Efficient Blockchain-Based Group Key Distribution for Secure Authentication in VANETs

Shawky, M Ahmed; Jabbar, Abdul; Usman, Muhammad; Imran, Muhammad Ali; Abbasi, Qammer H.; Ansari, Shuja; Taha, Ahmad

doi:10.1109/lnet.2023.3234491

Cited by 13 publications

(7 citation statements)

References 13 publications

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“…Based on proxy resignature cryptographic technology [61], the node requests the re-signature key and then re-signs the certificates issued by the TA. A Blockchain-based authentication and revocation solution is proposed in [62] [63] to allow RSUs to verify the identity of a vehicle. For each vehicle, a pseudo-ID is obtained from the certification authority and then stored with the certificate in an immutable authentication Blockchain The authors of [64] introduced architectures and protocols for authentication in vehicular networks as well as the corresponding performance analysis.…”

Section: Security Issues Of Vanetsmentioning

confidence: 99%

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

Alaya

Sellami

2023

IEEE Access

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The advent of Intelligent Transport Systems (ITS) has led to the appearance of vehicles increasingly connected to their environment on global road networks. Due to the strict requirements for low latency and secure interactions in a vehicular environment, the proposal of new architectures is a crucial topic for discussion. This paper aims to develop a vehicular network using several access technologies based on SDN (Software Defined Network) paradigm, to take advantage of the capacities of the various access networks and provide flexibility in their control and management. Confidentiality, integrity, and authentication are essential services to prevent an adversary from compromising the security of vehicular networks. Therefore, good security and privacy management system is necessary to ensure this protection. We represent then a hybrid SDN-VANET architecture that can address all of the challenges we mentioned earlier. We are in the process of implementing a dynamic approach to optimize the positioning of controllers according to changes in network topology due to fluctuations in road traffic. We will also detail the topology estimation service based on machine learning techniques to provide network control functions with potential insight into the future state of the network, unlocking proactive and intelligent network control. We also provide a scheme that prevents and informs about basic and compound attacks and reacts to the privacy and security conditions of the vehicular network, managing the requirements of security management systems. The simulation results showed the effectiveness of the proposed schemes in terms of message loss rates, packet delivery rates (PDR), Round Trip Time (RTT), and delays. With used our scheme, the performance of the network is improved when SDN triggers the change of the RSU entity. Such as, we notice that the average RTT is lowered by 68 ms and that the PDR remains around 94%. We also notice with the integration of the security and privacy scheme (SPS) that the performance of the network is improved, the average RTT is reduced by 51 ms and the PDR persists around 99%.

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Section: Security Issues Of Vanetsmentioning

confidence: 99%

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

Alaya

Sellami

2023

IEEE Access

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Section: Comparison Of Different Authentication Schemesmentioning

confidence: 99%

“…Compared with the single authentication or group authentication used in the literature [14,[27][28][29][30], this scheme uses mixed authentication, which combines single authentication with group authentication, uses group authentication to improve authentication efficiency, and adopts single authentication to find illegal nodes in the group (Table 6). At the same time, blockchain is introduced into the scheme to realize the decentralization of the authentication scheme and effectively solve the problem of a single point of failure.…”

Section: Comparison Of Different Authentication Schemesmentioning

confidence: 99%

Security Authentication Mechanism of Spatio-Temporal Big Data Based on Blockchain

et al. 2023

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Spatiotemporal big data are a kind of data that marks time information and geographic location and has been widely applied in various fields. However, there are always security issues with spatiotemporal big data, especially in data collection and authentication. Traditional authentication protocols are less efficient in the face of ultra-large-scale IoT (Internet of Things, IoT) device verification, and the threat of single-point failure is relatively large. Given these complications, a group authentication scheme is proposed in this paper with blockchain spatiotemporal big data. The decentralization of the blockchain is utilized to solve the single point of failure, and the single-point authentication is combined with the group authentication, the authentication efficiency is improved through the group authentication, and the illegal nodes are accurately identified using the single-point authentication. The simulation results demonstrate that using the MHT (Merkel Hash Tree, MHT) algorithm for group authentication can effectively improve the authentication efficiency of the entire system when the number of users exceeds 200. The time overhead is only 4 ms when the number of users is 16,000. It can have a large throughput (400–500 tps) and a low latency (1–2 s) at the same time when the block size is 1500 KB. This study not only verifies the legitimacy of each device and protects the security of spatiotemporal big data, but also significantly reinforces the authentication efficiency compared with similar schemes.

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“…On the other hand, sender A wants to send a message X to recipient B, and sign it. From here, A, B choose the secure communication scheme of their preference, in such a way that B decrypts it according to the chosen scheme, for example PKI [28]. However, to verify the authentication and integrity of the message, A signs it, according to the following procedure:…”

Section: Digital Signature Algorithm (Dsa)mentioning

confidence: 99%

Digital signature algorithm based on ElGamal, Diffie-Hellman protocol and the number π

Flores-Carapia,

Silva-García,

González-Ramírez

et al. 2023

Preprint

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This research proposes an algorithm to sign messages using the ElGamal asymmetric cryptosystem, called: Digital signature algorithm based on ElGamal, Diffie-Hellman protocol and the number π (DSAπ). This proposal has a high level of security like the DSA standard, in addition, execution times are reduced in relation to it. The Diffie-Hellman protocol and the number π were used in the construction of the digital signature algorithm in conjunction with the Hash-Sha-512 function. Some experiments are presented to provide evidence that the bits on the right side of the decimal point of π appear randomly, such as: a color image was constructed of a string of consecutive bits chosen at random, of the number π. Subsequently, parameters such as: entropy, correlation, discrete Fourier transform, goodness-of-fit test χ2 were evaluated. It is mentioned that an S-box 8×8 is involved in the signature. The sensitivity of the signature was measured, that is, when small changes are made to the sender’s private key, or small changes to the message. Finally, an image was constructed using the signatures of random texts, and subsequently the randomness of its pixels was obtained, to verify that there is no relationship between the different signatures.

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Efficient Blockchain-Based Group Key Distribution for Secure Authentication in VANETs

Cited by 13 publications

References 13 publications

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

Security Authentication Mechanism of Spatio-Temporal Big Data Based on Blockchain

Digital signature algorithm based on ElGamal, Diffie-Hellman protocol and the number π

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