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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hsien-De Huang Acampora, G. Loia, V. Chang-Shing Lee Hung-Yu Kao |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. Computer Science and Information Engineering, NUTN, Tainan, Taiwan (Chang-Shing Lee) || Dept. Computer Science and Information Engineering, NCKU, Tainan, Taiwan (Hung-Yu Kao) || Dept. Computer Science, University of Salerno Italy (Acampora, G.; Loia, V.) || National Center for High-Performance Computing, NARL, Tainan, Taiwan (Hsien-De Huang) |
| 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. |
| Starting Page | 2018 |
| Ending Page | 2025 |
| File Size | 556216 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007716 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Malware IP networks Ontologies OWL Computers Fuzzy systems XML fuzzy markup language malware behavioural analysis ontology fuzzy ontology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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