Blockchain-Based Trust Management Framework Using Spiking Neural Networks for 6G-Enabled IoT Ecosystems: A Secure Approach for Intelligent Transportation Systems

Intelligent Transportation Systems (ITSs) are being rejuvenated by the emergence of the IoT ecosystems caused by 6G technology at the cost of the critical security, privacy and trust management issues. Existing models of trust are usually centralized or reputation-based, which are vulnerable to points of failure, they do not scale well and do not provide real-time adaptability and thus are not suited to large-scale dynamic 6G IoT systems. In order to deal with these issues, this paper suggests a blockchain-based trust management framework that combines the use of blockchain and Spiking Neural Networks (SNNs). The advantage of using blockchain is that it provides decentralized and secure storage and management of data and ensures integrity and confidentiality and dynamically assesses the reliability of IoT devices based on real-time behaviors and interactions. This is a two-layered solution that offers scalability, flexibility and strength to 6G-capable ITS. The effectiveness of the framework is confirmed by experimental results that indicate the improvement of the transaction processing, effective execution of the smart contracts, and agreeable block generation and block latency performance. Additionally, when the framework was evaluated using machine learning, the predictive accuracy was validated with a receiver operating characteristic area under the curve of 0.9827. These results show that blockchain with SNNs will provide a scalable and dependable approach to trust management to be used in next-generation ITS.