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» Detection of New Malicious Code Using N-grams Signatures
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ICSM
2009
IEEE
15 years 5 months ago
Detecting virus mutations via dynamic matching
To defeat current commercial antivirus software, the virus developers are employing obfuscation techniques to create mutating viruses. The current antivirus software cannot handle...
Min Feng, Rajiv Gupta
EUROCRYPT
2003
Springer
15 years 4 months ago
Extracting Group Signatures from Traitor Tracing Schemes
Abstract. Digital Signatures emerge naturally from Public-Key Encryption based on trapdoor permutations, and the “duality” of the two primitives was noted as early as Diffie-He...
Aggelos Kiayias, Moti Yung
DSN
2008
IEEE
15 years 5 months ago
AGIS: Towards automatic generation of infection signatures
An important yet largely uncharted problem in malware defense is how to automate generation of infection signatures for detecting compromised systems, i.e., signatures that charac...
Zhuowei Li, XiaoFeng Wang, Zhenkai Liang, Michael ...
TACAS
2012
Springer
275views Algorithms» more  TACAS 2012»
13 years 6 months ago
Pushdown Model Checking for Malware Detection
The number of malware is growing extraordinarily fast. Therefore, it is important to have efficient malware detectors. Malware writers try to obfuscate their code by different tec...
Fu Song, Tayssir Touili
DIMVA
2006
15 years 10 days ago
Detecting Self-mutating Malware Using Control-Flow Graph Matching
Next generation malware will by be characterized by the intense use of polymorphic and metamorphic techniques aimed at circumventing the current malware detectors, based on pattern...
Danilo Bruschi, Lorenzo Martignoni, Mattia Monga