ECAS: an efficient and conditional privacy preserving collision warning system in fog-based vehicular ad hoc networks

Qin, Zhiguang; Li, Yuedi; Ye, Xin; Zhou, Jin; Cao, Minsheng; Chen, Dajiang

doi:10.1007/s42045-020-00041-y

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…In their protocol, bilinear pairing operations and MapToPoint hash operation are required, therefore, it will lead to high computation cost. And Qin et al [23] pointed out that their protocol did not provide the unlinkability between the TVRs.…”

Section: A Authentication Schemes For Fog-based Vehicular Networkmentioning

confidence: 99%

LBVP: A Lightweight Batch Verification Protocol for Fog-Based Vehicular Networks Using Self-Certified Public Key Cryptography

Zhang

Zhong

Cui

et al. 2022

IEEE Trans. Veh. Technol.

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To achieve efficient vehicular network communication and service, researchers proposed fog-based vehicular networks (FVNs). One of the prerequisites for developing largescale FVNs is ensuring the security and privacy of the entire network environment. However, the existing schemes proposed for FVNs exist considerable calculation and communication costs and/or security vulnerabilities. Therefore, to promote efficient FVN authentication, we propose a lightweight security protocol using self-certified public key cryptography. In the protocol, the trusted authority does not need to participate in the authentication process between the vehicle and the fog node online. And the vehicle can dynamically update its login password and pseudonym, without performing complicated interactive steps with the trusted authority. In addition, our protocol supports batch verification, which significantly improves the system authentication efficiency. A detailed security analysis reveals that our protocol can meet the security requirements of vehicular networks while resisting the common types of attack. Calculation and communication overhead comparisons further prove that our protocol exhibits better performance than related schemes.

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Section: A Authentication Schemes For Fog-based Vehicular Networkmentioning

confidence: 99%

LBVP: A Lightweight Batch Verification Protocol for Fog-Based Vehicular Networks Using Self-Certified Public Key Cryptography

Zhang

Zhong

Cui

et al. 2022

IEEE Trans. Veh. Technol.

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A diversified context-based privacy-preserving scheme (DCP2S) for internet of vehicles

Alluhaidan

Khan

Halima

et al. 2023

Alexandria Engineering Journal

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Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study

2023

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The Internet of Things (IoT) is becoming a pervasive technology entangled in everyday life. The objective of IoT is to provide ubiquitous access to numerous devices and machines on service providers. However, IoT-based devices may expose a user to various privacy and security threats. Privacypreservation techniques focus on securing any type of data transfer between different parties. We aim to deliver the current state of the art in terms of privacy-preservation techniques used for IoT devices that have been discussed in the literature. Therefore, we carried out a systematic identification of the privacy-preservation techniques for IoT devices that have been described in the cybersecurity domain.To do so, we followed rigorous guidelines to define our research protocol to increase the repeatability and reliability of our results. A set of ten research questions was created to drive the analysis of our study. This research work comprehensively analyzes and discusses the privacy-preservation techniques for IoT devices published in five different academic venues . We identified 260 studies, mostly published between 2017 and 2021, that were systematically selected from an initial set of 1394 papers. The most active research areas in privacy-preservation techniques for IoT devices discuss cryptography techniques to improve the authentication process to access IoT devices. The majority of authors presented privacypreservation techniques for IoT that involved inventory privacy threats and discussed privacy interference attacks. We comprehensively analyze and discuss the trends, gaps, and possible future research directions of the privacy-preservation techniques used for IoT devices published in different academic venues.

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ECAS: an efficient and conditional privacy preserving collision warning system in fog-based vehicular ad hoc networks

Cited by 4 publications

References 35 publications

LBVP: A Lightweight Batch Verification Protocol for Fog-Based Vehicular Networks Using Self-Certified Public Key Cryptography

LBVP: A Lightweight Batch Verification Protocol for Fog-Based Vehicular Networks Using Self-Certified Public Key Cryptography

A diversified context-based privacy-preserving scheme (DCP2S) for internet of vehicles

Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study

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