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., and Giacinto, G., Machine Learning in Security Applications, in Machine Learning, Software Engineering and Standardization, P. Perner ibai-publishing, 2013.
Conference Paper
D. Ariu and 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., and 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., and Roli, F., Intrusion Detection Systems based on anomaly detection techniques, in Italian Workshop on Privacy and Security (PRISE), Rome, 2007.
D. Ariu, Giacinto, G., and 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 and 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., and 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, pp. 449-463. (315.94 KB)
Journal Article
D. Ariu, Tronci, R., and Giacinto, G., HMMpayl: An Intrusion Detection System Based On Hidden Markov Models, Computers & Security, vol. 30, pp. 221 - 241, 2011. (1.88 MB)
R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., and Lee, W., McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection, Computer Networks, vol. 53, pp. 864-881, 2009. (882.94 KB)
R. Perdisci, Ariu, D., and Giacinto, G., Scalable Fine-Grained Behavioral Clustering of HTTP-Based Malware, Computer Networks - Special Issue on Botnet Activity: Analysis, Detection and Shutdown, vol. 57, pp. 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)