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» Improving the efficiency of dynamic malware analysis
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SAC
2010
ACM
13 years 4 months ago
Improving the efficiency of dynamic malware analysis
Each day, security companies see themselves confronted with thousands of new malware programs. To cope with these large quantities, researchers and practitioners alike have develo...
Ulrich Bayer, Engin Kirda, Christopher Kruegel
SP
2010
IEEE
194views Security Privacy» more  SP 2010»
13 years 8 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 ...
ICISS
2009
Springer
13 years 11 months ago
A Framework for Behavior-Based Malware Analysis in the Cloud
Abstract. To ease the analysis of potentially malicious programs, dynamic behavior-based techniques have been proposed in the literature. Unfortunately, these techniques often give...
Lorenzo Martignoni, Roberto Paleari, Danilo Brusch...
CAV
2004
Springer
136views Hardware» more  CAV 2004»
13 years 8 months ago
JNuke: Efficient Dynamic Analysis for Java
JNuke is a framework for verification and model checking of Java programs. It is a novel combination of run-time verification, explicit-state model checking, and counter-example ex...
Cyrille Artho, Viktor Schuppan, Armin Biere, Pasca...
APSEC
1999
IEEE
13 years 8 months ago
Slicing Methods Using Static and Dynamic Analysis Information
In this paper, we propose four slicing methods using both static and dynamic analysis information. (1) StatementMark Slice : removes the unnecessary statements using an execution ...
Yoshiyuki Ashida, Fumiaki Ohata, Katsuro Inoue