Anomaly-Based Intrusion Detection Algorithms for Wireless Networks

  title={Anomaly-Based Intrusion Detection Algorithms for Wireless Networks},
  author={Alexandros G. Fragkiadakis and Vasilios A. Siris and Nikos Petroulakis},
In this paper we present and evaluate anomaly-based intrusion detection algorithms for detecting physical layer jamming attacks in wireless networks, by seeking changes in the statistical characteristics of the signal-to-noise ratio (SNR). Two types of algorithms are investigated: simple threshold algorithms and algorithms based on the cumulative sum change point detection procedure. The algorithms consider SNR-based metrics, which include the average SNR, minimum SNR, and max-minus-min SNR… CONTINUE READING
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