PRA Lab works on the development of next generation pattern recognition systems for real applications such as biometric authentication, text categorization, and intrusion detection in computer networks. PRA mission is to address fundamental issues for the development of future pattern recognition systems, in the context of real applications.
Many biometric recognition systems require using a small set of reference templates per client to save computational resources during client verification. PRA Lab's approach, Super-sparse Biometric Recognition, is capable of outperforming state-of-the-art methods both in terms of recognition accuracy and number of required reference templates, by jointly learning an optimal combination of matching scores and the corresponding subset of templates.
PRA Lab has 20 years experience on the development of next-generation Pattern Recognition systems. The Lab Director is Prof. Fabio Roli, IEEE and IAPR fellow. The Lab is made up of more than 30 people, including faculty members, post-doc researchers, PhD students and lab fellows. Research activities are carried out in the framework of regional, national, and european projects funded by public as well as private initiatives. Read more about our researchers.
"There is nothing more practical than a good theory".
Pra Lab develops many tools for computer security. SuStorID is an advanced Intrusion Detection System (IDS) for web services, based on machine learning. It demonstrates a number of interesting features, that can be readily exploited to detect and act against web attacks: Autonomous Learning - Anomaly-based Approach - Multi-model Architecture - Real-time Counteractions - Easy integration with modsecurity - Inspection of Encrypted traffic - User-friendly Interface.
Research at PRA Lab aims to develop secure-by-design systems, natively resilient against the attempts of evasion made by adversaries. The Lab activities focused on the “Adversarial Learning” area aim to study how the learning algorithms that empower our systems can be made more robust against these attempts by proactively simulating an arms race with the adversary to meet more strict security requirements.
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.
Interview with prof. Fabio Roli, by Sergio Nuvoli. Only Italian Also available on Facebook
Interview with prof. Fabio Roli, by Mario Frongia. Only Italian
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.
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 ceremonywill be heldon June 30, 2016during UnicaComunicaevent.
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.
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.
In this work we empirically show that our approach can reliably predict the performance of multibiometric systems even under never-before-seen face and fingerprint presentation attacks, and that the secure fusion rules designed using our approach can exhibit an improved trade-off between the performance in the absence and in the presence of attack. We finally argue that our method can be extended to other biometrics besides faces and fingerprints.... Read more >>
Android PRAGuard Dataset: as retrieving malware for research purposes is a difficult task, we decided to release our dataset of obfuscated malware. The dataset contains 10479 samples, obtained by obfuscating the MalGenome and the Contagio Minidump datasets with seven different obfuscation techniques. You can find more details in our paper. In order to obtain the dataset, please send an email to Davide Maiorca [davide(dot)maiorca(at)diee(dot)unica(dot)it] with the following subject: "[Android PRAGuard] - Request". Please, carefully follow the indications provided in the Dataset dedicated page. Read more >>
The ILLBuster Experience. The ILLBuster project results have been presented during a final workshop that took place on January 29, 2016 at TISCALI Auditorium. (event's details). ILLBuster is a project funded by the European Commission (DG-HOME), programme "Prevention of and Fight against Crime". Its goals is to develop an integrated system (ILLBuster) for the automatic discovery of illegal activities on the internet network. The system is thought to be a valuable tool to be used by LEAs in their activities of prevention of and fight against. Read more >>