Title: Intrusion detection system for mitigating attacks using energy monitoring in wireless sensor networks

Authors: B. Yasotha; T. Sasikala

Addresses: Department of Computer Science Engineering, MNM Jain Engineering College, Anna University, India ' SRR Engineering College, Chennai, India

Abstract: In wireless sensor network (WSN), the existing literature works predicts the energy consumption using operational state transition model. In this method, each state should be known to the sink, in order to predict accurately. Also, in some cases, if the residual energy estimation is not based on the operational states of a sensor node, it may not reflect the exact amount of energy consumed by each node. In order to overcome these issues, in this paper, we propose to design an intrusion detection system to detect and mitigate the attacks using energy monitoring technique. In this technique, the malicious attacks are detected by monitoring the node's energy. The monitoring nodes predicts the energy using hidden Markov model (HMM) and compares it with the actual energy detected through an energy query technique. The detected attacks are classified based on the energy threshold levels. The attacks are then mitigated by establishing the attack-free route between source and destination, respectively. By simulation results, we show that the proposed technique increases the efficiency, reduces overhead and energy consumption.

Keywords: wireless sensor networks; WSNs; hidden Markov model; HMM; intrusion detection systems; IDS; detected attacks; network attacks; energy monitoring; node energy consumption; network security; simulation.

DOI: 10.1504/IJMNDI.2016.081663

International Journal of Mobile Network Design and Innovation, 2016 Vol.6 No.4, pp.219 - 227

Received: 29 Jan 2016
Accepted: 26 Mar 2016

Published online: 19 Jan 2017 *

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