An efficient authentication scheme with strong privacy preservation for fog-assisted vehicular ad hoc networks based on blockchain and neuro-fuzzy

Ogundoyin, Sunday Oyinlola; Kamil, Ismaila Adeniyi

doi:10.1016/j.vehcom.2021.100384

Cited by 11 publications

(9 citation statements)

References 62 publications

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“…Eftekhari et al [32], Ogundoyin and kamil [33], and Peixoto et al [34] have developed a fog computing-based data clustering framework for traffic information reduction at the edge of vehicular networks. Rao and Ram [35] have improved the time synchronization and freshness plan for Kerberos 5 authentication using symmetric encryption keys in a client-server scenario.…”

Section: Related Workmentioning

confidence: 99%

A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications

et al. 2022

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Healthcare application is one of the most promising developments to provide on-time demand services to the end users, vehicles, and other Road Side Units (RSUs) in the urban environment. In recent years, several application interfaces have been developed to connect, communicate, and share the required services from one source to another. However, the urban environment holds a complex entity of both homogenous and heterogeneous devices to which the communication/sensing range between the devices leads to connectivity breakage, lack of needed service in time, and other environmental constraints. Also, security plays a vital role in allowing everyone in the urban area to access/request services according to their needs. Again, this leads to a massive breakthrough in providing reliable service to authentic users or a catastrophic failure of service denial involving unauthorized user access. This paper proposes a novel topological architecture, Secure Authentication Relay-based Urban Network (S-ARUN), designed for healthcare and other smart city applications for registered transportation stakeholders. The registered stakeholders hold a built-in data security framework with three subsystems connected to the S-ARUN topology: (1) authentication subsystem: the stakeholder must identify themselves to the source responder as part of the authentication subsystem before transmitting the actual data service request; (2) connectivity subsystem: to periodically check the connection state of stakeholders as they travel along with the road pattern; and (3) service subsystem: each source responder will keep a separate queue for collecting data service requests, processing them quickly, and sending the results to the appropriate stakeholder. The Kerberos authentication method is used in working with S-ARUN's model to connect the stakeholders securely and legitimately. The performance of the proposed S-ARUN is assessed, and the performance metric toward key generation and other data security-related metrics is tested with existing schemes.

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Section: Related Workmentioning

confidence: 99%

A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications

et al. 2022

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“…However, in the event of malicious attacks, the PBFT rejects some of the information based on the reputation of the nodes, thereby reducing the computational overhead. Similarly, in [33], the neuro-fuzzy machine learning method has been used to detect and filter out false requests, thereby decreasing the overall size of the blockchain. A lightweight trust evaluation scheme has been proposed in [34] to identify the malicious nodes, and it is observed that the scheme's performance matches that without any attackers.…”

Section: Efficient Trust Evaluationmentioning

confidence: 99%

Challenges and Solutions for Vehicular Ad-Hoc Networks Based on Lightweight Blockchains

Bowlin,

Khan,

Bajracharya

et al. 2023

Vehicles

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Current research with Vehicular Ad-hoc Networks (VANETs) has focused on adapting an efficient consensus mechanism and reducing the blockchain size while maintaining security. Care must be taken when implementing blockchains within VANET applications to leverage the chains’ strengths while mitigating their weaknesses. These chains can serve as distributed ledgers that provide storage for more than financial transactions. The security provided by longer blockchains constitutes a nearly immutable, decentralized data structure that can store any data relevant to the applications. However, these chains must be adapted to the ad-hoc, resource-constrained environments found in VANETs. In the absence of abundant resources and reliable network connections, chain operation and maintenance must address the challenges presented by highly mobile nodes in novel ways, including situations such as emergency messaging that require real-time responses. Researchers have included different mechanisms to realize lightweight blockchains, such as adding reputation to existing consensus mechanisms, condensing the consensus committees, using geographical information, and monitoring a nodes behavior in attempts to adapt blockchains to these domains. This paper analyzes the challenges and gives solutions for these different mechanisms to realize lightweight blockchains for VANETs.

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“…In this research work [79], the authors proposed a lightweight and privacy-preserving authentication scheme without a certifcate in VANET with the help of Fog using blockchain technology and fuzzy neural machine learning technique. An authentication scheme using certifcate-less signatures based on elliptic curve cryptography (ECC) and hash functions has been developed.…”

Section: Fog-assisted Network Based On Blockchain and Neuro-fuzzymentioning

confidence: 99%

Investigation of Different Mechanisms to Detect Misbehaving Nodes in Vehicle Ad-Hoc Networks (VANETs)

Nobahari,

Bakhshayeshi Avval,

Akhbari

et al. 2023

Security and Communication Networks

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The vehicle ad-hoc network (VANET) is a crucial technology that will play a significant role in shaping the future of transition systems, which is widely used as a subset of ad-hoc networks. VANET aims to ensure driver safety by establishing independent communication with nearby vehicles. A key requirement for successful data transmission is cooperation among nodes, as factors such as high mobility, limited radio range, signal fading, and noise lead to packet loss. Security issues in vehicle ad-hoc networks have recently become a major concern. One factor that affects security is the presence of abusive nodes in the network. Like selfish nodes, they are reluctant to share their sources with their neighbors and try to keep their property. The misbehavior of malicious nodes includes dissemination of false traffic information, false location information, and redirection of packets to a wrong path, retransmission of packets, impersonation, so these nodes should be tracked down to ensure the operation of the network. This article provides a complete summary of various research works proposed to detect selfish and malicious nodes and isolate them from honest vehicles. This review article first describes the types of attacks. It then presents the methods proposed by researchers to deal with uncooperative nodes and compares their performance based on parameters such as the number of misbehaving nodes detected, overhead, throughput, layer involved in the attacks.

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An efficient authentication scheme with strong privacy preservation for fog-assisted vehicular ad hoc networks based on blockchain and neuro-fuzzy

Cited by 11 publications

References 62 publications

A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications

A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications

Challenges and Solutions for Vehicular Ad-Hoc Networks Based on Lightweight Blockchains

Investigation of Different Mechanisms to Detect Misbehaving Nodes in Vehicle Ad-Hoc Networks (VANETs)

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