DocumentCode :
2307316
Title :
Ontology-based intelligent system for malware behavioral analysis
Author :
Huang, Hsien-Der ; Chuang, Tsung-Yen ; Tsai, Yi-Lang ; Lee, Chang-Shing
Author_Institution :
Nat. Center for High-Performance Comput., Nat. Appl. Res. Labs., Tainan, Taiwan
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes an ontology-based intelligent system for malware behavioral analysis. The design background and structure of the Taiwan Malware Analysis Net (TWMAN) are presented to analyze the malware behavior. The TWMAN is composed of the malware behavioral analysis agent and the ontology agent. All of the essential information of the TWMAN, including the malware behavioral ontology, which is store in an ontology repository. The malware behavioral analysis agent collects the malware behavioral information to build malware behavioral ontology and malware behavioral rules. The results from the system logs show that the TWMAN can work effectively based on the malware behavioral analysis to protect the computers from the attack of computer viruses and Trojans.
Keywords :
computer network security; invasive software; ontologies (artificial intelligence); Taiwan malware analysis net; Trojan; computer virus; malware behavioral analysis agent; malware behavioral rule; ontology based intelligent system; Analytical models; Internet; Malware; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584325
Filename :
5584325
Link To Document :
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