Evolving Successful Stack Overflow Attacks for Vulnerability Testing
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{10.1109/CSAC.2005.23,
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author = "H. Gunes Kayacyk and A. Nur Zincir-Heywood and
Malcolm Heywood",
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title = "Evolving Successful Stack Overflow Attacks for
Vulnerability Testing",
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booktitle = "21st Annual Computer Security Applications Conference
(ACSAC'05)",
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year = "2005",
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pages = "225--234",
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month = dec,
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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ISSN = "1063-9527",
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URL = "http://www.acsac.org/2005/papers/119.pdf",
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DOI = "doi:10.1109/CSAC.2005.23",
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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.",
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notes = "note incorrect spelling of first author",
- }
Genetic Programming entries for
Hilmi Gunes Kayacik
Nur Zincir-Heywood
Malcolm Heywood
Citations