DocumentCode :
424213
Title :
The simulant discrimination between self and non-self by using strings
Author :
Xiong, Sheng-wu ; Wang, Yang
Author_Institution :
Sch. of Comput. & Technol., Wuhan Univ. of Technol., China
Volume :
4
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2312
Abstract :
The natural immune system has evolved many interesting mechanisms to solve complex engineering tasks. An ongoing research on the metaphor between the immune system and the host-based intrusion detection is reported. The primary investigation focuses on the simulation of the discrimination between self-behaviors and non-self behaviors by using strings in this paper. The experiment results demonstrate that it is possible to discriminate the dangerous behaviors from others by using sequences of system calls. This work is a part of a research program aiming at building computer security systems that incorporate the mechanisms and algorithms used by natural immune systems.
Keywords :
security of data; string matching; complex engineering task; host-based intrusion detection; natural immune system; nonself behavior; self-behaviors; simulant discrimination; strings; Computational modeling; Computer networks; Computer security; Expert systems; Humans; Immune system; Intrusion detection; Pathogens; Protection; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382185
Filename :
1382185
Link To Document :
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