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.
|主出版物標題||FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings|
|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 27 → 2011 六月 30
|Other||2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011|
|期間||11-06-27 → 11-06-30|
All Science Journal Classification (ASJC) codes