Intrusion Detection Based on Parallel Intelligent Optimization Feature Extraction and Distributed Fuzzy Clustering in WSNs

Intrusion Detection Based on Parallel Intelligent Optimization Feature Extraction and Distributed Fuzzy Clustering in WSNs

Aiming at large-scale, high dimensional data, and variable intrusion behavior in wireless sensor networks (WSNs), an intrusion detection algorithm based on parallel intelligent optimization feature extraction and distributed fuzzy clustering for WSNs is proposed. First, in order to effectively reduc...

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Bibliographic Details
Main Authors: Zhouzhou Liu, Wei Wei, Hao Wang, Yangmei Zhang, Qianyun Zhang, Shining Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Feature extraction
fuzzy clustering
intrusion detection
social spider optimization algorithm
wireless sensor networks
Online Access:https://ieeexplore.ieee.org/document/8534358/

Internet

https://ieeexplore.ieee.org/document/8534358/

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