MFSPV: A Multi-Factor Secured and Lightweight Privacy-Preserving Authentication Scheme for VANETs

Alfadhli, Saad Ali; Lu, Songfeng; Chen, Kai; Sebai, Meriem

doi:10.1109/access.2020.3014038

Cited by 50 publications

(26 citation statements)

References 64 publications

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“…Any such activity, however, will alter the behavior of the embedded PUF's and render it unusable. Furthermore, because the PUFs cannot be recreated, they are immune to cloning (Alfadhli et al, 2020), in contrast to (Hakeem et al, 2019) and the majority of the previous related works, which did not contemplate such an attack.…”

Section: Physical and Cloning Attackmentioning

confidence: 87%

“…The author claimed that the proposed scheme could address impersonation attacks and user tracking. Alfadhli et al (2020) proposed a lightweight multifactor authentication that employs Physical Unclonable Functions (PUF) and one-time dynamic pseudo-identities as an authentication factor. PUF puts as a second authentication factor in the scheme.…”

Section: Related Workmentioning

confidence: 99%

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Biometric Blockchain-based Multifactor Privacy Perserving Authentication Scheme for VANETs

Gumis

Money²,

Affandi³

et al. 2021

JITA

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To provide the most suitable or compatible scheme to work against various attack toward vehicular ad hoc networks (VANETs) is very challenging. Not only that the high authentication and communication overhead also became a problem for VANETs. Thus, in this paper we use multifactor authentication that could resist various attack toward VANETs. A biometric blockchain-based multifactor privacy-preserving authentication scheme for VANETs. This scheme is proposed by using a new robust pseudo-identity multifactor VANET scheme based on Physical Unclonable Functions (PUF) and biometric data of the vehicle’s authorized user. To calculate the computational cost and the authentication overhead, we compare three of our computational cost and authentication overhead below. From the complexity analysis this proposed scheme has a lower authentication overhead and offers better security level and a low computational cost can be achieved. From the perspective of future, we hope that the cost that involve in this scheme still can be reduce as we offer a high security level. Not only that, but we also hope that this scheme can be implemented practically.

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Section: Physical and Cloning Attackmentioning

confidence: 87%

Section: Related Workmentioning

confidence: 99%

Biometric Blockchain-based Multifactor Privacy Perserving Authentication Scheme for VANETs

Gumis

Money²,

Affandi³

et al. 2021

JITA

View full text Add to dashboard Cite

show abstract

“…Unfortunately, the system also suffers from primary session attacks, modification attacks, and high processing costs due to the bilinear pairing. Similarly, for VANETs that protect privacy, a lightweight multi-factor authentication and security solution was introduced ( Alfadhli et al, 2020a ). It operates as authentication variables, a mixture of physically unclonable (PUF) functions and one-time dynamic pseudo-identities.…”

Section: Related Workmentioning

confidence: 99%

A lightweight and secure online/offline cross-domain authentication scheme for VANET systems in Industrial IoT

Khalid

Hashim

Ahmad

et al. 2021

PeerJ Computer Science

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In heterogeneous wireless networks, the industrial Internet of Things (IIoT) is an essential contributor to increasing productivity and effectiveness. However, in various domains, such as industrial wireless scenarios, small cell domains, and vehicular ad hoc networks, an efficient and stable authentication algorithm is required (VANET). Specifically, IoT vehicles deal with vast amounts of data transmitted between VANET entities in different domains in such a large-scale environment. Also, crossing from one territory to another may have the connectivity services down for a while, leading to service interruption because it is pervasive in remote areas and places with multipath obstructions. Hence, it is vulnerable to specific attacks (e.g., replay attacks, modification attacks, man-in-the-middle attacks, and insider attacks), making the system inefficient. Also, high processing data increases the computation and communication cost, leading to an increased workload in the system. Thus, to solve the above issues, we propose an online/offline lightweight authentication scheme for the VANET cross-domain system in IIoT to improve the security and efficiency of the VANET. The proposed scheme utilizes an efficient AES-RSA algorithm to achieve integrity and confidentiality of the message. The offline joining is added to avoid remote network intrusions and the risk of network service interruptions. The proposed work includes two different significant goals to achieve first, then secure message on which the data is transmitted and efficiency in a cryptographic manner. The Burrows Abdi Needham (BAN logic) logic is used to prove that this scheme is mutually authenticated. The system’s security has been tested using the well-known AVISPA tool to evaluate and verify its security formally. The results show that the proposed scheme outperforms the ID-CPPA, AAAS, and HCDA schemes by 53%, 55%, and 47% respectively in terms of computation cost, and 65%, 83%, and 40% respectively in terms of communication cost.

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“…Alfadhli et al [14] proposed a light weighted multi factor verification and privacy preserving security solution for VANET. Additionally, it removes the heavyweight dependency on the scheme key through decentralizing the broad area of CA to local areas and attains strong controller of the domain key.…”

Section: Related Workmentioning

confidence: 99%

Privacy Preserving Partially Homomorphic Encryption with Optimal Key Generation Technique for VANETs

Palanisamy

2021

Preprint

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In recent days, vehicular ad hoc networks (VANETs) has gained significant interest in the field of intelligent transportation system (ITS) owing to the safety and preventive measures to the drivers and passengers. Regardless of the merits provided by VANET, it faces several issues, particularly with respect to security and privacy of users/messages. Because of the decentralized structure and dynamic topologies of VANET, it is hard to detect malicious or faulty nodes or users. With this motivation, this paper designs new privacy preserving partially homomorphic encryption with optimal key generation using improved grasshopper optimization algorithm (IGOA-PHE) technique in VANETs. The goal of the proposed IGOA-PHE technique aims to achieve privacy and security in VANET. The proposed IGOA-PHE technique involves two stage processes namely ElGamal public key cryptosystem (EGPKC) for PHE and IGOA based optimal key generation process. In order to improve the security of the EGPKC technique, the keys are optimally chosen using the IGOA. Besides, the IGOA is derived by incorporating the concepts of Gaussian mutation (GM) and Levy flights. The experimental analysis of the proposed IGOA-PHE technique is examined in a wide range of experiments. The resultant outcomes exhibited the maximum performance of the presented IGOA-PHE technique over the recent state of art methods.

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MFSPV: A Multi-Factor Secured and Lightweight Privacy-Preserving Authentication Scheme for VANETs

Cited by 50 publications

References 64 publications

Biometric Blockchain-based Multifactor Privacy Perserving Authentication Scheme for VANETs

Biometric Blockchain-based Multifactor Privacy Perserving Authentication Scheme for VANETs

A lightweight and secure online/offline cross-domain authentication scheme for VANET systems in Industrial IoT

Privacy Preserving Partially Homomorphic Encryption with Optimal Key Generation Technique for VANETs

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