Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

An improved Algorithm of Generating Network Intrusion Detector

Authors
Li Ma, Yan Chen
Corresponding Author
Li Ma
Available Online September 2012.
DOI
10.2991/emeit.2012.9How to use a DOI?
Keywords
intrusion detection, negative algorithm, abnormal detection, optimization of Genelib
Abstract

On the basis of the analysis of the current algorithms on generating detector, an algorithm of generating network intrusion detector is proposed to avoid the disadvantages of negative selection. The algorithm takes advantage of the strategies such as gene library (GeneLib) etc to improve the efficiency and TP (true positive). Meanwhile, with the introducing of collaborative signals, the algorithm is good for recognizing the mistake operations so as to reduce FP (false positive). The experiment results show that the proposed algorithm is practical and efficient.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.9How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Ma
AU  - Yan Chen
PY  - 2012/09
DA  - 2012/09
TI  - An improved Algorithm of Generating Network Intrusion Detector
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 43
EP  - 47
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.9
DO  - 10.2991/emeit.2012.9
ID  - Ma2012/09
ER  -