The proliferation of wireless networks has been remarkable during the last decade. The license-free nature of the\r\nISM band along with the rapid proliferation of the Wi-Fi-enabled devices, especially the smart phones, has\r\nsubstantially increased the demand for broadband wireless access. However, due to their open nature, wireless\r\nnetworks are susceptible to a number of attacks. In this work, we present anomaly-based intrusion detection\r\nalgorithms for the detection of three types of attacks: (i) attacks performed on the same channel legitimate clients\r\nuse for communication, (ii) attacks on neighbouring channels, and (iii) severe attacks that completely block\r\nnetwork�s operation. Our detection algorithms are based on the cumulative sum change-point technique and they\r\nexecute on a real lightweight prototype based on a limited resource mini-ITX node. The performance evaluation\r\nshows that even with limited hardware resources, the prototype can detect attacks with high detection rates and a\r\nfew false alarms.
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