Distributed Blockchain Technology Combined With Deep Learning for Big Data Security

This study presented a big data a security framework to address the current state of affairs in cloud-based big data privacy and security protection. Dig The safety and confidentiality of information in the cloud is achieved through the use of blockchain technology and a trusted data cloud centre, with the help of ideas like trusted authorization, intrusion detection, data categorization, as well as decentralised storage, as well as services like Amazon's Web Services log processing service, the Pair Hand authentication of users protocol, as well as the Hadoop data analysis framework. In this work, we implement system startup and user authentication, as well as decentralised and hierarchical data storage and secure user access. The primary contribution of this article is the integration of two cutting-edge tools, namely Blockchain and deep learning, for the protection of large datasets. The results of the experiments show that the system design can guarantee data safety and information access speed, which may serve as a useful reference for cloud security.