Biblio

In today's society, with the continuous development of artificial intelligence, artificial intelligence technology plays an increasingly important role in social and economic development, and hass become the fastest growing, most widely used and most influential high-tech in the world today one. However, at the same time, information technology has also brought threats to network security to the entire network world, which makes information systems also face huge and severe challenges, which will affect the stability and development of society to a certain extent. Therefore, comprehensive analysis and research on information system security is a very necessary and urgent task. Through the security assessment of the information system, we can discover the key hidden dangers and loopholes that are hidden in the information source or potentially threaten user data and confidential files, so as to effectively prevent these risks from occurring and provide effective solutions; at the same time To a certain extent, prevent virus invasion, malicious program attacks and network hackers' intrusive behaviors. This article adopts the experimental analysis method to explore how to apply the most practical, advanced and efficient artificial intelligence theory to the information system security assessment management, so as to further realize the optimal design of the information system security assessment management system, which will protect our country the information security has very important meaning and practical value. According to the research results, the function of the experimental test system is complete and available, and the security is good, which can meet the requirements of multi-user operation for security evaluation of the information system.

Semantic metadata is an important means to promote the integration of information and services and improve the level of search and discovery automation. Aiming at the problems that machine is difficult to handle service metadata description and lack of information metadata description in current SWIM information services, this paper analyzes the methods of metadata sematic empowerment and mainstream semantic metadata standards related to air traffic control system, constructs the SWIM information, and service sematic metadata model based on semantic expansion. The method of semantic metadata model mapping is given from two aspects of service and data, which can be used to improve the level of information sharing and intelligent processing.

This paper considers the problem of running a long-term on-demand service for executing actively-secure computations. We examined state-of-the-art tools and implementations for actively-secure computation and identified a set of key features indispensable to offer meaningful service like this. Since no satisfactory tools exist for the purpose, we developed Pool, a new tool for building and executing actively-secure computation protocols at extreme scales with nearly zero offline delay. With Pool, we are able to obliviously execute, for the first time, reactive computations like ORAM in the malicious threat model. Many technical benefits of Pool can be attributed to the concept of pool-based cut-and-choose. We show with experiments that this idea has significantly improved the scalability and usability of JIMU, a state-of-the-art LEGO protocol.