Analysis of a signal strength based positioning system for commercial environments

Current Wi-Fi network infrastructure inherently lacks reliable positional knowledge of the origin of individual network packets. As a consequence, attackers are potentially able to impersonate legitimate Wi-Fi network nodes, including both clients and access points, by generating network traffic with all the characteristics of legitimate traffic. To exclusively discriminate illegitimate nodes, we propose a method of using multiple and multiple-angle measurements of a Wi-Fi network node's signal strength. In this paper we present a real time unsupervised analysis method for identifying duplicate Wi-Fi network nodes which are physically separate. We demonstrate that, given a dense sensor network, data from a small set of identifiable critical sensors are much more valuable in node discrimination than those from other sensors, enabling large improvement in responding speed and discrimination accuracy.

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Analysis of a signal strength based positioning system for commercial environments

Cited by 2 publications

References 5 publications

Error Modeling in RF-based Location Detection (EMLD) for Pervasive Computing Environments

Error Modeling in RF-based Location Detection (EMLD) for Pervasive Computing Environments

X-Mode: A Real Time Approach of Discriminating Wi-Fi Network Impersonators

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