A Secure Authentication Scheme for Remote Diagnosis and Maintenance in Internet of Vehicles

Ma, Ruhui; Cao, Jin; Feng, Dan; Li, Hui; Niu, Ben; Li, Fenghua; Liu, Yin

doi:10.1109/wcnc45663.2020.9120719

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…However, several schemes such as [25]- [28] ignore the values of t x and t r due to their negligible execution time. Furthermore, the Chebyshev chaotic map is widely utilized in the VANET domain as it is proved to be appropriate for computationally limited devices [13], [20], [27]- [29].…”

Section: G Fast Response In Emergency Conditionsmentioning

confidence: 99%

“…The main aim of this tool is to evaluate the security properties of the proposed protocol to show any detected attacks on the analyzed scheme. To perform this evaluation, the Scyther is chosen according to its free usage and high performance [13]. The Scyther can be considered as a widely accepted security verification tool in the academic field as it provides a reliable simulation environment to reveal various vulnerabilities of the protocol that can be misused by the attacker [30], [31].…”

Section: Formal Security Evaluation Using Scythermentioning

confidence: 99%

“…However, its computation capability is constrained by the use of two classes for upgrading keys. In [13], a secure authentication protocol using Chebyshev chaotic map for remote diagnosis services of a vehicle is outlined. Although the protocol provides a strong security to the vehicle's owner depending on the complex properties of the chaotic map, it mainly requires a password and biometric template in its process.…”

Section: Introductionmentioning

confidence: 99%

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Secure VANET Authentication Protocol (SVAP) Using Chebyshev Chaotic Maps for Emergency Conditions

2022

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It is crucial to support emergency applications provided by vehicular adhoc network (VANET) through enabling vehicles to quickly access to the infrastructure and consequently request rescue services. Additionally, the communication channels between vehicles and the infrastructure lack various security features due to the inferior wireless characteristics of their environment. However, most of the existing authentication schemes which are used to fix the security drawbacks lead to heavy computations and large storage burdens on the vehicle onboard unit (OBU). These schemes utilize secure channels while distributing the network parameters between the various participants. Yet, it is not efficient to establish secure channels during the interactions between entities. Furthermore, lightweight cryptography is an efficient security solution which is adequate for OBU to maintain a reasonable efficiency with low computational and communication costs. Two basic demerits for lightweight authentication protocols are highlighted as follows: Firstly, symmetric key-based authentication protocols dismiss achieving non-repudiation feature, leading to several security attacks in VANET. Secondly, public key-based authentication schemes are relied on elliptic curve cryptography (ECC) which makes the protocol implementation more difficult. Hence, this paper introduces a novel authentication protocol that utilizes Chebyshev chaotic maps to secure connectivity between the vehicles and infrastructure without using secure channels to distribute the network parameters. The new protocol combines the concept of the symmetric key cryptography with the public key signature to satisfy both the lightweight property and non-repudiation feature. Thus, this protocol introduces a novel network model which is the lowest hardware complexity, compared with others. The performance analysis is performed by Wolfram Mathematica, proving that the proposed protocol is superior in terms of security and performance aspects; its computation and storage costs of OBU are enhanced with 24.09% and 16.99%, respectively, compared to the most competing scheme. Besides, the Scyther simulation confirms the security of the protocol.

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Section: G Fast Response In Emergency Conditionsmentioning

confidence: 99%

Section: Formal Security Evaluation Using Scythermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secure VANET Authentication Protocol (SVAP) Using Chebyshev Chaotic Maps for Emergency Conditions

2022

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“…When n ∈ Γ(K 0 ), it is not difficult to show that the corresponding equation leads to m 0,n given by (7), whereas in the case where n ∈ Γ(K 0 ), we have to solve…”

Section: A Glrt For Uncorrelated Measurementsmentioning

confidence: 99%

“…The incoming fifth generation mobile communication network (5G) will be capable of guaranteeing new reliable services, high data rates, low latency, and support for largely heterogeneous devices [1]. Localization services, which in the past were mainly provided by non-cellular technologies (e.g., Global Navigation Satelline Systems and/or Global Positioning Systems) integrated within the cellular devices, are now conceived as first class citizens of the 5G architecture starting from Release 16 [2]-[4], and will play a crucial role in several scenarios envisioned for 5G, including self-driving cars, unmanned aerial vehicles, smart logistics, emergency services, and many more [5]- [7]. At the same time, the ability to exploit location signals emitted by 5G base stations comes with a bleak side: many literature works [8]- [20] show how Fig.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection Algorithms for Location Security in 5G Scenarios

Bartoletti¹,

Palamà²,

Orlando³

et al. 2021

Preprint

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Location based services are expected to play a major role in future generation cellular networks, starting from the incoming 5G systems. At the same time, localization technologies may be severely affected by attackers capable to deploy low cost fake base stations and use them to alter localization signals.In this paper, we concretely focus on two classes of threats: noise-like jammers, whose objective is to reduce the signal-tonoise ratio, and spoofing/meaconing attacks, whose objective is to inject false or erroneous information into the receiver. Then, we formulate the detection problems as binary hypothesis tests and solve them resorting to the generalized likelihood ratio test design procedure as well as the Latent Variable Models, which involves the expectation-maximization algorithm to estimate the unknown data distribution parameters. The proposed techniques can be applied to a large class of location data regardless the subsumed network architecture. The performance analysis is conducted over simulated data generated by using measurement models from the literature and highlights the effectiveness of the proposed approaches in detecting the aforementioned classes of attacks.

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A robust authentication scheme for remote diagnosis and maintenance in 5G V2N

Cao

Feng

et al. 2022

Journal of Network and Computer Applications

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A Secure Authentication Scheme for Remote Diagnosis and Maintenance in Internet of Vehicles

Cited by 7 publications

References 13 publications

Secure VANET Authentication Protocol (SVAP) Using Chebyshev Chaotic Maps for Emergency Conditions

Secure VANET Authentication Protocol (SVAP) Using Chebyshev Chaotic Maps for Emergency Conditions

Anomaly Detection Algorithms for Location Security in 5G Scenarios

A robust authentication scheme for remote diagnosis and maintenance in 5G V2N

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