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» A semantics-based approach to malware detection
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ACSAC
2007
IEEE
14 years 5 months ago
MetaAware: Identifying Metamorphic Malware
Detection of malicious software (malware) by the use of static signatures is often criticized for being overly simplistic. Available methods of obfuscating code (so-called metamor...
Qinghua Zhang, Douglas S. Reeves
SP
2005
IEEE
131views Security Privacy» more  SP 2005»
14 years 4 months ago
Semantics-Aware Malware Detection
A malware detector is a system that attempts to determine whether a program has malicious intent. In order to evade detection, malware writers (hackers) frequently use obfuscation...
Mihai Christodorescu, Somesh Jha, Sanjit A. Seshia...
JCS
2011
138views more  JCS 2011»
13 years 1 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...
CAV
2011
Springer
216views Hardware» more  CAV 2011»
13 years 2 months ago
Malware Analysis with Tree Automata Inference
Abstract. The underground malware-based economy is flourishing and it is evident that the classical ad-hoc signature detection methods are becoming insufficient. Malware authors ...
Domagoj Babic, Daniel Reynaud, Dawn Song
CCS
2011
ACM
12 years 10 months ago
The power of procrastination: detection and mitigation of execution-stalling malicious code
Malware continues to remain one of the most important security problems on the Internet today. Whenever an anti-malware solution becomes popular, malware authors typically react p...
Clemens Kolbitsch, Engin Kirda, Christopher Kruege...