Adaptabilty of a GP Based IDS on Wireless Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @InProceedings{Makanju:2008:ARES,
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author = "Adetokunbo Makanju and A. Nur Zincir-Heywood and
Evangelos E. Milios",
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title = "Adaptabilty of a GP Based IDS on Wireless Networks",
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booktitle = "Third International Conference on Availability,
Reliability and Security, ARES 08",
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year = "2008",
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month = mar,
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pages = "310--318",
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keywords = "genetic algorithms, genetic programming, GP based IDS,
Kismet, Snort-Wireless, WiFi networks, data link layer,
intrusion detection system, machine learning, wireless
networks, learning (artificial intelligence), security
of data, wireless LAN",
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DOI = "doi:10.1109/ARES.2008.50",
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abstract = "Security and Intrusion detection in WiFi networks is
currently an active area of research where WiFi
specific Data Link layer attacks are an area of focus;
particularly recent work has focused on producing
machine learning based IDSs for these WiFi specific
attacks. These proposed machine learning based IDSs
come in addition to the already deployed signatures
which are already in use in conventional intrusion
detection systems like Snort-Wireless and Kismet. In
this paper, we compare the detection capability of
Snort-Wireless and a Genetic Programming (GP) based
intrusion detector, based on the ability to adapt to
modified attacks, ability to adapt to similar unknown
attacks and infrastructure independent detection. Our
results show that the GP based detection system is much
more robust against modified attacks compared to
Snort-Wireless. Moreover, by focusing on the method(s)
used in feature preprocessing for presentation to
learning algorithms, GP based IDSs can achieve
infrastructure independent detection and can adapt to
similar unknown attacks too. On the other hand, even
though Snort-Wireless is an infrastructure independent
detector, it cannot adapt to unknown attacks even if
they are similar to others for which it has signatures
on.",
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notes = "Also known as \cite{4529352}",
- }
Genetic Programming entries for
Tokunbo Makanju
Nur Zincir-Heywood
Evangelos E Milios
Citations