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2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom-BigDataSE) (2018)
New York, NY, USA
Aug 1, 2018 to Aug 3, 2018
ISSN: 2324-9013
ISBN: 978-1-5386-4388-4
pp: 596-607
ABSTRACT
The reliability of information in participatory sensing (PS) systems largely depends on the accuracy of the location of the participating users. However, existing PS applications are not able to efficiently validate the position of users in large-scale outdoor environments. In this paper, we present an efficient and scalable Location Validation System (LVS) to secure PS systems from location-spoofing attacks. In particular, the user location is verified with the help of mobile WiFi hot spots (MHSs), which are users activating the WiFi hotspot capability of their smartphones and accept connections from nearby users, thereby validating their position inside the sensing area. The system also comprises a novel verification technique called Chains of Sight, which tackles collusion-based attacks effectively. LVS also includes a reputation-based algorithm that rules out sensing reports of location-spoofing users. The feasibility and efficiency of the WiFi-based approach of LVS is demonstrated by a set of indoor and outdoor experiments conducted using off-the-shelf smartphones in Pisa, Italy, while the energy-efficiency of LVS is demonstrated by experiments using the Power Monitor energy tool. Finally, the security properties of LVS are analyzed by simulation experiments. Results indicate that the proposed LVS system is energy-efficient, applicable to most of the practical PS scenarios, and efficiently secures existing PS systems from location-spoofing attacks.
INDEX TERMS
energy conservation, indoor radio, mobility management (mobile radio), smart phones, telecommunication power management, telecommunication security, wireless LAN
CITATION

A. Saracino, F. Restuccia and F. Martinelli, "Practical Location Validation in Participatory Sensing Through Mobile WiFi Hotspots," 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom-BigDataSE), New York, NY, USA, 2018, pp. 596-607.
doi:10.1109/TrustCom/BigDataSE.2018.00090
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