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» Semantics-Aware Malware Detection
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SIGSOFT
2007
ACM
15 years 10 months ago
Mining specifications of malicious behavior
Malware detectors require a specification of malicious behavior. Typically, these specifications are manually constructed by investigating known malware. We present an automatic t...
Mihai Christodorescu, Somesh Jha, Christopher Krue...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
14 years 8 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
DSN
2005
IEEE
15 years 3 months ago
Detecting Stealth Software with Strider GhostBuster
Stealth malware programs that silently infect enterprise and consumer machines are becoming a major threat to the future of the Internet [XZ04]. Resource hiding is a powerful stea...
Yi-Min Wang, Doug Beck, Binh Vo, Roussi Roussev, C...
CCS
2007
ACM
15 years 3 months ago
Stealthy malware detection through vmm-based "out-of-the-box" semantic view reconstruction
An alarming trend in malware attacks is that they are armed with stealthy techniques to detect, evade, and subvert malware detection facilities of the victim. On the defensive sid...
Xuxian Jiang, Xinyuan Wang, Dongyan Xu