A conceptual framework for efficient and secure blockchain-based trust and verification systems in distributed environments

Abstract

cloud computing environments and multi agent systems has presented huge difficulties in creating a trust system, verifying securely and largely being transparent amongst the heterogeneous entities. The traditional centralized methods continue to become unsuitable with their vulnerability to the single point of failure, breach of data and unimpeccable auditability. The decentralized and immutable nature of blockchain technology has become a promising solution, but the currently operational blockchain-based systems still present severe constraints which are associated with scalability, high computation cost, disturbing latency as well as absence of adaptive trust mechanism.The current paper suggests a set of new conceptual frameworks on the use of an efficient and secure blockchain-based trust and verification system adapted to the distributed environment. The model uses a hybrid design that combines on-chain and off-chain processing to make the performance efficient and do not compromise security. An active screening system of trust is presented to determine the trustworthiness of each of the participating nodes on the basis of transaction history, behavioral patterns as well as their success rate of validation. Also, it includes a featherweight hybrid consensus which is based on Proof of Stake (PoS) and Practical Byzantine Fault Tolerance (PBFT) to ensure that it uses less energy to execute and also enhance the speed of transactions verification.The framework also includes smart contracts to verify and control access and use of data array of cryptography methods to guarantee the integrity of data and authentication. The proposed model offers a practical and flexible solution to the current distributed system since it tackles major challenge related to the system, namely scalability, efficiency and security. The framework is applicable to various areas which have been showcased in the IoT networks, management of supply chains, data sharing in healthcare, and e-governance. Future research possibilities include incorporating the element of artificial intelligence in the adaptive trust and quantum-resistant cryptographic research.