Location-based services are quickly becoming immensely popular. In addition to services based on users' current location, many potential services rely on users' location history, or their spatial provenance. Malicious users may lie about their spatial-temporal provenance without a carefully designed security system for users to prove their past locations. In this paper, we present the Spatial Temporal provenance Assurance with Mutual Proofs (STAMP) scheme. STAMP is designed for ad mobile users

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... enerating location proofs for each other in a distributed setting. However, it can easily accommodate trusted mobile users and wireless access points. STAMP ensures the integrity and non transferability of the location proofs and protects users' privacy. A semi-trusted Certification Authority is used to distribute cryptographic keys as well as guard users against collusion by a light entropy-based trust evaluation approach. Our prototype implementation on the android plat shows that STAMP is low-cost in terms of computational and storage resources. Extensive simulation experiments show that our entropy trust model is able to achieve high detection accuracy. The privacy preserving location proofs for mobile users can be demonstrated by our application called LOCATION PROOF. A Company which promotes green commuting and wellness may reward their employees who walk or bike to work. The company may encourage daily walking goals of some fixed number of miles. Employees need to prove their past commuting paths to the company along with time history. This helps the company in reducing the healthcare insurance rates and move towards @ IJTSRD |