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
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