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 |
|---|---|
| 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 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 11-06-27 → 11-06-30 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics
Cite this
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Applying FML and Fuzzy Ontologies to malware behavioural analysis. / Huang, Hsien De; Acampora, Giovanni; Loia, Vincenzo; Lee, Chang Shing; Kao, Hung-Yu.
FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. 2011. p. 2018-2025 6007716.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Applying FML and Fuzzy Ontologies to malware behavioural analysis
AU - Huang, Hsien De
AU - Acampora, Giovanni
AU - Loia, Vincenzo
AU - Lee, Chang Shing
AU - Kao, Hung-Yu
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80053058145&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053058145&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2011.6007716
DO - 10.1109/FUZZY.2011.6007716
M3 - Conference contribution
AN - SCOPUS:80053058145
SN - 9781424473175
SP - 2018
EP - 2025
BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
ER -