A Weak Hidden Markov Model based intrusion detection method for wireless sensor networks

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.