DocumentCode
3425656
Title
A Weak Hidden Markov Model based intrusion detection method for wireless sensor networks
Author
Song, Xianfeng ; Chen, Guangxi ; Li, Xiaolong
Author_Institution
Sch. of Comput. & Eng., Guilin Univ. of Electron. Technol., Guilin, China
fYear
2010
fDate
22-24 Oct. 2010
Firstpage
887
Lastpage
889
Abstract
This paper proposes a methodology for detecting intrusion in wireless sensor networks using Weak Hidden Markov Models (W-HMM). W-HMM is a non-parametric version of Hidden Markov models (HMM), wherein state transition probabilities are reduced to rules of reachability. In particular, we introduce scoring scheme and deviation alarm mechanisms to detect intrusion. Simulation results show that the methodology is efficient.
Keywords
hidden Markov models; security of data; wireless sensor networks; deviation alarm mechanisms; hidden Markov model; intrusion detection method; non-parametric version; scoring scheme; wireless sensor networks; Cryptography; Sensors; Simulation; Wireless communication; Wireless sensor networks; Deviation Alarm; Intrusion Detection; Scoring Scheme; W-HMM; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-6834-8
Type
conf
DOI
10.1109/ICISS.2010.5657049
Filename
5657049
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