Referenced Items are not available for this document.
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.
Published in:
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Date of Conference: 22-24 Oct. 2010
- Page(s):
- 887 - 889
- Print ISBN:
- 978-1-4244-6834-8
- INSPEC Accession Number:
- 11678848
- Conference Location :
- Guilin
- Digital Object Identifier :
- 10.1109/ICISS.2010.5657049
- Product Type:
- Conference Publications
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