Association for Computing Machinery
The authors propose a new fingerprinting technique that differentiates between unique devices over a Wireless Local Area Network (WLAN) simply through the timing analysis of 802.11 probe request frames. Their technique can be applied to spoof detection, network reconnaissance, and implementation of access control against masquerading attacks. Experimental results indicate that their technique is consistent and accurate in differentiating between unique devices. In contrast with existing wireless fingerprinting techniques, their technique is passive, non-invasive and does not require the co-operation of fingerprintee hosts.