A statistical approach to detect jamming attacks in wireless sensor networks

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dc.contributor.author Osanaiye, Opeyemi
dc.contributor.author Alfa, Attahiru Sule
dc.contributor.author Hancke, Gerhard P.
dc.date.accessioned 2019-07-04T13:04:06Z
dc.date.available 2019-07-04T13:04:06Z
dc.date.issued 2018-05-24
dc.description.abstract Wireless Sensor Networks (WSNs), in recent times, have become one of the most promising network solutions with a wide variety of applications in the areas of agriculture, environment, healthcare and the military. Notwithstanding these promising applications, sensor nodes in WSNs are vulnerable to different security attacks due to their deployment in hostile and unattended areas and their resource constraints. One of such attacks is the DoS jamming attack that interferes and disrupts the normal functions of sensor nodes in a WSN by emitting radio frequency signals to jam legitimate signals to cause a denial of service. In this work we propose a step-wise approach using a statistical process control technique to detect these attacks. We deploy an exponentially weighted moving average (EWMA) to detect anomalous changes in the intensity of a jamming attack event by using the packet inter-arrival feature of the received packets from the sensor nodes. Results obtained from a trace-driven simulation show that the proposed solution can efficiently and accurately detect jamming attacks in WSNs with little or no overhead. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian am2019 en_ZA
dc.description.sponsorship The Advanced Sensor Networks SARChI Chair program, co-hosted by University of Pretoria (UP) and Council for Scientific and Industrial Research (CSIR), through the National Research Foundation (NRF) of South Africa. en_ZA
dc.description.uri http://www.mdpi.com/journal/sensors en_ZA
dc.identifier.citation Osanaiye, O., Alfa, A.S. & Hancke, G.P. 2018, 'A statistical approach to detect jamming attacks in wireless sensor networks', Sensors, vol. 18, art. 1691, pp. 1-15. en_ZA
dc.identifier.issn 1424-8220 (onlne)
dc.identifier.other 10.3390/s18061691
dc.identifier.uri http://hdl.handle.net/2263/70371
dc.language.iso en en_ZA
dc.publisher MDPI Publishing en_ZA
dc.rights © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_ZA
dc.subject Jamming attack en_ZA
dc.subject Inter-arrival time en_ZA
dc.subject Wireless sensor network (WSN) en_ZA
dc.subject Exponentially weighted moving average (EWMA) en_ZA
dc.subject Sensor nodes en_ZA
dc.subject Trace driven simulation en_ZA
dc.subject Statistical approach en_ZA
dc.subject Resource constraint en_ZA
dc.subject Radiofrequency signals en_ZA
dc.subject Statistical process control en_ZA
dc.subject Military applications en_ZA
dc.subject Denial-of-service attack en_ZA
dc.title A statistical approach to detect jamming attacks in wireless sensor networks en_ZA
dc.type Article en_ZA


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