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Title	Location Privacy-Preserving Of Vehicular Ad-Hoc Network In Smart Cities
ID_Doc	35514
Authors	Alkady Y.; Rizk R.
Year	2022
Published	Lecture Notes on Data Engineering and Communications Technologies, 113
DOI	http://dx.doi.org/10.1007/978-3-031-03918-8_44
Abstract	With rapid growth of technology involved in smart city networks, Nowadays, A navigation in Vehicular Ad-hoc Network (VANET) with the help of Location-Based Services (LBSs) is used to provide communications between nearby vehicles and between vehicles and fixed infrastructure on the roadside and to provide road safety, driving comfort, and infotainment. However, the privacy issues of using LBS in VANET are still challenging today. However, many LBSs run-on third-party cloud infrastructures. So, privacy is still in a huge problem. In this paper, an efficient LBS Query scheme called Privacy Preserving of Fully Homomorphic Encryption over Advanced Encryption Standard is proposed. In an encrypted manner, the LBSP’s data are outsourced to the cloud server and a registered user can get accurate LBS query results without revealing the information of location to the LBSP and cloud server provider. A real traffic scenario in Ismailia city, Egypt has been applied in the simulation. The results showed that the proposed scheme is better than the existing schemes in terms of response time, accuracy rate, and processing time. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Advanced Encryption Standard; Cloud computing; Fully Homomorphic Encryption; Location Based Service; Privacy Preserving; Vehicular Ad-hoc Network

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