A survey on authentication schemes in VANETs for secured communication

Manvi, Sunilkumar S.; Tangade, Shrikant S.

doi:10.1016/j.vehcom.2017.02.001

Cited by 223 publications

(118 citation statements)

References 27 publications

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“…In short, all messages broadcasted in each region should pass through corresponding LTA for verification process. In addition, Ref [7] categorised authentication schemes in VANET and analyzed properties of the conventional schemes. The schemes are classified depending on the approaches such as cryptography, sign and verification.…”

Section: Related Workmentioning

confidence: 99%

Distributed Blockchain-Based Message Authentication Scheme for Connected Vehicles

2020

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Vehicular ad-hoc networks (VANETs) have several security issues such as privacy preservation, secure authentication, and system reliability. In the VANET, a vehicle communicates with other vehicles or infrastructures using broadcasting messages. These messages contain not only normal traffic information, but also identification information of sender. In general, the identification information remains encrypted to ensure privacy. However, the conventional centralized system can decrypt the identification information using private information of the sender vehicle. As a result, the central server can often be targeted by adversaries. We propose a message authentication scheme for anonymity and decentralization of information using blockchain technology. Here, we introduce public-private key and message authentication code (MAC) for secure authentication. In this paper, we adopt consensus algorithms for composing blockchain system such as the proof of work (PoW) and Practical Byzantine Fault Tolerance (PBFT) into the proposed authentication process. Finally, we demonstrate that the proposed method is secure from the attacks which include impersonation from internal attacker as well as typical attacks.

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Section: Related Workmentioning

confidence: 99%

Distributed Blockchain-Based Message Authentication Scheme for Connected Vehicles

2020

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“…However, in various applications of the future vehicle connected networks, users are extremely sensitive to delay requirements. For applications such as collision warning and departure warning, if the task is migrated to the base station, the task migration method in which the base station performs the task and then returns the results will inevitably increase the network delay [23]. Although a hybrid communication solution that combines V2V and V2I functionality will inherently provide the most efficient and powerful solution, purely infrastructure-based communication will not limit the application level of data distribution and processing to a specific centralized architecture.…”

Section: Related Workmentioning

confidence: 99%

Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing

Ran

Bai

2020

Sensors

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In this paper, we propose an optimization framework of vehicular fog computing and a cooperation vehicular network model. We aim to improve the performance of vehicular fog computing and solve the problem that the data of the vehicle collaborative network is difficult to obtain. This paper applies the hypergraph theory to study the underlying structure, considering the social characteristics of the vehicles and vehicle communication. Since the vehicles join the network in accordance with the Poisson process law, the model is analyzed by using Poisson stochastic process and mean field theory. This paper uses MATLAB to simulate the evolution process of cooperative networks. The results show that the vehicle's super-degree in vehicular fog computing has scale-free characteristics. Through this model, the vehicle cooperation situation can be analyzed, and the vehicle dynamics can be accurately predicted to further improve the performance of vehicular fog computing. The model can be transformed into some complex network models by adjusting the parameters. It has strong universality and has certain reference significance for the research on the related characteristics of VANETs and the theoretical research of the cooperative network.2 of 17 to higher network delays. For vehicles that are using autonomous driving in the Internet of Vehicles, high latency is likely to cause serious traffic accidents. Cellular network can provide limited enhanced communication, mainly controlled by network operators, which is inefficient from the application point of view [8]. Mobile cloud computing can bring rich computing resources to mobile users [9], but it is costly and time consuming to upload real-time information [10].Fog computing can effectively solve the above problems, by deploying a fog server with storage and computing near the user to receive and process user data [11]. The deployment location of the fog server is closer to the user, which can save a lot of data transmission time. The deployment of fog computing nodes in the connected vehicle network has become a popular trend in the research of VANETs. We finally proposed a novel concept of vehicular fog computing (VFC), which uses vehicles as infrastructure to make full use of vehicular communication and computing resources. Specifically, VFC is an architecture that has cloud-based features and provides data, computing, storage and application services to end users. VFC is also differentiated from other existing technologies by being close to end users, and having dense geographical distribution and support for mobility; its bottom layer consists of cooperative vehicles, so that the vehicle is both a fog computing provider and a vehicular fog computing user. It can use computing resources nearby and reduce the use of communication resources. In the fog computing architecture, vehicles and mobile devices are end users, and there is a fog server layer between these edge users and the cloud. The low-level equipment of vehicular fog computing vehicles has high-speed moving ch...

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“… Message spoofing: the attacker sends bogus messages in order to disseminate fake information and to deceive other vehicles decisions (Ahmed & Elhadef, ). Message replay attack: The attacker injects back the received packet into the network in order to poison the location table. Impersonation attack: A malicious vehicle pretends to be another vehicle by using wrong identity (Manvi & Tangade, ). Movement tracking: Allow peer vehicles, service providers, authentication servers, and other infrastructure to track a given vehicle (Kang, Lin, Jiang, & Bertino, ). Sybil attack: a malicious vehicle sends wrong numerous messages to other vehicles with different fabricated identities. Hence, legitimate vehicles think they are dealing with different vehicles whereas it is only one vehicle. Cheating with position info: falsifying its own position allows the malicious node to create additional identifiers or blocking other vehicles from receiving important messages (Al Junaid et al, ). ID disclosure: a node in the network discloses the identity of neighbors, tracks the current location of a target node, and uses this data for a range of purposes (La & Cavalli, ). Usurpation of the identity of a node: a malicious node spoofs the identity of another node. …”

Section: Vanets Security Challengesmentioning

confidence: 99%

VANET security and forensics: Challenges and opportunities

Abassi

2019

WIREs Forensic Science

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Vehicular Ad hoc NETworks (VANETs) are a key part of the Intelligent Transport Systems (ITS) as they constitute an intelligent transport network where vehicles and some infrastructure collaborate to exchange messages about traffic, accidents, etc. In such context, security becomes a key component to ensure that exchanged messages were not modified or inserted for example. Consequently, a wide variety of research contributions have been recently presented to cope with this issue. This paper presents a review of most recent papers dealing with security issues in VANETs. Hence, it presents an overview of VANETs and mainly their characteristics as well as their main applications. Then, the main security challenges faced by VANETs are introduced. This is done by first listing their main security requirements, second by establishing attackers' profiles, and their attacks and third by introducing some security solutions. Finally, the opportunities and challenges related to VANETs security are presented such as Trust, Internet of Vehicle, etc.

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A survey on authentication schemes in VANETs for secured communication

Cited by 223 publications

References 27 publications

Distributed Blockchain-Based Message Authentication Scheme for Connected Vehicles

Distributed Blockchain-Based Message Authentication Scheme for Connected Vehicles

Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing

VANET security and forensics: Challenges and opportunities

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