A Performance Analysis of IEEE 802.11 Networks in the Presence of Hidden Stations
PWC '00 Proceedings of the IFIP TC6/WG6.8 Working Conference on Personal Wireless Communications
MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs
Proceedings of the 4th international conference on Mobile systems, applications and services
An experimental study on the capture effect in 802.11a networks
Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
An IEEE 802.11 EDCA model with support for analysing networks with misbehaving nodes
EURASIP Journal on Wireless Communications and Networking
Anomaly-Based intrusion detection algorithms for wireless networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
MAC layer misbehavior in wireless networks: challenges and solutions
IEEE Wireless Communications
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In Wi-Fi networks, transmission (TX) power levels are constrained by regulatory limits. However, the emergence of flexible MAC drivers allows the easy modification of PHY and MAC layer parameters. This has enabled users to attempt to violate these limits. Such actions, which we refer to as TX power misbehaviour, allow users to achieve higher throughput due to the capture effect. Detecting this type of misbehaviour is challenging because of the inability to directly measure the TX power of a user's device. Therefore, in this paper, we propose detection methods for (a) determining if the TX power violates regulatory limits and (b) estimating the TX power value. Separate methods are proposed for single and multi-rate modes of operation. Simulation results verify that the proposed methods may be successfully used to detect TX power misbehaviour. Therefore, they can be implemented in a general misbehaviour detection and reaction architecture, also presented in this paper.