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The vulnerability of cellular networks to location-based attacks via uplink timing management commands has been studied since the advent of GSM. However, the introduction of heterogenous networks as the answer to increasing demand for data throughput has resulted in a new vulnerability to such attacks. In this work, we propose Cellular Synchronization Assisted Refinement (CeSAR), an entirely passive...
Inferring user equipment (UE) location in cellular networks via uplink timing management presents attractive possibilities in an increasingly mobile-connected world. Power constrained mobile devices with ever more common applications that rely on location-based services demand an alternate solution to positioning than a Global Navigation Satellite System (GNSS) and its derivatives. In this paper we...
Traditional approaches to pattern based positioning have proposed schemes specifically tailored for the area of interest in which they are employed. Many, when applied to a generic search environment, may not scale computationally due to either a very large tracking area, very fine granularity in the database, or both. Here, a novel framework for fingerprinting that utilizes a k-generation structure...
A novel scheme for mobile subscriber positioning is proposed based on the hidden-Markov model (HMM) and the cell-ID maximum-likelihood database correlation method also known as fingerprinting. Using a simulated channel environment, based on the Clearwire deployment of WiMAX base stations in San Jose, CA, we show that matching the right configuration of the model to the deployment environment can realize...
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