scholarly journals Towards 6G-enabled Internet of Vehicles: Security and Privacy

Author(s):  
D. P. Moya Osorio ◽  
I. Ahmad ◽  
J. D. Vega Sanchez ◽  
A. Gurtov ◽  
J. Scholliers ◽  
...  
Author(s):  
Mainak Adhikari ◽  
Ambigavathi Munusamy ◽  
Abhishek Hazra ◽  
Varun G Menon ◽  
Vijay Anavangot ◽  
...  

2021 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Benjamin Kwapong Osibo ◽  
Chengbo Zhang ◽  
Changsen Xia ◽  
Guanzhe Zhao ◽  
Zilong Jin

2020 ◽  
Vol 21 (3) ◽  
pp. 425-440 ◽  
Author(s):  
Sumit Kumar ◽  
Jaspreet Singh

The new age of the Internet of Things (IoT) is motivating the advancement of traditional Vehicular Ad-Hoc Networks (VANETs) into the Internet of Vehicles (IoV). This paper is an overview of smart and secure communications to reduce traffic congestion using IoT based VANETs, known as IoV networks. Studies and observations made in this paper suggest that the practice of combining IoT and VANET for a secure combination has rarely practiced. IoV uses real-time data communication between vehicles to everything (V2X) using wireless communication devices based on fog/edge computing; therefore, it has considered as an application of Cyber-physical systems (CPS). Various modes of V2X communication with their connecting technologies also discussed. This paper delivers a detailed introduction to the Internet of Vehicles (IoV) with current applications, discusses the architecture of IoV based on currently existing communication technologies and routing protocols, presenting different issues in detail, provides several open research challenges and the trade-off between security and privacy in the area of IoV has reviewed. From the analysis of previous work in the IoV network, we concluded the utilization of artificial intelligence and machine learning concept is a beneficial step toward the future of IoV model.


2022 ◽  
Vol 12 (1) ◽  
pp. 476
Author(s):  
Kashif Naseer Qureshi ◽  
Luqman Shahzad ◽  
Abdelzahir Abdelmaboud ◽  
Taiseer Abdalla Elfadil Eisa ◽  
Bandar Alamri ◽  
...  

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.


Author(s):  
Messaoud Babaghayou ◽  
Nabila Labraoui ◽  
Ado Adamou Abba Ari ◽  
Abdelhak Mourad Gueroui

The internet of vehicles (IoV) is getting a considerable amount of attention from different research parties. IoV aims at enhancing the driving experience with its wide range of applications varying from safety, road management to entertainment; however, some of such applications bring severe security and privacy issues; identity exposing, and location tracking are good examples. By enabling vehicles to send their statuses to themselves via beacon messages, this creates an environmental awareness for safety purposes but also exposes them to the aforementioned attacks. A lot of work has been done to mitigate the effect of such attacks but still does not provide a holistic solution. In this article, which is an extension to a prior work, the authors investigate the effects of changing the transmission range while sending beacons on the achieved level of location privacy based on two location privacy schemes: SLOW and CAPS. The authors use additional privacy metrics in addition to comparing the strategies in some well-known security attacks. The outcomes confirm the feasibility of using such a mechanism.


2021 ◽  
Vol 13 (19) ◽  
pp. 10891
Author(s):  
Insaf Ullah ◽  
Muhammad Asghar Khan ◽  
Mohammed H. Alsharif ◽  
Rosdiadee Nordin

Internet of Vehicles (IoV) is a specialized breed of Vehicular Ad-hoc Networks (VANETs) in which each entity of the system can be connected to the internet. In the provision of potentially vital services, IoV transmits a large amount of confidential data through networks, posing various security and privacy concerns. Moreover, the possibility of cyber-attacks is comparatively higher when data transmission takes place more frequently through various nodes of IoV systems. It is a serious concern for vehicle users, which can sometimes lead to life-threatening situations. The primary security issue in the provision of secure communication services for vehicles is to ensure the credibility of the transmitted message on an open wireless channel. Then, receiver anonymity is another important issue, i.e., only the sender knows the identities of the receivers. To guarantee these security requirements, in this research work, we propose an anonymous certificateless signcryption scheme for IoV on the basis of the Hyperelliptic Curve (HEC). The proposed scheme guarantees formal security analysis under the Random Oracle Model (ROM) for confidentiality, unforgeability, and receiver anonymity. The findings show that the proposed scheme promises better security and reduces the costs of computation and communication.


Author(s):  
Tanvi Garg ◽  
Navid Kagalwalla ◽  
Prathamesh Churi ◽  
Ambika Pawar ◽  
Sanjay Deshmukh

As an up-and-coming branch of the internet of things, internet of vehicles (IoV) is imagined to fill in as a fundamental information detecting and processing platform for astute transportation frameworks. Today, vehicles are progressively being associated with the internet of things which empower them to give pervasive access to data to drivers and travelers while moving. Be that as it may, as the quantity of associated vehicles continues expanding, new prerequisites, (for example, consistent, secure, vigorous, versatile data trade among vehicles, people, and side of the road frameworks) of vehicular systems are developing. Right now, the unique idea of vehicular specially appointed systems is being changed into another idea called the internet of vehicles (IoV). We talk about the issues faced in implementing a secure IoV architecture. We examine the various challenges in implementing security and privacy in IoV by reviewing past papers along with pointing out research gaps and possible future work and putting forth our on inferences relating to each paper.


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