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

Volume

2

fYear

2003

Firstpage

1350

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on

Print_ISBN

0-7803-7810-5

Type

conf

DOI

10.1109/FUZZ.2003.1206627

Filename

1206627