Mobility and energy-aware hierarchical intrusion detection system for mobile ad hoc networks

Authors:
Eleni Darra;Christoforos Ntantogian;Christos Xenakis;Sokratis Katsikas
Affiliations:
Department of Digital Systems, University of Piraeus, Greece;Department of Digital Systems, University of Piraeus, Greece;Department of Digital Systems, University of Piraeus, Greece;Department of Digital Systems, University of Piraeus, Greece
Venue:
TrustBus'11 Proceedings of the 8th international conference on Trust, privacy and security in digital business
Year:
2011

Citing 8
Cited 0

Agent-Based Cooperative Anomaly Detection for Wireless Ad Hoc Networks

ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Integration of mobility and intrusion detection for wireless ad hoc networks: Research Articles

International Journal of Communication Systems
A game-theoretic intrusion detection model for mobile ad hoc networks

Computer Communications
Collaborative techniques for intrusion detection in mobile ad-hoc networks

Ad Hoc Networks
A Novel Intrusion Detection Architecture Based on Adaptive Selection Event Triggering for Mobile Ad-hoc Networks

IITSI '09 Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics
A novel k-hop compound metric based clustering scheme for ad hoc wireless networks

IEEE Transactions on Wireless Communications
MEACA: mobility and energy aware clustering algorithm for constructing stable MANETs

MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Intrusion detection in wireless ad hoc networks

IEEE Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a hierarchical cluster-based IDS architecture for Mobile Ad-hoc NETworks (MANETs) that considers the mobility and energy of nodes in the cluster formation in order to improve detection accuracy and reduce energy consumption. The proposed architecture adopts and enhances the Mobility and Energy Aware Clustering Algorithm (MEACA), which is the most appropriate for IDS in MANETs, since it aims at forming mobility aware and energy efficient 1-hop clusters. The algorithm maximizes the clusters' stability by choosing nodes with relatively low mobility and high energy to be the cluster-heads and keeping the constructed clusters unchanged to the extent of their maximum possible lifetime. The key advantage of the proposed IDS is that its detection accuracy is not affected from nodes mobility, since each cluster includes nodes with similar direction and speed. Thus, mobile nodes of the same cluster appear more static to each other eliminating cluster reformation, which negatively affects the detection accuracy. Moreover, the distribution of the detection load is based on the remaining energy in each node. Thus, nodes with adequate energy undertake more detection responsibilities than nodes with low power. In this way, the proposed IDS balances the energy consumption in a fair and efficient manner.