Publications

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Filters: Author is Roberto Perdisci  [Clear All Filters]
Conference Paper
G. Giacinto, Perdisci, R., e Roli, F., «Alarm Clustering for Intrusion Detection Systems in Computer Networks», in Machine Learning and Data Mining in Pattern Recognition (MLDM 2005), Leipzig, Germany, 2005, vol 3587, pagg 184-193.
R. Perdisci, Corona, I., Dagon, D., e Lee, W., «Detecting Malicious Flux Service Networks through Passive Analysis of Recursive DNS Traces», in Annual Computer Security Applications Conference (ACSAC), Honolulu, Hawaii, USA, 2009. (206.97 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.
G. Giacinto, Perdisci, R., e Roli, F., «Network Intrusion Detection by Combining One-class Classifiers», in 13th International Conference on Image Analysis and Processing (ICIAP 2005), Cagliari, Italy, 2005, vol 3617, pagg 58-65.
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
R. Perdisci, Giacinto, G., e Roli, F., «Alarm clustering for intrusion detection systems in computer networks», Engineering Applications of Artificial Intelligence, vol 19, pagg 429-438, 2006.
R. Perdisci, Corona, I., e Giacinto, G., «Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis», IEEE Transactions on Dependable and Secure Computing, vol 9, pagg 714-726, 2012. (1.37 MB)
G. Giacinto, Perdisci, R., Del Rio, M., e Roli, F., «Intrusion detection in computer networks by a modular ensemble of one-class classifiers», Information Fusion, vol 9, 2008.
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)