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» A Hybrid Model to Detect Malicious Executables
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SAC
2010
ACM
14 years 1 months ago
Botzilla: detecting the "phoning home" of malicious software
Hosts infected with malicious software, so called malware, are ubiquitous in today’s computer networks. The means whereby malware can infiltrate a network are manifold and rang...
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorst...
CMS
2010
207views Communications» more  CMS 2010»
13 years 7 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...
DIMVA
2011
12 years 10 months ago
Escape from Monkey Island: Evading High-Interaction Honeyclients
Abstract. High-interaction honeyclients are the tools of choice to detect malicious web pages that launch drive-by-download attacks. Unfortunately, the approach used by these tools...
Alexandros Kapravelos, Marco Cova, Christopher Kru...
ACSAC
2006
IEEE
14 years 28 days ago
PolyUnpack: Automating the Hidden-Code Extraction of Unpack-Executing Malware
Modern malware often hide the malicious portion of their program code by making it appear as data at compiletime and transforming it back into executable code at runtime. This obf...
Paul Royal, Mitch Halpin, David Dagon, Robert Edmo...
PR
2008
145views more  PR 2008»
13 years 6 months ago
Probabilistic suffix models for API sequence analysis of Windows XP applications
Given the pervasive nature of malicious mobile code (viruses, worms, etc.), developing statistical/structural models of code execution is of considerable importance. We investigat...
Geoffrey Mazeroff, Jens Gregor, Michael G. Thomaso...