Abstract
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.
Original language | English |
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Title of host publication | FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings |
Pages | 2018-2025 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 2011 |
Event | 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan Duration: 2011 Jun 27 → 2011 Jun 30 |
Other
Other | 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 |
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Country | Taiwan |
City | Taipei |
Period | 11-06-27 → 11-06-30 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics