Design and implementation of secure medical database systems.

+ Linear and dynamic models of the system of information security in social networks, taking into consideration the relationships between users, were studied and the resistance of the security system was analyzed. There is a practical interest in studying dependence of the behavior of the system of social network security on the parameters of users’ interaction. Dynamic systems of information security in social networks in the mathematical sense of this term were considered. A dynamic system refers to any object or process, for which the concept of state as a totality of certain magnitudes at a given time is unambiguously defined and the law that describes a change (evolution) of the initial state over time was assigned. The network of social interactions consists of a totality of social users and a totality of the relations between them. Individuals, social groups, organizations, cities, countries can act as users. Relations imply not only communication interactions between users but also relations of the exchange of various resources and activities, including conflict relations. As a result of research, it was found that the security systems of a social network are nonlinear. Theoretical study of the dynamic behavior of an actual object requires the creation of its mathematical model. The procedure for developing a model is to compile mathematical equations based on physical laws. These laws are stated in the language of differential equations. Phase portraits of the data security system in the MATLAB/Multisim program, which indicate the stability of a security system in the working range of parameters even at the maximum value of the impacts, were determined. Thus, the influence of users’ interaction parameters on the parameters of the system of social network security was explored. Such study is useful and important in terms of information security in the network, since the parameters of users’ interaction significantly affect, up to 100 %, the security indicator.

How to ensure the security of sensitive medical data is a challenging issue for medical information system. Trusted management technology, which is focusing on the information security and becoming the main research directions, provides the basis. By establishing trust model and realizing trust management, we can improve the security and reliability of medical information system deeply. As a result, the research on the application of trusted management technology in the medical security has become the hot point field. Many trust models have been proposed which are considered different factors or scenarios. In this paper, a trust evaluation model for user behavior in mobile medical information system is proposed. First, according to the characteristics of mobile medical information system, we chose three categories including eight indicators as the input: user parameter, operation parameter and content parameter. Second, the model called VARTE is based on the vector autoregressive (VAR), which is a method of multivariate time series analysis. VAR can consider more complex long-term factors than simple time decay used in other trust model. Finally, we compare VARTE with EigenTrust and the improvement of EigenTrust called EigenTrust-PRO under simulation conditions. Analysis and testing show that VARTE can effectively evaluate the trust value of user behavior, and has advantage in trust evaluation under the long-term and multi-factor influence.

This paper presents the design and implementation of a deductive database system. RDL1, is the production rule language for this system. This language is an extension of logic based languages towards the support of updates and complex domains. Different features of this language are described with its applications. The general architecture of the system is presented highlighting integration with a relational database system. Then, three original features of the system are discussed: extensibility through the definition of end user data types, query optimization techniques, and the extensibility of the control strategy. Future improvements and extensions conclude the paper.

Now with the wide use of computer network and e-commerce, network security has become an important problem that it must be considered and resolved. More and more professions in the enterprises and individuals are subjected to the security problem in different degree. It is looked for the more reliable safety solutions. In the rapid development of the networks, emphasis on network information security is growing. Through analyzing the network information security factor, several common network information security policies are proposed, and the system of network information security is formed. By using virtual machine technology, network attacks and network protection subsystem are virtually out on a server, the configuration management of the vast majority of current network operations and network attack protection can be realized. The training environment of network attack and defense with function is more comprehensive, more superior performance and more realistic simulation experiments degree. Then, network security threats and defense strategies are summarized in this paper.

At present, multi-sensor data fusion technology has been applied in many fields, and we have to understand the algorithm principle of multisensor data fusion technology, master the basic theory of multisensor data fusion technology, and analyze the application field of multisensor data fusion technology. The technical challenges of its application area should be understood. The discussion on its development direction has promoted the wide application of multisensor data fusion technology. By improving the query planning, query interpretation, and cache query optimization mechanism of different data organization models, a scalable and efficient distributed hybrid online analytical processing system is designed and implemented. With the opening of the medical system reform, the construction of the medical security system will be continuously improved. The in-depth reform of the medical security system will affect the medical treatment of more than one billion people, involving thousands of households, and it is a great cause for the welfare of the people. In this paper, exploration and research are carried out, combined with the basic algorithm and typical application of data fusion, and the construction of urban residents’ medical insurance is studied. The experimental results show that the Cavani index of medical expenses generally shows a downward trend in urban and rural areas, and the urban area has decreased from −0.1916 in 2012 to −0.2995 in 2020. This paper focuses on the in-depth study of the development process, actual situation, and existing problems of the social medical insurance system for urban residents, compares the development models of urban medical insurance in other places, and tries to put forward valuable and constructive countermeasures for the medical insurance system for urban residents.

Literature abounds with descriptions of various aspects of Information Systems (IS) security like security management, cryptography, computer crime, database security, etc. The purpose of this paper is to analyse what is characteristic in security of Information Systems that are provided by outsourcing vendor. That is helpful to answer how the organisation should control the feasibility of outsourcing. The first question is what firm’s assets should be protected. Next considerations include approaches to risk accompanying IS outsourcing. The last part of the paper include the model of co-operation management control for effective security of information and its infrastructure.

The paper presents the components of developing secure and efficient information systems focusing on data protection technologies and architectural design using medical information systems. By evaluating architectural approaches, the analysis highlights the advantages of microservices architecture for modern medical systems due to its flexibility, modularity, and ability to integrate various technologies while minimizing security risks. Research explores the integration of cloud solutions with on-premises storage, offering practical insights for optimizing security and scalability in medical systems.

