Incorporating unsupervised learning into intrusion detection for wireless sensor networks with structural co-evolvability-Reference-Cited by-同舟云学术

Incorporating unsupervised learning into intrusion detection for wireless sensor networks with structural co-evolvability

Published:2018-10 Issue: Volume:71 Page:939-951
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Qu Hongchun^ORCID,Qiu Zeliang,Tang Xiaoming,Xiang Min,Wang Ping

Funder

National Natural Science Foundation of China

Chongqing Research Program of Basic Research and Frontier Technology

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

1. A review of the use of computational intelligence in the design of military surveillance networks;Ball,2016

2. A survey of intrusion detection systems in wireless sensor networks. Modeling, simulation, and applied optimization (ICMSAO);Can;2015 6th International Conference on IEEE.15,2015

3. Hierarchical energy efficient intrusion detection system for black hole attacks in WSNs;Athmani;Comput. Inf. Technol.,2013

4. A hybrid approach for dynamic intrusion detection in ad hoc networks using genetic algorithm and artificial immune system;Barani;Intelligent Systems (ICIS), 2014 Iranian Conference on IEEE.14,2014

5. Energy-based detection of multi-layer flooding attacks on wireless sensor network;Sarno,2014

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