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A Statistical Approach to Detect Jamming Attacks in Wireless Sensor Networks.

Opeyemi Osanaiye1, Attahiru S Alfa2,3, Gerhard P Hancke4

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Summary

This study introduces a new method to detect denial-of-service (DoS) jamming attacks in Wireless Sensor Networks (WSNs). The approach effectively identifies jamming events using statistical process control, ensuring network integrity.

Keywords:
exponentially weighted moving averageinter-arrival timejamming attackwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Security
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) are crucial for agriculture, environment, healthcare, and military applications.
  • WSN nodes are susceptible to security threats like jamming attacks due to unattended deployment and resource limitations.
  • Denial-of-Service (DoS) jamming attacks disrupt WSN functionality by emitting radio frequencies to block legitimate signals.

Purpose of the Study:

  • To propose a novel, efficient method for detecting DoS jamming attacks in WSNs.
  • To leverage statistical process control for identifying anomalous jamming activities.
  • To minimize overhead while maintaining high detection accuracy.

Main Methods:

  • A step-wise approach utilizing statistical process control techniques.
  • Implementation of an exponentially weighted moving average (EWMA) control chart.
  • Analysis of packet inter-arrival times as a key feature for attack detection.

Main Results:

  • The proposed EWMA method accurately detects jamming attacks in WSNs.
  • The detection process demonstrates efficiency with minimal to no performance overhead.
  • Trace-driven simulations validate the effectiveness of the jamming attack detection solution.

Conclusions:

  • The EWMA-based statistical process control offers a robust solution for WSN security against jamming attacks.
  • This method enhances the reliability and operational continuity of WSNs in critical applications.
  • The approach provides a practical and low-overhead means to safeguard WSNs from denial-of-service disruptions.