Efficient LBS queries with mutual privacy preservation in IoV

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Efficient LBS queries with mutual privacy preservation in IoV. / Liu, Shushu; Liu, An; Yan, Zheng; Feng, Wei.

julkaisussa: Vehicular Communications, Vuosikerta 16, 01.04.2019, s. 62-71.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Liu, Shushu ; Liu, An ; Yan, Zheng ; Feng, Wei. / Efficient LBS queries with mutual privacy preservation in IoV. Julkaisussa: Vehicular Communications. 2019 ; Vuosikerta 16. Sivut 62-71.

Bibtex - Lataa

@article{b0bb8eaacac14da2a671e2e04b4f4224,
title = "Efficient LBS queries with mutual privacy preservation in IoV",
abstract = "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.",
keywords = "Fog computing, IoV, kNN query with type, LBS",
author = "Shushu Liu and An Liu and Zheng Yan and Wei Feng",
year = "2019",
month = "4",
day = "1",
doi = "10.1016/j.vehcom.2019.03.001",
language = "English",
volume = "16",
pages = "62--71",
journal = "Vehicular Communications",
issn = "2214-2096",
publisher = "Elsevier BV",

}

RIS - Lataa

TY - JOUR

T1 - Efficient LBS queries with mutual privacy preservation in IoV

AU - Liu, Shushu

AU - Liu, An

AU - Yan, Zheng

AU - Feng, Wei

PY - 2019/4/1

Y1 - 2019/4/1

N2 - 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.

AB - 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.

KW - Fog computing

KW - IoV

KW - kNN query with type

KW - LBS

UR - http://www.scopus.com/inward/record.url?scp=85063404777&partnerID=8YFLogxK

U2 - 10.1016/j.vehcom.2019.03.001

DO - 10.1016/j.vehcom.2019.03.001

M3 - Article

VL - 16

SP - 62

EP - 71

JO - Vehicular Communications

JF - Vehicular Communications

SN - 2214-2096

ER -

ID: 32887137