Applying FML and Fuzzy Ontologies to malware behavioural analysis

Hsien De Huang, Giovanni Acampora, Vincenzo Loia, Chang Shing Lee, Hung-Yu Kao

研究成果: Conference contribution

15 引文 斯高帕斯(Scopus)

摘要

Antimalware applications represent one of the most important research topic in the area of information security threat. Indeed, most computer network issues have malwares as their underlying cause. As a consequence, enhanced systems for analyzing the behavior of malwares are needed in order to try to predict their malicious actions and minimize eventual computer damages. However, because the environments where malwares operate are characterized by high levels of imprecision and vagueness, the conventional data analysis tools lack to deal with these computer safety applications. This work tries to bridge this gap by integrating semantic technologies and computational intelligence methods, such as the Fuzzy Ontologies and Fuzzy Markup Language (FML), in order to propose an advanced semantic decision making system that, as shown by experimental results, achieves good performances in terms of malicious programs identification.

原文English
主出版物標題FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
頁面2018-2025
頁數8
DOIs
出版狀態Published - 2011
事件2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
持續時間: 2011 六月 272011 六月 30

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
國家/地區Taiwan
城市Taipei
期間11-06-2711-06-30

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 軟體
  • 人工智慧
  • 應用數學

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