PROJECT TITLE :

Device Fingerprinting in Wireless Networks: Challenges and Opportunities

ABSTRACT:

Node forgery or impersonation, in which legitimate cryptographic credentials are captured by an adversary, constitutes one major security threat facing wireless networks. The fact that mobile devices are at risk of be compromised and reverse engineered significantly will increase the risk of such attacks in that adversaries can obtain secret keys on trusted nodes and impersonate the legitimate node. One promising approach toward thwarting these attacks is through the extraction of unique fingerprints which will give a reliable and sturdy means that for device identification. These fingerprints can be extracted from transmitted signal by analyzing data across the protocol stack. In this paper, the primary unified and comprehensive tutorial in the area of wireless device fingerprinting for security applications is presented. In particular, we have a tendency to aim to supply a close treatment on developing novel wireless security solutions using device fingerprinting techniques. The objectives are 3-fold: (i) to introduce a comprehensive taxonomy of wireless options that can be employed in fingerprinting, (ii) to provide a scientific review on fingerprint algorithms together with each white-list based and Unsupervised Learning approaches, and (iii) to identify key open analysis problems in the world of device fingerprinting and have extraction, as applied to wireless security.