• 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