Efficient LBS queries with mutual privacy preservation in IoV

Public awareness on privacy stimulates many researches about privacy-preserving location based services (LBS) in terms of providing mutual privacy to both LBS and its users. However, the high latency of privacy preservation in LBS becomes a main obstacle for applying LBS to Internet of Vehicles (IoV). To solve this problem, we propose two privacy-preserving LBS query schemes (kNN and T-kNN) by taking the advance of fog computing and by applying oblivious transfer (OT) and ciphertext-policy attribute based encryption (CP-ABE). Given a query from a vehicle, both schemes return k nearest POIs as response, with the difference that T-kNN supports fine-grained type based POI queries. Based on our proposed oblivious key transfer and privacy-preserving secret key generation, both schemes preserve mutual privacy of both LBS provider and vehicles. Complexity analysis and empirical study show that our approach outperforms the other two state-of-the-art works.

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Fog computing, IoV, kNN query with type, LBS

DOI

10.1016/j.vehcom.2019.03.001

Citation

Liu, S, Liu, A, Yan, Z & Feng, W 2019, ' Efficient LBS queries with mutual privacy preservation in IoV ', Vehicular Communications, vol. 16, pp. 62-71 . https://doi.org/10.1016/j.vehcom.2019.03.001

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https://urn.fi/URN:NBN:fi:aalto-201905062868

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[article-cris] Sähkötekniikan korkeakoulu / ELEC

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Efficient LBS queries with mutual privacy preservation in IoV

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