and Detection of Malicious ActionScript Files through Structural and Content-based Analysis”

The official award ceremony will be held on June 30, 2016 during UnicaComunica event.

 

 

National Tv Network Rai 3, "Buongiorno Regione", interview with Fabio Roli, Gian Luca Marcialis and Davide Ariu

Pra Lab on National TV RAI 3 (19/05/2016). Interview with Fabio Roli, Gian Luca Marcialis and Davide Ariu, about the research activities on Computer Security and Biometrics carried on at PRA Lab, University of Cagliari. Only Italian.

 

 

Biometric Technologies for Computer Security Seminar, June 2016, registration form available.

The registration form for the Biometric Technologies for Computer Security seminar, held by Prof. Gian Luca Marcialis, is now available.

Each lesson will start at 2pm and will take 4 hours (June: 22th, 24th, 27th, 29th; July 1st). The lessons will be held in Mocci Room, Department of Electrical and Electronic Engineering, University of Cagliari.

This series of lectures is aimed to introduce the fundamentals of biometric technologies for personal recognition.
A biometric system for personal verification is made up of the following modules: sensor, feature extractor, matcher. These modules will be described with respect to two biometrics: fingerprint and facial traits. Multi-modal biometrics, that is, systems which combine information from multiple biometrics, will be also presented. Finally, some open research issues will be introduced.

Credits: 1 (project) - 2 (final exam).

 

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