An intrusion detection method for internet of things based on suppressed fuzzy clustering

An intrusion detection method for internet of things based on suppressed fuzzy clustering

Abstract In order to improve the effectiveness of intrusion detection, an intrusion detection method of the Internet of Things (IoT) is proposed by suppressed fuzzy clustering (SFC) algorithm and principal component analysis (PCA) algorithm. In this method, the data are classified into high-risk dat...

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Bibliographic Details
Main Authors: Liqun Liu, Bing Xu, Xiaoping Zhang, Xianjun Wu
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Internet of things
Intrusion detection
Suppressed fuzzy clustering algorithm
Principal component analysis algorithm
Online Access:http://link.springer.com/article/10.1186/s13638-018-1128-z

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http://link.springer.com/article/10.1186/s13638-018-1128-z

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