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Intrusion detection has become a basic infrastructure to guarantee the security of most inter-networking applications. With more inter-networking applications in the Internet nowadays, enormous volume of audit trails are produced for the analysis within intrusion detection. For this reason, it is critical to reduce the detection computation of intrusion detection to meet the real-time detection requirement. In this paper, using a formal intrusion detection framework, the authors propose a new concept of variable-length signature, along with feature selection, to compress the behavior models of their intrusion detection system, USAID, that achieves promising detection performance.
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