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JCS
2011
138views more  JCS 2011»
12 years 10 months ago
Automatic analysis of malware behavior using machine learning
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
Konrad Rieck, Philipp Trinius, Carsten Willems, Th...
IPCCC
2006
IEEE
14 years 1 months ago
Optimising malware
In recent years, malicious software (malware) has become one of the most insidious threats in computer security. However, this is arguably not the result of increased sophisticati...
José M. Fernandez, Pierre-Marc Bureau
SP
2010
IEEE
194views Security Privacy» more  SP 2010»
13 years 11 months ago
Identifying Dormant Functionality in Malware Programs
—To handle the growing flood of malware, security vendors and analysts rely on tools that automatically identify and analyze malicious code. Current systems for automated malwar...
Paolo Milani Comparetti, Guido Salvaneschi, Engin ...
DSN
2008
IEEE
14 years 1 months ago
Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware
Many threats that plague today’s networks (e.g., phishing, botnets, denial of service attacks) are enabled by a complex ecosystem of attack programs commonly called malware. To ...
Xu Chen, Jonathon Andersen, Zhuoqing Morley Mao, M...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
13 years 5 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