Publications

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Filters: Keyword is ids00 and Author is Davide Ariu  [Clear All Filters]
Book Chapter
D. Ariu, Corona, I., Tronci, R., e Giacinto, G., «Machine Learning in Security Applications», in Machine Learning, Software Engineering and Standardization, P. Perner ibai-publishing, 2013.
Conference Paper
D. Ariu e Giacinto, G., «HMMPayl: an application of HMM to the analysis of the HTTP Payload», in Workshop on Applications of Pattern Analysis, 2010. (273.18 KB)
I. Corona, Ariu, D., e Giacinto, G., «HMM-Web: a framework for the detection of attacks against Web applications», in IEEE ICC 2009, Dresden, Germany, 2009. (391.14 KB)
D. Ariu, Corona, I., Giacinto, G., Perdisci, R., e Roli, F., «Intrusion Detection Systems based on anomaly detection techniques», in Italian Workshop on Privacy and Security (PRISE), Rome, 2007.
D. Ariu, Giacinto, G., e Roli, F., «Machine Learning in Computer Forensics (and the Lessons Learned from Machine Learning in Computer Security)», in AISec 2011: 4th ACM Workshop on Artificial Intelligence and Security, Chicago, IL, USA, 2011. (379.05 KB)
D. Ariu e Giacinto, G., «A modular architecture for the analysis of HTTP payloads based on Multiple Classifiers», in 10th Int. Workshop on Multiple Classifier Systems (MCS 2011), Naples, Italy, 2011. (244.9 KB)
D. Ariu, Giacinto, G., e Perdisci, R., «Sensing attacks in Computers Network with Hidden Markov Models», in Machine Learning and Data Mining in Pattern Recognition, MLDM 2007, Leipzig, 2007, vol 4571, pagg 449-463. (315.94 KB)
Journal Article
D. Ariu, Tronci, R., e Giacinto, G., «HMMpayl: An Intrusion Detection System Based On Hidden Markov Models», Computers & Security, vol 30, pagg 221 - 241, 2011. (1.88 MB)
R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., e Lee, W., «McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection», Computer Networks, vol 53, pagg 864-881, 2009. (882.94 KB)
R. Perdisci, Ariu, D., e Giacinto, G., «Scalable Fine-Grained Behavioral Clustering of HTTP-Based Malware», Computer Networks - Special Issue on Botnet Activity: Analysis, Detection and Shutdown, vol 57, pagg 487-500, 2013. (797.8 KB)
Thesis
D. Ariu, «Host and Network based Anomaly Detectors for HTTP Attacks», University of Cagliari, Cagliari (Italy), 2010. (5.95 MB)