A Novel Trusted Computing Model for Network Security Authentication

With the rapid development of Internet technology, computer network technology has been applied in all walks of life, which is closely related to people's work and life. In the information environment, people's daily life and production methods have also changed accordingly. The application of information technology in people's daily life further enriches people's lifestyle and promotes the rapid development of social economy. While the Internet provides convenience for users, it also brings certain information security risks to users. Therefore, in the application process of computer network information technology, it is necessary to increase information security precautions. Only in-depth implementation of computer network information security protection work, can effectively avoid the occurrence of information security problems. Therefore, it is necessary to ensure the security, effectiveness and integrity of network information through the implementation of relevant protection strategies. This paper analyzes the information security problems of computer network, and proposes corresponding protection strategies based on deep learning algorithm.

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.

Objective Current study used quantitative research methods to reveal the regional medical information research in hotspots, and summarize the mainstream knowledge base to provide the reference for researchers in the field. Methods A systematic search was conducted to find publications in CNKI, Wanfang Database and PubMed. Bibliometrics method, social network analysis, co-word analysis, principal component analysis and multidimensional scaling analysis were used in this study. Results ① total 11, 482 articles published from 1984 to 2013 were screened out. The development of research publications showed an increasing trend, and the papers were distributed in 1233 types of journals. The number of authors who located in Beijing, Guangdong, Jiangsu, Shanghai, Shandong ranked top five. ② The top 59 high-frequency key words were identified that representing the hot contents in regional health information technology research field, and was used to build knowledge network map. Among them, HIS, electronic medical records, hospital information technology, information technology were at the core of this research area. ③ We summarized research and development in the field of nine major mainstream knowledge base include: research on electronic medical records, medical personnel, information systems, information security, information networks, information sharing, information integration, information technology, and information management, resident’s health record related studies; qualitative analysis and problem-oriented research; HIS and telemedicine-related research; community-related research, two-way referral related research, health care reform and cloud computing-related research, telemedicine related research and V43 related research. Conclusions The development of regional medical information research has good momentum and closely follow the international trend, but the research contents and methods are still distance from international standard.. Research mostly focused on hospital information system construction, regional research and applied research are weak and need to be further improved. Key words: Regional medical information; Bibliometrics, co-word analysis; Social network analysis; Knowledge Network; Quantitative research

In the modern information space, an information and telecommunication network is a key component of any organization's operations. Such a network enables the transmission, storage, and processing of various types of data, a significant portion of which is confidential or restricted. This may include employees’ personal information, financial documentation, strategic plans of the organization, and other data that are vital to the institution's functioning and may become targets for information attacks. Due to the continuous rise in cyber threats, the issue of information protection in networks becomes one of the most critical tasks ensuring the stable operation of the organization. This article is devoted to the analysis and description of a model of a protected information and telecommunication network for an organization, which takes into account the specific nature of modern information threats. The proposed model includes a clear segmentation of the information network into two main parts: an internal network containing server resources with confidential data, and an external network that hosts servers intended for public access. Separate protection means and levels are provided for each of these zones, including the use of firewalls, intrusion detection systems, antivirus tools, access control mechanisms, and information protection from unauthorized access. Special attention is paid to methods of assessing the security status of the network against external and internal attacks. The model ensures reliable and comprehensive protection of the organization's information network, guarantees the confidentiality, integrity, and availability of information, and can be applied to building information security systems in government, commercial, and private sectors.

The 21st century is an era of rapid development of the Internet. Internet technology is widely used in various fields. With the rapid development of network, the importance of network information security is also highlighted. The traditional network information security technology has been difficult to ensure the security of network information. Therefore, we mainly study the application of machine learning feature extraction method in situational awareness system. A feature selection method based on machine learning is proposed to extract situational features.By analyzing whether the background of network information is safe or not, and according to the current research situation at home and abroad and the trend of Internet development, this paper tries out the practical application of machine learning feature extraction method in a certain perception system. Based on the above points, a selection method based on machine learning is proposed to extract situational features. The accuracy and timeliness of situational awareness system detection are seriously affected by the high dimension, noise and redundant features of massive network traffic data.Therefore, it is of great value to further study network intrusion detection technology on the basis of machine learning.

The development of the post-industrial society requires the acceleration of the integration of the national economy into the globalized economic space. This stage is characterized by active informatization of all spheres of life in society, which requires information security and cyber protection for high-quality information provision of the country’s population, intellectualization of economic processes and prevention of destructive informational influence on the social status of the individual. It is also necessary to consider that for Ukraine the specified stage is complicated by the hybrid war with Russia, which requires strengthening the protection of information from cyber-attacks and the formation of new approaches in preserving the quality of information on social networks. Therefore, the purpose of this article is the development of scientific and methodological approaches in information security management, strengthening its social significance. This requires solving a certain range of tasks of identifying and preventing socially dangerous information based on the use of economic and mathematical methods and models. The article highlights the main directions of socialization of modern technological development and theoretically substantiates its significant impact on human consciousness and behavior, puts a person in front of serious challenges and, under conditions of hybrid warfare, requires strengthening of information security in social networks. In the work, the components of information security are supplemented, its impact on social aspects of society’s life is highlighted. As a result of the research, the authors proposed a scientific and methodical approach to the construction of a system for countering the spread of socially dangerous information in social networks. Besides, its functional elements are highlighted. A method of combating the spread of harmful information in social networks has been developed, which solves the problem of information support of the decision-making process and includes providing the chosen and alternative options to the person making the decision, with the justification of the choice. This creates prerequisites for information support for making a well-founded management decision.

