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A Two-Phase Security Algorithm for Hierarchical Sensor Networks

Authors:
Jingjun Zhao
Kendall E. Nygard

Keywords: Sensor Networks; Dendritic Cells Algorithm; Markov Chain Monte Carlo; Tabu Search

Abstract:
We present a two-phase security system designed for hierarchical wireless sensor networks and show how it can be used to detect Denial-of-Service attacks and track harmful intruders. This type of energy-exhaustion attacks can break the connection of a sensor network and decreases its lifetime. First, we apply a Dendritic Cell Algorithm inspired by danger theory to actively detect attacked sensors that are implementing battery exhaustion attack to neighbors. Second, the system passively analyzes the tracks of the moving harmful intruders. The tracking information is used by the base station to more efficiently monitor and control the network. We adopt Markov Chain Monte Carlo methods to track the intruders and a Tabu Search technique to accelerate the searching of the final intruder tracks. The simulation results demonstrate good performance of this corrective and preventive security mechanism on detecting the malfunction sensors and tracking the intruders.

Pages: 114 to 120

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-154-0

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011