@inproceedings{f377acd591a94988b225f401302178ed,
title = "STAMP: Ad hoc spatial-temporal provenance assurance for mobile users",
abstract = "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-temporal 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. In contrast to most existing location proof systems which rely on infrastructure like wireless APs, STAMP is based on co-located mobile devices mutually generating location proofs for each other. This makes STAMP desirable for a wider range of applications. STAMP ensures the integrity and non-transferability of the location proofs and protects users' privacy. We also examine different collusion scenarios and propose a light-weight entropy-based trust evaluation approach to detect fake proofs resulting from collusion attacks. Our prototype implementation on the Android platform shows that STAMP is low-cost in terms of computational and storage resources. Extensive simulation experiments show that our entropy-based trust model is able to achieve high (> 0.9) collusion detection accuracy.",
author = "Xinlei Wang and Jindan Zhu and Amit Pande and Arun Raghuramu and Prasant Mohapatra and Tarek Abdelzaher and Raghu Ganti",
year = "2013",
month = jan,
day = "1",
doi = "10.1109/ICNP.2013.6733593",
language = "English (US)",
isbn = "9781479912704",
series = "Proceedings - International Conference on Network Protocols, ICNP",
publisher = "IEEE Computer Society",
booktitle = "Proceedings of the 2013 21st IEEE International Conference on Network Protocols, ICNP 2013",
note = "2013 21st IEEE International Conference on Network Protocols, ICNP 2013 ; Conference date: 07-10-2013 Through 10-10-2013",
}