A Security and Privacy Preserved Intelligent Vehicle Navigation System

Baruah, Barnana; Dhal, Subhasish

doi:10.1109/tdsc.2022.3145649

Cited by 10 publications

(10 citation statements)

References 28 publications

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“…From TABLE 6 we can see that the overhead of NSP in [25] is related with the value of m and n . And the overhead of NSP in our proposed system is significantly less than that in [27]. The overhead of RSU in our proposed system is significantly less than that in [25] [27].…”

Section:  Navigation Service Provision Phasementioning

confidence: 83%

“…The overhead comparison of this phase is shown in TABLE 6, and the results have been rounded to three decimal places. From TABLE 4 we can see that the computation overhead of TA in our proposed system is larger than that in [25] [27]. But System Initialization phase is only performed once by TA during the whole process of system running.…”

Section:  Navigation Service Provision Phasementioning

confidence: 94%

“…From TABLE 5 we can get that the overhead of TA is related with the value of m and n . And the overhead of OBU in our proposed system is also larger than that in [25] [27]. Similarly, the Registration phase is also performed once during the whole process of system running.…”

Section:  Navigation Service Provision Phasementioning

confidence: 97%

“…Baruah et al [27] recently put forward a security and privacy preserved vehicle navigation system, aiming to retrieve the navigation result to guide the vehicle users through the optimal routes towards their destination. Different with other systems, their proposed navigation system does not disclose the destination information not only to the outside attackers but also to RSUs and trusted authority.…”

Section: Related Workmentioning

confidence: 99%

“…Definition 1. Elliptic curve discrete logarithm problem (ECDLP) [28] Property [4] 2018 [5] 2018 [23] 2018 [24] 2019 [25] 2020 [26] 2021 [27] 2022…”

Section: Elliptic Curve Cryptography (Ecc)mentioning

confidence: 99%

See 4 more Smart Citations

Dual Privacy-Preserving Lightweight Navigation System for Vehicular Networks

Yao

Chang

Liu

et al. 2022

Preprint

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As an indispensable part of intelligent transportation system, a traffic-sensitive navigation system can assist drivers in avoiding traffic congestion by providing navigation services. The navigation service provider (NSP) utilizes road condition information from nearby vehicles collected by roadside units (RSUs) to guide a vehicle through an optimal route provided by the navigation services. This paper mainly focuses on tackling three key issues in such navigation system. Firstly, it is essential to ensure the privacy of the vehicles’ personal identifiable information (PII). Secondly, the location, start point destination and route of the vehicle should not be leaked to RSUs and also should not be linked to its PII by RSUs and NSP. Thirdly, the process of vehicles obtaining the navigation services should be lightweight. Because of such problems, this paper proposes a dual privacy-preserving lightweight navigation system for vehicular networks through designing a novel signature scheme and combining other cryptographic primitives to keep dual privacy including PII and route related information. And the correctness analysis of the proposed system, security proof of the designed signature scheme adopted in the proposed system, and privacy analysis of the system are thoroughly provided. In addition, the performance of the proposed system is evaluated and compared with the existing systems to illustrate that the proposed system is more efficient than the existing systems.

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