A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks

Abstract: Wireless sensor network (WSN) has been broadly implemented in real world applications, such as monitoring of forest fire, military targets detection, medical and/or science areas and above all in our daily home life as well. Nevertheless, WSNs are effortlessly compromised by adversaries due to their broadcast transmission medium as a means of communication which are lacking in tamper resistance. Consequently, an intruder can over hear all traffic, replay previous messages, inject malicious data packets, or can compromise a node. Commonly, sensor nodes are very much vulnerable of two main issues in security aspect that are node authentication and compromising a node. In this paper, a heterogeneous framework of node capture and intrusion detection for WSNs is proposed. This framework efficiently detects the captured nodes by using a novel technique, embedded with an Intrusion Detection mechanism which aggregates Signature and Anomaly based approach with Neural Network Multi-Layer Perceptron (MLP) classification in a clustering environment. Moreover, the proposed framework achieves efficiency at reasonable computation and communication costs and it can be a security shield to real WSN applications.

Mustafa Al-Fayoumi, Yasir Ahmad and Usman Tariq. “A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks”. International Journal of Advanced Computer Science and Applications (IJACSA) 7.12 (2016). http://dx.doi.org/10.14569/IJACSA.2016.071207

@article{Al-Fayoumi2016,
title = {A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071207},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071207},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {12},
author = {Mustafa Al-Fayoumi and Yasir Ahmad and Usman Tariq}
}