Evolving Successful Stack Overflow Attacks for Vulnerability Testing

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{10.1109/CSAC.2005.23,

• author = "H. Gunes Kayacyk and A. Nur Zincir-Heywood and Malcolm Heywood",
• title = "Evolving Successful Stack Overflow Attacks for Vulnerability Testing",
• booktitle = "21st Annual Computer Security Applications Conference (ACSAC'05)",
• year = "2005",
• pages = "225--234",
• month = dec,
• publisher = "IEEE Computer Society",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• ISSN = "1063-9527",
• URL = "http://www.acsac.org/2005/papers/119.pdf",
• DOI = "doi:10.1109/CSAC.2005.23",
• abstract = "The work presented in this paper is intended to test crucial system services against stack overflow vulnerabilities. The focus of the test is the user-accessible variables, that is to say, the inputs from the user as specified at the command line or in a configuration file. The tester is defined as a process for automatically generating a wide variety of user-accessible variables that result in malicious buffers (an exploit). In this work, the search for successful exploits is formulated as an optimisation problem and solved using evolutionary computation. Moreover the resulting attacks are passed through the Snort misuse detection system to observe the detection (or not) of each exploit.",
• notes = "note incorrect spelling of first author",

}

Genetic Programming entries for Hilmi Gunes Kayacik Nur Zincir-Heywood Malcolm Heywood

Citations