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A Dendritic Cell Inspired Security System in Wireless Sensor Networks

Authors:
Jingjun Zhao
Kendall E. Nygard

Keywords: Wireless Sensor Networks; Dendritic Cells; Metropolis-Hastings algorithm; Fuzzy Logic; JADE

Abstract:
We describe a scalable distributed methodology for increasing the rate of real packets received by the base station (BS) in a wireless sensor network (WSN) and to limit the inimical impacts of intruders in the network. The proposed security mechanism adopts a dual protection scheme to ensure that the BS obtains maximal real packets. First, we utilize a Dynamic Dendritic Cell Algorithm (DDCA) that effectively detects harmful intruders in a WSN and dynamically adjusts the monitoring period in response to the situation of the network. A sensor node running this algorithm can identify fake packets generated by the intruders based on pre-defined rules. Second, we apply a Markov Chain Monte Carlo (MCMC) method called the Metropolis-Hastings (MH) algorithm to infer the location of intruders in a wireless sensor network using partial information obtained from a subset of the sensor nodes. In turn these inferred locations are used by a fuzzy logic algorithm that we apply to assess the effect of the intruders on a monitored point. Based on the assessment, the BS sends commands that adjust the monitoring period that a sensor node uses to identify an intruder. The mechanism increases the flexibility and accuracy of the DC-inspired algorithm in accurately identifying harmful intruders, especially for harmful mobile intruders. The method can be applied to different sizes of WSNs and to both dynamic and static WSNs. We simulated the proposed algorithms using JADE (Java Agent Development Framework), and the results demonstrate good performance.

Pages: 14 to 21

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-107-6

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010