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» Using Formal Grammar and Genetic Operators to Evolve Malware
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RAID
2009
Springer
12 years 6 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...
GECCO
2009
Springer
191views Optimization» more  GECCO 2009»
12 years 6 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...
AIIA
1995
Springer
12 years 3 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
ECAL
2003
Springer
12 years 5 months ago
Representation of Genotype and Phenotype in a Coherent Framework Based on Extended L-Systems
A formal language approach for the specification of ALife models is presented. “Relational Growth Grammars” incorporate rulebased, procedural and object-oriented concepts. By ...
Ole Kniemeyer, Gerhard H. Buck-Sorlin, Winfried Ku...
EUROGP
2004
Springer
123views Optimization» more  EUROGP 2004»
12 years 5 months ago
Global Distributed Evolution of L-Systems Fractals
Internet based parallel genetic programming (GP) creates fractal patterns like Koch’s snow flake. Pfeiffer, http://www.cs.ucl.ac.uk /staff/W.Langdon/pfeiffer.html, by analogy w...
William B. Langdon
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