Subject. In the modern information society, ensuring information security is one of the key tasks of organizations, especially in the context of growing cybersecurity threats. Every year, companies face increasingly complex and diverse threats that can cause significant damage to both the financial resources and reputation of the organization. In this context, ensuring information security becomes an important strategic task for enterprises in various fields of activity. Information security plays a critical role in protecting information confidentiality, ensuring the integrity and availability of information, as well as the security of information systems and networks. Goal. The main goal of the research in this work is a comprehensive study of the technology for ensuring the protection of information, preventing unauthorized actions with it, in particular, its use, disclosure, distortion, modification, research and destruction, as well as the correct strategy for information protection of data from external and internal threats. Method or methodology. The research is based on general scientific methodology, which involves the use of a systematic approach and general scientific methods of cognition. The results of the work. In the course of the study, the authors of the article tried to resolve the problem of the interdependence of information security and the strategy for information protection of data from external and internal threats by structuring the subject area of information security policy, which made it possible to set priorities in solving the problems of ensuring the required level of security of information resources and supporting infrastructure in the context of the development of digital technologies. When analyzing problems related to information security, the authors note the importance of mechanisms for generating new solutions that allow, at a minimum, to adequately respond to threats to information security or to anticipate new threats and be able to resist them. Conclusions. The study found that information security plays a critical role in the modern world, ensuring data protection, privacy and sustainability of business processes. In an environment of constantly changing and evolving threats, maintaining a reliable information security system becomes an integral part of the success of organizations and personal security. This is an important step towards creating an information security management system at the enterprise, with the help of which constant and effective monitoring of the effectiveness of security measures is carried out, timely correction of actions taken and revision of existing provisions to ensure maximum security.

Control modeling and optimization of network information security system based on deep learning data interaction

Approaches to the application of methods of system analysis to solve problems related to information security of enterprises in transport, which have a complex IT structure with a large number of components. It is shown that the active expansion of the areas of informatization of the transport industry, especially in the segment of mobile, distributed and wireless technologies, is accompanied by the emergence of new threats to information security. It is shown that in order to build an effective information security system, the selection and implementation of adequate technical means of protection should be preceded by a stage of description, analysis and modeling of threats, vulnerabilities, followed by calculation of risks for IS and determining the optimal strategy for information security system. After evaluating the different NIB options according to several criteria, a decision is made: if the recommendations coincide, the optimal solution is chosen with greater confidence. If there is a contradiction of recommendations, the final decision is made taking into account its advantages and disadvantages, for example, the strategy of information security system development is chosen, which turned out to be optimal for at least two criteria. If different NIB development strategies are obtained for all three criteria, it is necessary to vary the values of pessimism-optimism in the Hurwitz criterion or change the data, for example, about possible threats to IP or automated enterprise management system. An algorithm for modeling the decision-making process for selecting the optimal strategy for managing investment design components of the information security system for the transport business entity is proposed

1 - Blockchain-based transaction validation for patient interoperability in Healthcare 4.0

With the rapid development of intelligent medical digitization and people's aspirations for a healthy life, the issue of medical data security has become increasingly prominent. The sensitivity and value of medical data demand that we take effective measures to safeguard data security. This not only pertains to the risks of data leakage and personal information abuse but also to issues of social stability. To address the problem of medical data security, the advantages and characteristics of the distributed architecture of fog computing are primarily utilized, and RSA algorithm technology is integrated. This enables the effective processing and storage of the large volume of heterogeneous data generated by medical service systems in the context of the Internet of Things at fog nodes, achieving low-latency processing and efficient storage of medical data and ensuring the data security of data sources. Simultaneously, technical means such as identity authentication and access control, fine-grained permission management, and data encryption in intelligent medical service systems are employed to enhance data security protection. Research has demonstrated that the integration of fog computing and RSA algorithm technology can effectively reduce computational costs, ensure the security of medical data flow, protect patient privacy, and prevent improper information access and abuse. The intelligent medical data security technology based on fog computing is of great significance for protecting patient privacy and data security. Meanwhile, it plays an important role in safeguarding medical data, improving service quality, and promoting industry development, and it represents an important research direction in the future intelligent medical field.

This paper proposes a general network security framework based on artificial intelligence technology. Then the relationship between security objectives, security boundaries, security system elements, security services and security risk assessment are described. The modeling methods of security objectives, security boundaries and security system elements are given by using the power and universality of Unified Modeling language (UML). On the basis of building the network scenario, this paper sets up the association rules of network information security event detection and constructs the information security risk measurement model from the three perspectives of network database security vulnerability, data islanding risk and network security protection ability. Finally, a typical network example is given to analyze the application of the above model and algorithm in network security evaluation and optimal active defense. The analysis results show that the model and method presented in this paper are feasible and effective.

As database applications have become more sophisticated, the development of support tools for database design has become more critical. Before support tools can be developed, however, the nature of database design problems and their solutions must be well defined. We apply data modelling principles to these tasks. The result is a multi level model of databases. The logical level describes database design problems and the physical level describes their solutions. This model is the basis for a computer aided database design methodology developed by the authors.

We describe the design and implementation of the Glue-Nail deductive database system. Nail is a purely declarative query language; Glue is a procedural language used for non-query activities. The two languages combined are sufficient to write a complete application. Nail and Glue code are both compiled into the target language IGlue. The Nail compiler uses variants of the magic sets algorithm and supports well-founded models. The Glue compiler's static optimizer uses peephole techniques and data flow analysis to improve code. The IGlue interpreter features a run-time adaptive optimizer that reoptimizes queries and automatically selects indexes. We also describe the Glue-Nail benchmark suite, a set of applications developed to evaluate the Glue-Nail language and to measure the performance of the system.