DocumentCode :
3393708
Title :
Anomaly detection of privileged program based on fuzzy segments
Author :
Xinguang, Peng ; Zhirong, Zhang ; Zheng, Wang
Author_Institution :
Dept. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., China
fYear :
2005
fDate :
4-8 April 2005
Firstpage :
580
Lastpage :
584
Abstract :
Anomaly detection of privileged program is one of the most important means to ensure the security of Web systems. The fact that the uncertain short sequences of system calls affect detection models in various modeling methods has not been taken into account. The detection capability of anomaly detection models against known and unknown attacks is greatly affected. It is pointed out that the uncertain short sequences of system calls are closely related to contexts. The behavior status of the sequences of system calls is depicted by the abnormal membership on fuzzy segments. Experiment results indicate that the modeling method based on the abnormal membership on fuzzy segments increases the detection capability against known and unknown attacks.
Keywords :
Internet; fuzzy set theory; security of data; Web system security; anomaly detection; fuzzy segments; privileged program; Computer science; Data mining; Data security; Event detection; Fuzzy systems; Immune system; Information security; Information systems; Intrusion detection; Object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous Decentralized Systems, 2005. ISADS 2005. Proceedings
Print_ISBN :
0-7803-8963-8
Type :
conf
DOI :
10.1109/ISADS.2005.1452140
Filename :
1452140
Link To Document :
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