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Sensors 2015, 15(11), 29332-29345; doi:10.3390/s151129332

Multi-Layer Approach for the Detection of Selective Forwarding Attacks

Computer Science and Engineering Department, University of Bridgeport, Bridgeport, CT 06604, USA
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Authors to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Received: 22 September 2015 / Revised: 13 November 2015 / Accepted: 16 November 2015 / Published: 19 November 2015
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
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Abstract

Security breaches are a major threat in wireless sensor networks (WSNs). WSNs are increasingly used due to their broad range of important applications in both military and civilian domains. WSNs are prone to several types of security attacks. Sensor nodes have limited capacities and are often deployed in dangerous locations; therefore, they are vulnerable to different types of attacks, including wormhole, sinkhole, and selective forwarding attacks. Security attacks are classified as data traffic and routing attacks. These security attacks could affect the most significant applications of WSNs, namely, military surveillance, traffic monitoring, and healthcare. Therefore, there are different approaches to detecting security attacks on the network layer in WSNs. Reliability, energy efficiency, and scalability are strong constraints on sensor nodes that affect the security of WSNs. Because sensor nodes have limited capabilities in most of these areas, selective forwarding attacks cannot be easily detected in networks. In this paper, we propose an approach to selective forwarding detection (SFD). The approach has three layers: MAC pool IDs, rule-based processing, and anomaly detection. It maintains the safety of data transmission between a source node and base station while detecting selective forwarding attacks. Furthermore, the approach is reliable, energy efficient, and scalable. View Full-Text
Keywords: wireless sensor networks; selective forwarding attacks wireless sensor networks; selective forwarding attacks
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Alajmi, N.; Elleithy, K. Multi-Layer Approach for the Detection of Selective Forwarding Attacks. Sensors 2015, 15, 29332-29345.

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