Association rules applied to intrusion detection |
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Authors: | Mao Ping-ping Zhu Qiu-ping |
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Institution: | (1) School of Electronic Information, Wuhan University, 430072 Wuhan, Hubei, China |
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Abstract: | We discuss the basic intrusion detection techniques, and focus on how to apply association rules to intrusion detection. Begin
with analyzing some close relations between user’s behaviors, we discuss the mining algorithm of association rules and apply
to detect anomaly in IDS. Moreover, according to the characteristic of intrusion detection, we optimize the mining algorithm
of association rules, and use fuzzy logic to improve the system performance.
Foundation item: Supported by the National Natural Science Foundation of China (69983005)
Biography: Mao Ping-ping (1979-), male, Master candidate, research direction: multimedia and network security. |
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Keywords: | Intrusion detection association rules fuzzy logic |
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