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

Abstract

Some multinational enterprises have comparatively poor property and resource management. Materials Inventory information is easily lost during storage, which prevents managers from getting timely access to an enterprise's financial information., It increases the likelihood of foreign investment risks that results in financial crisis. Therefore, this paper presents a secure storage system of Material Inventory Data (MID) that integrates blockchain and artificial intelligence technology. The three components of blockchain are transaction, block, and chain which create a hierarchical structural model. The probability that the system is attacked by multiple intruders is calculated as the system constraint function, and the target constraint conditions are divided, and accordingly a model of the safe storage mechanism is established. Additionally, the incentive mechanism is used, in which several nodes come to an agreement on the block contents. It achieves model optimization and guarantees block income maximization. The simulation results demonstrate that the data storage delay time of the suggested system is shorter than that of the conventional approach. (Moreover, there is very little data loss, which helps to effectively ensure the integrity of enterprise data security storage).