Art

J-GLOBAL ID：200902227133895783   Reference number：09A0345980

An Automatic Unpacking Method for Computer Virus Effective in the Virus Filter Based on Paul Graham’s Bayesian Theorem

Paul GrahamのBayes定理に基づくウイルスフィルタにおいて効果的なコンピュータウイルスに対する自動アンパック法

Author (4)： ZHANG Dengfeng (Iwate Univ., Morioka-shi, JPN) ,  NAKAYA Naoshi (Iwate Univ., Morioka-shi, JPN) ,  KOUI Yuuji (Iwate Univ., Morioka-shi, JPN) ,  YOSHIDA Hitoaki (Iwate Univ., Morioka-shi, JPN)
Material： IEICE Transactions on Communications (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Commun (Inst Electron Inf Commun Eng))
Volume： E92-B  Issue： 4  Page： 1119-1127  Publication year： Apr. 01, 2009 
JST Material Number： L1369A  ISSN： 0916-8516  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *computer virus ,  Bayes estimation ,  pattern matching ,  data update ,  computer code ,  computer algorithm ,  data compression ,  program transformation ,  data format ,  filter ,  security ,  feature extraction ,  debugging ,  performance evaluation ,  personal computer ,  operating system ,  detection
Semi thesaurus term： obfuscation ,  *network security ,  pattern extraction ,  Windows XP ,  automatic detection

JST classification (2)： Data protection  (JD01020V) ,  Computer networks  (JC03000K)

Reference (16)：

• IPA. "The computer virus report conditions of 2007", report, Information-technology Promotion Agency Japan. 2006
• CHRISTODORESCU, M. Static analysis of executables to detect malicious patterns. 12th USENIX Security Symposium, 2003. 2003, 169
• NAKAYA, N. The network system defended from infection of unknown e-mail viruses (network security). Trans. IPSJ. 2004, 45, 8, 1908-1920
• SCHULTZ, M. G. Data mining methods for detection of new malicious executables. Security and Privacy. 2001, 38-49
• KOIKE, R. The unknown viruses detection method using bayes learning algorithm. Trans. IPSJ. 2005, 46, 8, 1984-1996

Terms in the title (3)： 定理 ,  ウイルス ,  コンピュータウイルス