A Partially Distributed Intrusion Detection System for Wireless Sensor Networks

Abstract

The increasing use of wireless sensor networks, which normally comprise several very small sensor nodes, makes their security an increasingly important issue. They can be practically and efficiently secured using intrusion detection systems. Conventional security mechanisms are not usually applicable due to the sensor nodes having limitations of computational power, memory capacity, and battery power. Therefore, specific security systems should be designed to function under constraints of energy or memory. A partially distributed intrusion detection system with low memory and power demands is proposed here. It employs a Bloom filter, which allows reduced signature code size. Multiple Bloom filters can be combined to reduce the signature code for each Bloom filter array. The mechanism could then cope with potential denial of service attacks, unlike many previous detection systems with Bloom filters. The mechanism was evaluated and validated through analysis and simulation.

Quantal Response Equilibrium-Based Strategies for Intrusion Detection in WSNs

“…In another paper [17], they analyzed dynamic redundancy management of integrated intrusion detection and tolerance, which is to maximize the lifetime of homogeneous clustered WSNs. To cope with potential Denial of Service attacks in WSNs, Cho et al [18] proposed a partially distributed intrusion detection system with low memory and power requirements. In [19], Farooqi et al proposed a novel intrusion detection mechanism including online prevention and offline detection for securing WSNs from routing attacks.…”

Advanced Smoothing Approach of RSSI and LQI for Indoor Localization System

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An Improved Mobility-Based Control Protocol for Tolerating Clone Failures in Wireless Sensor Networks

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