A Statistical Approach to Detect Jamming Attacks in Wireless Sensor Networks

Sensors

Opeyemi Osanaiye¹  AttahiruS. Alfa¹  GerhardP. Hancke¹ 

[1] Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Lynnwood Road, Pretoria 0002, South Africa;

关键词: wireless sensor networks;    jamming attack;    exponentially weighted moving average;    inter-arrival time;   

DOI  :  10.3390/s18061691

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown