Evaluation of security metrics in AIoT and blockchain-based supply chain by Neutrosophic decision-making method

Today, smart supply chains are one of the main and growing applications of evolving technologies such as the Internet of Things (IoT), artificial intelligence (AI), and blockchain, which bring many benefits. IoT and blockchain security is a subset of cybersecurity that protects against IoT-related threats. Therefore, the simultaneous combination of these technologies and the creation of a supply chain based on the artificial intelligence of things (AIoT) and blockchain, in addition to increasing the performance of activities in supply chain processes, can also bring many security challenges to this smart supply chain. Because the data collected by IoT devices and stored in the blockchain-based systems that manage them are much more sensitive than traditional network security strategies.Due to the importance of this issue, in this study, an attempt has been made to analyse these security indicators in the AIoT and blockchain-based intelligent supply chain using a combined decision-making method in a fuzzy neutrosophic environment. Understanding these security measures will definitely help to implement more secure and powerful smart supply chains. The results showed that customer privacy criteria have the highest priority. The following priorities are authentication, Security challenges based on infrastructure, and network integrity.