- author = "A. Cani and M. Gaudesi and E. Sanchez and G. Squillero and A. Tonda",
- title = "Towards Automated Malware Creation: Code Generation and Code Integration",
- institution = "Electronic CAD and Reliability Group, Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino",
- year = "2014",
- type = "Internal Report",
- address = "Corso Duca degli Abruzzi, 24, 10129 Turin, Italy",
- month = "25 " # jan,
- keywords = "genetic algorithms, genetic programming, MicroGP",
- true_link = "http://www.cad.polito.it/downloads/White_papers/Towards%20Automated%20Malware%20Creation%20-%20Code%20Generation%20&%20Code%20Integration.pdf",
-
URL = "
http://www.cad.polito.it/2014/Cani_2014_SACtr2.pdf",
- size = "13 pages",
- abstract = "The analogies between computer malware and biological viruses are more than obvious. The very idea of an artificial ecosystem where malicious software can evolve and autonomously find new, more effective ways of attacking legitimate programs and damaging sensitive information is both terrifying and fascinating. The paper proposes two different ways for exploiting an evolutionary algorithm to devise malware: the former targeting heuristic-based anti-virus scanner; the latter optimizing a Trojan attack. Testing the stability of a system against attacks, or checking the reliability of the heuristic scan of anti-virus software could be interesting for the research community and advantageous to the IT industry. Experimental results shows the feasibility of the proposed approaches on simple real-world test cases. A short paper on the same subject appeared at the 29th Symposium On Applied Computing (SAC'14).",
-
notes = "Cites \cite{Sanchez:uGP:book} and
\cite{squillero:2005:GPEM}
Long version of 2 page poster at SAC 2014 \cite{Cani:2014:SAC}
Orginally 3 Dec 2013 \cite{Cani:2014:SACtr} To avoid overlap URL Cani_2014_SACtr2.pdf refers to January 25, 2014 version.",
