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» N-Gram-Based Detection of New Malicious Code
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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...
DIMVA
2006
13 years 7 months 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
TACAS
2012
Springer
275views Algorithms» more  TACAS 2012»
12 years 1 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
ACSAC
2010
IEEE
13 years 3 months ago
Heap Taichi: exploiting memory allocation granularity in heap-spraying attacks
Heap spraying is an attack technique commonly used in hijacking browsers to download and execute malicious code. In this attack, attackers first fill a large portion of the victim...
Yu Ding, Tao Wei, Tielei Wang, Zhenkai Liang, Wei ...
ATAL
2003
Springer
13 years 10 months ago
A configurable mobile agent data protection protocol
This paper addresses the problem of protecting the data carried by mobile agents from the possible attacks of malicious execution hosts. Specifically, we consider protection mecha...
Paolo Maggi, Riccardo Sisto