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
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;
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
DOI :
10.1109/ICISS.2010.5657049
