Iran University of Science and Technology (IUST), Center for ELearning, Tehran, Iran
Iran University of Science and Technology (IUST), School of Computer Engineering, Tehran , Iran
Islamic Azad University (IAU) , Science and Research Branch, Department of Computer Engineering, Tehran, Iran
Intrusion detection in wireless networks has been a challenging research problem in network security for more than half a century. This paper presents a novel intrusion detection method based on Received Signal Strength Acceptance Test (RSSAT) to improve the IDS capabilities in anomaly-based Host-based Intrusion Detection Systems (HIDS). The new system can identify suspicious behaviors detecting anomalies in the received signal strength from the access points. Several scenarios are implemented in Omnet++ environment to evaluate the performance of the proposed scheme. A test criterion is used to improve accuracy in detecting forged signal powers and at the same time to reduce number of the false positives i.e. number of false attack alerts resulted from the legitimate signal powers.