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AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
JCS
2011
138views more  JCS 2011»
12 years 7 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...
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 ...
CMS
2010
207views Communications» more  CMS 2010»
13 years 4 months ago
Statistical Detection of Malicious PE-Executables for Fast Offline Analysis
While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related ...
Ronny Merkel, Tobias Hoppe, Christian Krätzer...
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
13 years 11 months ago
Collision avoidance in dynamic environments: An ICS-based solution and its comparative evaluation
Abstract— This paper presents ICS-AVOID, a collision avoidance scheme based upon the concept of Inevitable Collision State (ICS), ie a state for which, no matter what the future ...
Luis Martinez-Gomez, Thierry Fraichard