DocumentCode
1979495
Title
Perceptual intrusion detection system
Author
Inoue, Atsushi
Author_Institution
Dept. of Comput. Sci., Eastern Washington Univ., Cheney, WA, USA
fYear
2003
fDate
24-26 July 2003
Firstpage
513
Lastpage
518
Abstract
A simple intrusion detection system (IDS) with respect to perception of human experts is proposed. Its computational framework is designed based on concepts of computational theory of perceptions (CTP) and mass assignment theory (MAT). CTP provides a computational framework of representing and handling perception using linguistic terms and corresponding fuzzy sets. MAT provides that of representing and handling a bias consisting in between perception and observed intrusions through the consistency management between fuzzy sets and probability distributions. For the knowledge construction of this IDS, only linguistic descriptions extracted from organization policies and perception of human experts is expected. For the inference and refinement of knowledge, support logic, a truth functional logic for manipulating probability intervals, is used.
Keywords
computational linguistics; fuzzy set theory; inference mechanisms; probability; safety systems; visual perception; CTP; IDS; MAT; computational framework; computational linguistics; computational theory of perceptions; fuzzy sets; human perception; inference mechanism; intrusion detection system; knowledge refinement; mass assignment theory; probability distributions; probability interval manipulation; support Logic; Computer science; Fuzzy logic; Humans; Intrusion detection; Logic programming; Pattern analysis; Pattern recognition; Performance analysis; Probabilistic logic; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226838
Filename
1226838
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