Anomaly-Based Intrusion Detection of Jamming Attacks, Local Versus Collaborative Detection

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Provided by: John Wiley & Sons
Topic: Security
Format: PDF
The authors present intrusion detection algorithms to detect physical layer jamming attacks in wireless networks. They compare the performance of local algorithms on the basis of the Signal-to-Interference-plus-Noise Ratio (SINR) executing independently at several monitors, with a collaborative detection algorithm that fuses the outputs provided by these algorithms. The local algorithms fall into two categories: simple threshold that raise an alarm if the output of the SINR-based metrics they consider deviates from a predefined detection threshold and cumulative sum (cusum) algorithms that raise an alarm if the aggregated output exceeds the predefined threshold. For collaborative detection, they use the Dempster - Shafer theory of evidence algorithm.
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