Fusing Type -2 Neutrosophic in Decision-Making Methodology for Appreciation Blockchain Capabilities in Securing Environment of Vehicles Fog: Practice Realistic Scenarios

Abstract

Right now, Contemporary technologies have become imperative in many domains to achieve societal 
safety. As is practiced in transportation systems through merging information and communication 
technologies (ICTs) in transportation to be an intelligent sector. As well Internet of Vehicles (IoVs) for 
facilitating communication between vehicles for safe driving. Similarly, fog computing in Vehicular Ad 
Hoc Networking (VANET) contributes significantly to addressing timing and latency issues by enabling 
cloud services for nearby vehicles. Nonetheless, there are hazards of cyber-attacks on vehicles in VFN, 
which makes it uneasy to disclose personal information to unidentified fog devices. Consequently, an 
online criminal might target vehicles with counterfeit attacks. Herein, blockchain technology (BCT) is 
another technology of ICTs and is provided in this study as a handler for the problem of cyber-attacks. Due 
to BCT’s characteristics of permanent, or immutable, peer-to-peer, decentralized, and distributed ledger 
technology. Thereby, this study contributes to constructing an appraiser model for appraising BCT as the 
secured methodology in VFN. Multi-criteria decision-making (MCDM) techniques such as entropy and 
weighted sum method (WSM) have been harnessed in the appraising process motivated by the uncertainty 
theory of Type-2 neutrosophic sets (T2NSs). The appraiser model’s findings indicated that BCT 5(A5) was 
the optimal candidate based on its ranking. In contrast, BCT 4 (A4) is the worst one.

DOI: 10.5281/zenodo.11435878