A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described. The model is based on the hypothesis that security violations can be detected by monitoring a system's audit records for abnormal patterns

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In this paper we discuss our research in developing general and systematic methods for intrusion detection. The key ideas are to use data mining techniques to discover consistent and useful patterns of system features that describe program and user behavior, and use the set of relevant system

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of centralized monitoring and management point, and lack of a clear line of defense. Many of the intrusion detection techniques developed on a xed wired network are not applicable in this new environment. How to do it dierently and effectively is a challenging research problem. In this paper, we rst examine

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The Anomaly Processor in Hardware for Intrusion Detection (APHID) is a step forward in the field of co-processing intrusion detection mechanism. By using small, fast hardware primitives APHID relieves the production CPU from the burden of se-curity processing. These primitives are tightly coupled

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