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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)
R. Perdisci, Corona, I., and Giacinto, G., Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis, IEEE Transactions on Dependable and Secure Computing, vol. 9, pp. 714-726, 2012. (1.37 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, Giacinto, G., and Roli, F., Alarm clustering for intrusion detection systems in computer networks, Engineering Applications of Artificial Intelligence, vol. 19, pp. 429-438, 2006.
R. Perdisci, Corona, I., Dagon, D., and 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)
R. Perdisci, Statistical Pattern Recognition Techniques for Intrusion Detection in Computer Networks. Challenges and Solutions., Cagliari (Italy), 2007.