Hybrid Anomaly Detection by Using Clustering for Wireless Sensor Network

2018 ◽  
Vol 106 (4) ◽  
pp. 1841-1853 ◽  
Author(s):  
Bilal Ahmad ◽  
Wang Jian ◽  
Zain Anwar Ali ◽  
Sania Tanvir ◽  
M. Sadiq Ali Khan
1969 ◽  
Vol 9 (11) ◽  
Author(s):  
Quazi Mamun ◽  
Rafiqul Islam ◽  
Mohammed Kaosar

2010 ◽  
Vol 20-23 ◽  
pp. 249-253
Author(s):  
Yu Xin Mao ◽  
Wen Ya Tian

Wireless sensor networks are going to play a more and more important role in applications of next generation manufacturing systems. In this paper, we present a secure and intelligent wireless sensor network framework for manufacturing monitoring. We try to solve the problem of manufacturing monitoring from a new point of view. We introduce the layered architecture of the wireless sensor network framework in detail. Considering the vulnerable feature of Wireless sensor network, we also propose a secure mechanism based on the structure of wireless sensor network by using the anomaly detection technology. The major contribution of this paper is that we integrate wireless sensor network with secure and intelligent technologies to improve the overall performance of manufacturing monitoring.


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