A novel intrusion detection system for wireless mesh network with hybrid feature selection technique based on GA and MI-Reference-Cited by-同舟云学术

A novel intrusion detection system for wireless mesh network with hybrid feature selection technique based on GA and MI

Published:2018-03-22 Issue:3 Volume:34 Page:1243-1250
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Vijayanand R.¹,Devaraj D.²,Kannapiran B.³

Affiliation:

1. Department of Computer Science and Engineering, Kalasalingam University, Tamilnadu, India

2. Department of Electrical and Electronics Engineering, Kalasalingam University, Tamilnadu, India

3. Department of Electronics and Instrumentation Engineering, Kalasalingam University, Tamilnadu, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference38 articles.

1. Selfish insider attacks in IEEE 802.11s wireless mesh networks;Scott;IEEE Communication Magazine,2014

2. On quality of monitoring for multichannel wireless infrastructure networks;Nguyen;IEEE Transactions on Mobile Computing,2014

3. Hassanzadeh A. , Stoleru R. and Shihada B. , Energy efficient monitoring for intrusion detection in battery-powered wireless mesh network, In: Proceedings of the ADHOC-NOW Workshop (2011), pp. 44–57.

4. Security framework for wireless communications in smart distribution grid;Wang;IEEE Transactions on Smart Grid,2010

5. A DGC-based data classification method used for abnormal network intrusion detection;Yang;Lecture Notes on Computer Science,2006

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