Blockchain-Based System for Secure Data Sharing in Cloud Using Machine Learning: Current Researches and Challenges

The adoption of blockchain is accelerating globally. Cloud computing and secure data sharing have emerged as new technologies, owing to current advances in machine learning. Conventional machine learning algorithms need the collection and processing of training information on centralized systems. With the introduction of new decentralized machine learning algorithms and cloud computing (CC), Machine Learning (ML) on-device is now a reality. IoT gadgets may outsource training from cloud computing services to incorporate Artificial Intelligence (AI). Furthermore, these distributed edge frameworks bring additional issues, including data confidentiality and information safety. To overcome these challenges, blockchain has been proposed as a viable alternative. Blockchain, as a distrusted framework has evolved as a revolutionary innovation due to its decentralized, accessible, and secured structure. This system also includes trustworthy automatic scripting and static information recordings. The complexity of blockchain technology and the level of skill needed to work with it is one of its drawbacks. This issue can be successfully resolved by using Machine Learning (ML) frameworks. It can increase the user-friendliness of Blockchain. The existing blockchain-based cloud computing, machine learning, and secure data sharing are summarizedin this research study.