APPLICATION OF AI AND BLOCKCHAIN TECHNOLOGY IN DCMS FOR THE AUTOMATIC DOCUMENT CLASSIFICATION AND IMPROVE THE SECURITY

Abstract

Every day, the volume of information carried back and forth across the internet grows at a rate of around 2.3 quintillion bytes. Accelerated technical advancement, increased user interaction, and very efficient application development are just a few of the various advantages that may be realized by increasing speed. 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. This technique handles all parts of data processing, such as recognizing the type of data, assessing whether it is critical, and determining the next encryption step to safeguard the crucial data. This technology has the potential to be applied in a wide range of sectors, including the security of sensitive data in military and medical research, the protection of confidential data in enterprises, and other areas of interest. Analysis is used to extract content from photos, and a trained classifier is then used to determine whether or not the input data is secret. An automated approach known as machine learning is used to train the classifier. To prevent unauthorized access to critical information, papers placed in the institution's principal storage area are first encrypted using an RSA algorithm before being stored. This is done on IPFS cloud to avoid storing a large amount of data on the block chain, which will incur a large cost, because every single storage on the block chain requires a cryptocurrency transaction. In this work, Ethereum is used to transact the data and store on the 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 block chain is integrated with other parts of block chain, 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 in order to have a secure eco-system with authorized users and administrators, the company will be able to maintain its competitive advantage.