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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 |