Secure, Privacy Preserving and Verifiable Federating Learning using Blockchain for Internet of Vehicles

2021 ◽  
pp. 1-1
Author(s):  
Bimal Ghimire ◽  
Danda B. Rawat
Keyword(s):  
Privacy Preserving ◽  
Internet Of Vehicles

scholarly journals Privacy-Preserving Solutions in Blockchain-Enabled Internet of Vehicles

2021 ◽  
Vol 11 (21) ◽  
pp. 9792
Author(s):  
Konstantinos Kaltakis ◽  
Panagiota Polyzi ◽  
George Drosatos ◽  
Konstantinos Rantos
Keyword(s):  
Smart Grids ◽  
Vehicular Networks ◽  
Privacy Preserving ◽  
The Internet ◽  
Data Confidentiality ◽  
Internet Of Vehicles ◽  
Privacy Concerns ◽  
Blockchain Technology ◽  
Future Work ◽  
Critical Overview

Blockchain, a promising technology that has matured and nowadays is widely used in many fields, such as supply chain management, smart grids, agriculture and logistics, has also been proposed for the Internet of Vehicles (IoV) ecosystem to enhance the protection of the data that roadside units and vehicles exchange. Blockchain technology can inherently guarantee the availability, integrity and immutability of data stored in IoV, yet it cannot protect privacy and data confidentiality on its own. As such, solutions that utilise this technology have to consider the adoption of privacy-preserving schemes to address users’ privacy concerns. This paper provides a literature review of proposed solutions that provide different vehicular services using blockchain technology while preserving privacy. In this context, it analyses existing solutions’ main characteristics and properties to provide a comprehensive and critical overview and identifies their contribution in the field. Moreover, it provides suggestions to researchers for future work in the field of privacy-preserving blockchain-enabled solutions for vehicular networks.

On the Design of Conditional Privacy Preserving Batch Verification-Based Authentication Scheme for Internet of Vehicles Deployment

2020 ◽  
Vol 69 (5) ◽  
pp. 5535-5548 ◽  
Author(s):  
Anil Kumar Sutrala ◽  
Palak Bagga ◽  
Ashok Kumar Das ◽  
Neeraj Kumar ◽  
Joel J. P. C. Rodrigues ◽  
...  
Keyword(s):  
Privacy Preserving ◽  
Authentication Scheme ◽  
Batch Verification ◽  
Internet Of Vehicles

scholarly journals Location privacy preserving scheme based on dynamic pseudonym swap zone for Internet of Vehicles

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986550 ◽  
Author(s):  
Min Yang ◽  
Yong Feng ◽  
Xiaodong Fu ◽  
Qian Qian
Keyword(s):  
Location Privacy ◽  
Privacy Preserving ◽  
Communication Cost ◽  
Vehicle Dynamic ◽  
Internet Of Vehicles ◽  
On Demand ◽  
Vehicle Density ◽  
Simulation Results

In Internet of Vehicles, establishing swap zones in which vehicles can exchange pseudonyms is an effective method to enhance vehicles’ location privacy. In this article, we propose a new scheme based on dynamic pseudonym swap zone, to protect location privacy of vehicles. For each vehicle, dynamic pseudonym swap zone allows it dynamically to establish a temporary pseudonym swap zone on demand to exchange the pseudonym with another random vehicle in the just formed zone. This randomness of choosing the pseudonym exchanging vehicles prevents dynamic pseudonym swap zone from the secure risk that the information of exchanging participants exposes to their group manager in some existing works in which each pair of pseudonym exchanging participants is assigned by the manager. To avoid the high communication and computation overhead of frequently swapping pseudonyms, dynamic pseudonym swap zone adopts a combination of swap and update to achieve the unlinkability between new and previous pseudonyms. Moreover, dynamic pseudonym swap zone can self-adapt to the varying surroundings to reduce the communication cost of forming pseudonym swap zones in high vehicle density areas. The analysis and simulation results show that our proposed dynamic pseudonym swap zone is a high location privacy preserving, secure, auditable scheme.

scholarly journals PRIF: A Privacy-Preserving Interest-Based Forwarding Scheme for Social Internet of Vehicles

2018 ◽  
Vol 5 (4) ◽  
pp. 2457-2466 ◽  
Author(s):  
Liehuang Zhu ◽  
Chuan Zhang ◽  
Chang Xu ◽  
Xiaojiang Du ◽  
Rixin Xu ◽  
...  
Keyword(s):  
Privacy Preserving ◽  
Internet Of Vehicles

scholarly journals A Blockchain-Based Efficient, Secure and Anonymous Conditional Privacy-Preserving and Authentication Scheme for the Internet of Vehicles

2022 ◽  
Vol 12 (1) ◽  
pp. 476
Author(s):  
Kashif Naseer Qureshi ◽  
Luqman Shahzad ◽  
Abdelzahir Abdelmaboud ◽  
Taiseer Abdalla Elfadil Eisa ◽  
Bandar Alamri ◽  
...  
Keyword(s):  
Selection Process ◽  
Data Communication ◽  
Privacy Preserving ◽  
Consensus Algorithm ◽  
Security And Privacy ◽  
The Internet ◽  
Malicious Nodes ◽  
Internet Of Vehicles ◽  
Smart Vehicles ◽  
Authentication Mechanism

The rapid advancement in the area of the Internet of Vehicles (IoV) has provided numerous comforts to users due to its capability to support vehicles with wireless data communication. The exchange of information among vehicle nodes is critical due to the rapid and changing topologies, high mobility of nodes, and unpredictable network conditions. Finding a single trusted entity to store and distribute messages among vehicle nodes is also a challenging task. IoV is exposed to various security and privacy threats such as hijacking and unauthorized location tracking of smart vehicles. Traceability is an increasingly important aspect of vehicular communication to detect and penalize malicious nodes. Moreover, achieving both privacy and traceability can also be a challenging task. To address these challenges, this paper presents a blockchain-based efficient, secure, and anonymous conditional privacy-preserving and authentication mechanism for IoV networks. This solution is based on blockchain to allow vehicle nodes with mechanisms to become anonymous and take control of their data during the data communication and voting process. The proposed secure scheme provides conditional privacy to the users and the vehicles. To ensure anonymity, traceability, and unlinkability of data sharing among vehicles, we utilize Hyperledger Fabric to establish the blockchain. The proposed scheme fulfills the requirement to analyze different algorithms and schemes which are adopted for blockchain technology for a decentralized, secure, efficient, private, and traceable system. The proposed scheme examines and evaluates different consensus algorithms used in the blockchain and anonymization techniques to preserve privacy. This study also proposes a reputation-based voting system for Hyperledger Fabric to ensure a secure and reliable leader selection process in its consensus algorithm. The proposed scheme is evaluated with the existing state-of-the-art schemes and achieves better results.

A privacy-preserving sensory data sharing scheme in Internet of Vehicles

2019 ◽  
Vol 92 ◽  
pp. 644-655 ◽  
Author(s):  
Qinglei Kong ◽  
Rongxing Lu ◽  
Maode Ma ◽  
Haiyong Bao
Keyword(s):  
Data Sharing ◽  
Privacy Preserving ◽  
Internet Of Vehicles ◽  
Sensory Data ◽  
Sharing Scheme
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