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» A semantics-based approach to malware detection
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ISSTA
2012
ACM
11 years 7 months ago
A quantitative study of accuracy in system call-based malware detection
Over the last decade, there has been a significant increase in the number and sophistication of malware-related attacks and infections. Many detection techniques have been propos...
Davide Canali, Andrea Lanzi, Davide Balzarotti, Ch...
SAC
2010
ACM
14 years 1 days ago
Botzilla: detecting the "phoning home" of malicious software
Hosts infected with malicious software, so called malware, are ubiquitous in today’s computer networks. The means whereby malware can infiltrate a network are manifold and rang...
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorst...
DSN
2005
IEEE
13 years 10 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
13 years 11 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
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
13 years 9 months ago
Malware detection using statistical analysis of byte-level file content
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...