Secure Knowledge Sharing in Intelligent Systems through Blockchain-Based Distributed Ledgers

Abstract

The rapid expansion of intelligent systems across domains such as healthcare, finance, transportation, and smart cities has significantly increased the need for reliable mechanisms for knowledge sharing. These systems rely on distributed data sources and collaborative learning processes to make accurate decisions. However, sharing knowledge across multiple systems introduces critical concerns related to trust, data integrity, privacy, and security. Traditional centralized architectures often fail to address these issues effectively due to single points of failure and limited transparency. Blockchain technology, with its decentralized architecture and immutable ledger structure, provides a promising solution for enabling secure knowledge exchange among intelligent systems operating in distributed environments. This research explores a blockchain-based distributed ledger framework designed to facilitate secure and trustworthy knowledge sharing among intelligent systems. The proposed architecture integrates blockchain mechanisms with machine learning-based intelligent systems to ensure tamper-resistant data exchange, traceability of knowledge contributions, and secure validation of shared information.