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Sensors 2016, 16(1), 118; doi:10.3390/s16010118

Defence against Black Hole and Selective Forwarding Attacks for Medical WSNs in the IoT

Department of Electronic and Communication, University of Limerick, Limerick V94 T9PX, Ireland
This paper is an extended version of our paper published in Telecommunications. Medical WSN: Power, Routing and Selective Forwarding Defense. In Proceedings of the 2015 13th International Conference on Telecommunications (ConTEL), Graz, Austria, 13–15 July 2015.
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Author to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Received: 17 December 2015 / Revised: 13 January 2016 / Accepted: 14 January 2016 / Published: 19 January 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
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Abstract

Wireless sensor networks (WSNs) are being used to facilitate monitoring of patients in hospital and home environments. These systems consist of a variety of different components/sensors and many processes like clustering, routing, security, and self-organization. Routing is necessary for medical-based WSNs because it allows remote data delivery and it facilitates network scalability in large hospitals. However, routing entails several problems, mainly due to the open nature of wireless networks, and these need to be addressed. This paper looks at two of the problems that arise due to wireless routing between the nodes and access points of a medical WSN (for IoT use): black hole and selective forwarding (SF) attacks. A solution to the former can readily be provided through the use of cryptographic hashes, while the latter makes use of a neighbourhood watch and threshold-based analysis to detect and correct SF attacks. The scheme proposed here is capable of detecting a selective forwarding attack with over 96% accuracy and successfully identifying the malicious node with 83% accuracy. View Full-Text
Keywords: routing attacks; black hole; selective forwarding; sensor networks; medical WSN; IoT-Internet of Things routing attacks; black hole; selective forwarding; sensor networks; medical WSN; IoT-Internet of Things
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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MDPI and ACS Style

Mathur, A.; Newe, T.; Rao, M. Defence against Black Hole and Selective Forwarding Attacks for Medical WSNs in the IoT. Sensors 2016, 16, 118.

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