リュウ　チュウタツ   Liu Zhongda   劉　忠達    所属   石巻専修大学  理工学部    職種   准教授
言語種別	英語
発行・発表の年月	2009/01
形態種別	研究論文（学術雑誌）
査読	査読あり
標題	The Unknown Computer Viruses Detection Based on Similarity
執筆形態	共著
掲載誌名	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
掲載区分	国内
出版社・発行元	IEICE Transactions on Fundamentals of Electronics
巻・号・頁	E92.A(1),pp.190-196
著者・共著者	Zhongda LIU Naoshi NAKAYA Yuuji KOUI
概要	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.
DOI	10.1587/transfun.E92.A.190