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RAID
2009
Springer
13 years 11 months ago
Using Formal Grammar and Genetic Operators to Evolve Malware
In this paper, we leverage the concepts of formal grammar and genetic operators to evolve malware. As a case study, we take COM infectors and design their formal grammar with produ...
Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Mu...
DIMVA
2006
13 years 6 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
GECCO
2009
Springer
191views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolvable malware
The concept of artificial evolution has been applied to numerous real world applications in different domains. In this paper, we use this concept in the domain of virology to ev...
Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Mu...
IEEEARES
2010
IEEE
13 years 11 months ago
Formalization of Viruses and Malware Through Process Algebras
Abstract—Abstract virology has seen the apparition of successive viral models, all based on Turing-equivalent formalisms. Considering recent malware, these are only partially cov...
Grégoire Jacob, Eric Filiol, Hervé D...
ICPR
2010
IEEE
13 years 8 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...