By Ali A. Ghorbani, Wei Lu, Mahbod Tavallaee
Network Intrusion Detection and Prevention: strategies and methods offers specific and concise info on types of assaults, theoretical beginning of assault detection techniques, implementation, info assortment, overview, and intrusion reaction. also, it offers an outline of a few of the commercially/publicly to be had intrusion detection and reaction platforms. concerning intrusion detection approach it really is very unlikely to incorporate every thing there's to assert on all topics. despite the fact that, we have now attempted to hide crucial and customary ones.
Network Intrusion Detection and Prevention: ideas and strategies is designed for researchers and practitioners in undefined. This e-book is appropriate for advanced-level scholars in computing device technological know-how as a reference e-book to boot.
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Additional resources for Network Intrusion Detection and Prevention: Concepts and Techniques
24 1 Network Attacks 45. A. Lakhina, M. Crovella, and C. Diot, Diagnosing Network-Wide Traffic Anomalies, ACM SIGCOMM, 2004, pp. 219–230. 46. T. Liston, Welcome to my tarpit: The tactical and strategic use of LaBrea, Dshield. org White paper (2001). 47. L. D. thesis, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA, 2001. 48. W. Lu and I. Traore, An unsupervised approach for detecting ddos attacks based on traffic based metrics, Proceedings of IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (Victoria, BC), 2005, pp.
1 Misuse Detection The study of misuse detection began with Anderson’s report in 1980. Intrusions are detected by matching actual behavior recorded in audit trails with known suspicious patterns. While misuse detection is fully effective in uncovering known attacks, it is useless when faced with unknown or novel forms of attacks for which the signatures are not yet available. Moreover, for known attacks, defining a signature that encompasses all possible variations of the attack is difficult. Any mistakes in the definition of these signatures will increase the false alarm rate and decrease the effectiveness of the detection technique.
5, 781–807. 74. Dan Sterne, Kelly Djahandari, Brett Wilson, Bill Babson, Dan Schnackenberg, Harley Holliday, and Travis Reid, Autonomic response to distributed denial of service attacks, Proceedings of Recent Advances in Intrusion Detection (RAID), Lecture Notes in Computer Science, Springer-Verlag Heidelberg, 2001, pp. 134–149. 75. T. Toth and C. Kruegel, Connection-history based anomaly detection, Proceedings of IEEE Workshop on Information Assurance and Security (West Point, NY), 2002. 76. K.