Title :
Intrusion detection system based on fuzzy default logic
Author :
Zhang Jian ; Yong, Ding ; Gong Jian
Author_Institution :
Dept. of Comput. Sci. & Technol., Southeast Univ., Nanjing, China
Abstract :
Current IDSs usually have several shortcomings. First, the speed and sensitivity of detection are not so ideal. Secondly, the response system lacks the ability to correct errors. Thirdly, the cost of intrusion detection is not considered, that is, the response policy is static. This paper applies fuzzy default theory to transform reasoning and response engine of IDS, based on the proving of IDS as non-monotonic, and set up an intelligent IDS-FDL-IDS. The experiment result showed that FDL-IDS increased the detection speed and sensitivity and decreased the cumulative cost as compared with traditional intrusion detection expert system.
Keywords :
error correction; fuzzy logic; fuzzy set theory; nonmonotonic reasoning; security of data; IDS; IDS-FDL-IDS; cumulative cost; detection sensitivity; detection speed; error correction; fuzzy default logic; intrusion detection system; nonmonotonic; reasoning; response engine; response policy; response system; shortcomings; Artificial intelligence; Computer networks; Costs; Data security; Engines; Fuzzy logic; Fuzzy systems; Intrusion detection; Object detection; Protection;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206627
