Empowering WCMS by Automatic Document Classification and Improved the Security Using AI and Blockchain Technology

Every day, the volume of information carried back and forth across the internet grows at a rate of around 2.3 quintillion bytes. This methodology uses artificial intelligence to arrange unstructured yet sensitive data. This prevents unauthorized third parties from accessing the information and ensures that data flows correctly so that the programmer may continue to function effectively. To accomplish this, cutting-edge access control technology, encryption, and block chain technology are used to protect sensitive data. An automatic classifier that will assist in the classification of both secret and non-confidential data has been implemented. To prevent unauthorized access to such sensitive documents, a solution that does not involve human interaction is required. In this work, Ethereum is used to transact data and store on smart contracts, and the data is stored on IPFS cloud. This is done on the IPFS cloud to avoid keeping a significant amount of data on the block chain, which would incur a large cost. Third, when blockchain is integrated with other parts of blockchain, a high-end access control system can be built in which authenticated users are traced at every step and held accountable for their actions. Because of the automated end-to-end data structuring, processing, securing, and storing system that was built on high-end internal access control and tracking to have a secure eco-system with authorized users and administrators, the company will be able to maintain its competitive advantage.