Titlebook: Applications of Data Mining in Computer Security; Daniel Barbará,Sushil Jajodia Book 2002 Springer Science+Business Media New York 2002 In

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Summary and Policy Implication,s have the proclivity of generating lots of false alarms. In this chapter we present an efficient architecture that can effectively be used to design anomaly detection systems and keep false alarms at a manageable level. We also present an implementation of this architecture that we have realized and experimented with.

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Comprehensively Critical Metapoliticstion provided by the MIB II variables and use data mining techniques and information-theoretic measures to build an intrusion detection model. We test our MIB II-based intrusion detection model with several Denial of Service (DoS) and probing attacks. The results have shown that the model can detect these attacks effectively.

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Comprehensively Critical Metapoliticsmendous growth in network-based services. Intrusion detection is an important security technique for networks and systems. In this paper, we propose a methodology for utilizing MIB II objects for network intrusion detection. We establish the normal profiles of network activities based on the informa

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Comprehensively Critical Metapoliticsd information systems. These precursors can be used by security analysts to better understand the evolution of complex computer attacks, and also to trigger alarms indicating that an attack is imminent. We call Proactive Intrusion Detection the utilization of these temporal rules as part of an overa