Analyzing the Impact of Blockchain Models for Securing Intelligent Logistics through Unified Computational Techniques

Blockchain technology has revolutionized conventional trade. The success of blockchain can be attributed to its distributed ledger characteristic, which secures every record inside the ledger using cryptography rules, making it more reliable, secure, and tamper-proof. This is evident by the significant impact that the use of this technology has had on people connected to digital spaces in the present-day context. Furthermore, it has been proven that blockchain technology is evolving from new perspectives and that it provides an effective mechanism for the intelligent transportation system infrastructure. To realize the full potential of the accurate and efficacious use of blockchain in the transportation sector, it is essential to understand the most effective mechanisms of this technology and identify the most useful one. As a result, the present work offers a priority-based methodology that would be a useful reference for security experts in managing blockchain technology and its models. The study uses the hesitant fuzzy analytical hierarchy process for prioritizing the different blockchain models. Based on the findings of actual performance, alternative solution A1 which is Private Blockchain model has an extremely high level of security satisfaction. The accuracy of the results has been tested using the hesitant fuzzy technique for order of preference by similarity to the ideal solution procedure. The study also uses guidelines from security researchers working in this domain.