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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ramilli, M. Prandini, M. |
| Copyright Year | 2003 |
| Abstract | In this paper, existing sophisticated techniques can provide a deep and effective analysis to discover whether files hide a computer virus or other malware. Examples of the most effective approaches are heuristic or exhaustive static code analysis and behavior alanalysis in a sandbox environment. However, given the huge number of circulating malware and the high-performance impact associated with the aforementioned approaches, the most frequently employed tool remains signature detection. Antivirus software (AVS) is endowed with a database of patterns signatures, each characterizing a known malware or variant thereof. By scanning a target file, an AVS is able to tell whether it contains traces revealing the presence of malware, or if it's clean-a generally applicable approach, valued for its efficiency, which makes it suitable for real-time analysis of user-requested content. Unfortunately, today's malware writers can easily sneak their creations past most signature-based antimalware programs by beating the raw speed at which the signature databases can be updated after a new malware is observed in the wild, and, most notably, by creating countless variants of the same malware, each one sporting a different signature. The author mentions that the installment of Attack Trends foresees the inclusion of AVS in the design loop, leading to a more effective process for the generation of new variants of malware based on the direct manipulation of binary code. |
| Sponsorship | IEEE Computer Society |
| File Size | 1053778 |
| File Format | |
| ISSN | 15407993 |
| Volume Number | 8 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Binary codes Signature detection evasion Computer security Computer viruses Code mutation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Computer Networks and Communications Electrical and Electronic Engineering |
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