A theoretical analysis of wireless localisation scamming attacks using silence mechanism Online publication date: Wed, 12-Apr-2017
by R. Jagatheeswari; C. Bilcah Boby; Chella Perumal Maheswaran
International Journal of Enterprise Network Management (IJENM), Vol. 8, No. 1, 2017
Abstract: Wireless networks are prone to scamming attacks that acts as a gateway for many other attacks on the networks. The cryptographic authentication is used to identify the nodes but it is always not possible because of the overhead requirements. In this paper, we proposed a method for both detecting scamming attacks, as well as locating the positions of adversaries performing the attacks. We propose to use the spatial correlation of received signal strength (RSS) to detect the scamming attacks and support vector machines (SVMs) to improve the accuracy of number of attackers. We evaluated our techniques through two networks as standard 802.11 (Wi-Fi) and 802.15.4 (Zig Bee) networks. Our experiment shows that the proposed method has 90% hit rate and precision in determining the number of attackers. Our localisation results using a representative set of algorithms provide strong evidence of high accuracy of localising multiple adversaries.
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