| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2009-12-04 |
| タイトル |
|
|
タイトル |
The Unknown Computer Viruses Detection Based on Similarity |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
computer virus |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
unknown virus |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
static analysis technology |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
similarity |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者 |
LIU, Zhongda
NAKAYA, Naoshi
KOUI, Yuuji
|
| 著者(機関) |
|
|
値 |
Graduate School of Engineering, Iwate University |
| 登録日 |
|
|
日付 |
2009-12-04 |
| 書誌情報 |
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
巻 E92-A,
号 1,
p. 190-196,
発行日 2009-01-01
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0916-8508 |
| Abstract |
|
|
内容記述タイプ |
Other |
|
内容記述 |
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. |
| 出版者 |
|
|
出版者 |
社団法人 電子情報通信学会 |
| 権利 |
|
|
権利情報 |
Copyright (c) 2009 （社）電子情報通信学会 |
| DOI |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1587/transfun.E92.A.190 |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
ieicet-ve92-an1p190-196-.pdf (3.8 MB)
