NDLI: Algorithm for tuning fuzzy network attack classifiers based on invasive weed optimization

Content Provider	IEEE Xplore Digital Library
Author	Anfilofiev, A.E. Hodashinsky, I.A. Evsutin, O.O.
Copyright Year	2014
Description	Author affiliation: Complex Inf. Security of Comput. Syst. Dept., Tomsk State Univ. of Control, Tomsk, Russia (Anfilofiev, A.E.; Hodashinsky, I.A.; Evsutin, O.O.)
Abstract	The purpose of this work is to describe a hybrid approach for constructing intrusion detection systems that incorporates feature extraction algorithms and algorithms for tuning classifiers. In this paper, we construct the classification algorithm based on the invasive weed optimization algorithm and use the genetic algorithm (GA) to reduce the dimension of the feature space. The experimental results support the efficiency of the proposed approach for solving intrusion detection problems.
Starting Page	1
Ending Page	4
File Size	231516
Page Count	4
File Format	PDF
ISBN	9781479964062
e-ISBN	9781479964079
DOI	10.1109/Dynamics.2014.7005632
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-11
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Feature selection Learning classification rules Network security Classification algorithms Pattern recognition Genetic algorithms Training Accuracy Genetic algorithm Intrusion detection Support vector machine classification DARPA dataset Swarm intelligence Fuzzy systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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