Intrusion Detection Basing on Decision Rule Lattice

Lei He · Microelectronics & Computer · 2005

Concept lattice is a powerful data analytic tool, which develops quickly in recent years. A novel intrusion detection architecture based on Decision Rule Lattice, which is an extending of concept lattice, is proposed. This lattice structure can obtain the pattern of intrusion from lattice node directly. In addition, it applies β low approximation of variable precision rough set in intrusion detection rules, as well as provides β-reduction method which reduce average feature attribute length of intrusion activity rules and account of rules. Experimental results show that it can classify intrusion activities effectively and quickly with higher classification accuracy and lower false positive accuracy.

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