A Novel Marking Probability Distribution Using Probability Propagation in Hierarchical WSN

Authors:
Bo-Chao Cheng;Huan Chen;Guo-Tan Liao
Affiliations:
National Chung-Cheng University, Taiwan, R.O.C. 62107;National Chung-Cheng University, Taiwan, R.O.C. 62107;National Chung-Cheng University, Taiwan, R.O.C. 62107
Venue:
Information Security and Cryptology
Year:
2009

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Abstract

A DoS/DDoS attack may result in wireless sensor network disasters due to the energy exhaustion of the nodes along the attacking path. A cost-effective mitigation strategy should involve the development of the attacking source traceback. There exists the probability packet marking (PPM) solution to reconstruct the attacking path and locate the attacking source. The convergence time of PPM is very sensitive to the marking probability, and this distortion needs to be taken into account in the practical implementation. Further, a fixed probability assignment is not suitable to dynamic topology of hierarchical wireless sensor networks (HWSNs). In this paper, we propose the Stratified Probability Propagation Model (SPPM) integrated with cluster formation phase to assign marking probability in a distributed fashion. The assessments of SPPM are conducted on the Qualnet platform and show the effectiveness of the convergence time of SPPM.