Enterprise data security storage integrating blockchain and artificial intelligence technology in property and resource risk management

Enterprise data security is a critical concern for businesses, especially when it comes to storing sensitive information related to property and resource risk management. Integrating blockchain and artificial intelligence (AI) technology can provide a more secure and efficient solution for storing this type of data. Some multinational enterprises struggle with poor property and resource management, which leads to the loss of materials inventory information during storage. This lack of information prevents managers from accessing timely and accurate financial information, increasing the risk of foreign investment and resulting in financial crises. To address this problem, this paper proposes a secure storage system for Material Inventory Data (MID) that integrates blockchain and artificial intelligence technology. The proposed system consists of three components: transactions, blocks, and chains, which create a hierarchical structural model. The system's constraint function calculates the probability of multiple intruders attacking the system, and the target constraint conditions are divided to establish a safe storage mechanism. Additionally, the system uses an incentive mechanism where multiple nodes agree on the block contents to optimize the model and maximize block income. Simulation results show that the proposed system has a shorter data storage delay time than the conventional approach, and very little data loss, effectively ensuring the integrity of enterprise data security storage.