The Unknown Computer Viruses Detection Based on Similarity
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概要
- 論文の詳細を見る
New computer viruses are continually being generated and they cause damage all over the world. In general, current anti-virus software detects viruses by matching a pattern based on the signature; thus, unknown viruses without any signature cannot be detected. Although there are some static analysis technologies that do not depend on signatures, virus writers often use code obfuscation techniques, which make it difficult to execute a code analysis. As is generally known, unknown viruses and known viruses share a common feature. In this paper we propose a new static analysis technology that can circumvent code obfuscation to extract the common feature and detect unknown viruses based on similarity. The results of evaluation experiments demonstrated that this technique is able to detect unknown viruses without false positives.
- 社団法人 電子情報通信学会の論文
- 2009-01-01
著者
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Koui Yuuji
Graduate School Of Engineering Iwate University
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Nakaya Naoshi
Graduate School Of Engineering Iwate University
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LIU Zhongda
Graduate School of Engineering, Iwate University
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Liu Zhongda
Graduate School Of Engineering Iwate University