The presented article introduces the obtained solutions to the problems of information security in information networks at high-voltage electrical substations. The topic is driven by the ever-increasing apply of digital instrument transformers to measure electrical values on substations. These intelligent devices allow you to measure the currents and voltages in real time. The measured electrical instant values contained inside the data stream from digital instrument transformers must be delivered to the substation dispatching system in a strictly limited time. Exceeding the time delays of information transmission in the information network of a substation can lead to an accident at a critical infrastructure facility, which is an electrical substation. An increase in time delays during data transmission to the substation control system may be the results of information storms, which for various reasons may occur in the substation information network. This is one of the reasons for holding back the transition of the electric power sector of economy to the digital substations application. The presented software and hardware for digital instrumental transformers make it possible to ensure data transmission with an acceptable time delay in the event of an increase in the information load on the network. Laboratory studies and mathematical modeling confirm the results of the development.

It is a multiple criteria problem to evaluate the security of information networks. However, one key issue which is not fully considered in extant studies is how to obtain the values of these multiple evaluation criteria, and in most evaluation models some redundant criteria values are calculated. Motivated by this, in the work we first use the pairwise comparison method to attain the values of each evaluation aspect of the security of information networks, and then develop a novel similarity-based M(1, 2, 3) approach to rate the security of alternative networks. Application study shows that the proposed approach could rate the overall security of alternative information networks and recognize the most vulnerable aspects of each information network, which provides good supports for making policies to enhance the security of alternative information networks.

Enterprise integrated automation is the general trend of industrial control development. The combination of control network and information network provides comprehensive information services for enterprise as production information, production control, planning decisions and sales management as well. The industrial control network and information network integration can realize the information and resources sharing among the enterprises networks and further improve the enterprises informationization and integrated automation level so as to achieve the situation that the enterprise production and management is more efficient and more flexible. The study introduces the information integration of the fieldbus control network and the information network and analyze the information integration technologies such as internetworking, dynamic data exchange (DDE), Open Database Connectivity (ODBC), OLE for Process Control (OPC), control network and information network with unified protocol standards. the integration application of bus system is illustrated with the example of Controller Area Network (CAN) bus.

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

Dynamic advances in technology as well as information and communication entail many new threats to the functioning of the Polish state, its citizens, as well as to the international community. These are mainly the dangers of using information networks and information systems. For this reason, particular importance is given to ensuring information security which combines procedures and tools for the protection of classified information, data and network systems. Information security has now become one of the most sensitive trans-sectoral areas of national security, having an impact on the efficiency of Poland’s entire security system. This is about information security, ICT security and cybersecurity. The paper aims to analyse the issue of information security as part of the security area of the Republic of Poland. The issue was raised because of its importance and topicality, as recently there has been an increase in cyber-terrorist activity and a growing number of media reports on attacks on information systems, targeting the critical infrastructure of states. Information security risks pose a real threat and loss of information can lead to a violation of the vital interests of various entities and a compromise of people’s safety and fundamental values of social life.

Due to the vulnerability of the structure and characteristics of the computer network information system itself, there will be many inevitable network information security problems. In order to solve the shortcomings of the existing research on computer network information security threat identification technology, based on the discussion of big data clustering algorithm and computer network information security, this paper briefly introduces the configuration of the data set and experimental environment. And discuss the workflow design of the designed model architecture, and finally analyze the application of the designed identification technology framework. The experimental data show that the accuracy rate of the computer network information security threat identification technology of the big data clustering algorithm proposed in this paper is as high as 91.5%, the recall rate is as high as 91.4%, and the detection rate is as high as 86.4%. Therefore, the applicability of the information security threat identification technology based on the big data clustering algorithm can be seen.

News data is one of the most abundant and familiar data sources. News data can be systematically utilized and ex- plored by database, data mining, NLP and information re- trieval researchers to demonstrate to the general public the power of advanced information technology. In our view, news data contains rich, inter-related and multi-typed data objects, forming one or a set of gigantic, interconnected, het- erogeneous information networks. Much knowledge can be derived and explored with such an information network if we systematically develop effective and scalable data-intensive information network analysis technologies. By further developing a set of information extraction, in- formation network construction, and information network mining methods, we extract types, topical hierarchies and other semantic structures from news data, construct a semi- structured news information network NewsNet. Further, we develop a set of news information network exploration and mining mechanisms that explore news in multi-dimensional space, which include (i) OLAP-based operations on the hierarchical dimensional and topical structures and rich-text, such as cell summary, single dimension analysis, and promo- tion analysis, (ii) a set of network-based operations, such as similarity search and ranking-based clustering, and (iii) a set of hybrid operations or network-OLAP operations, such as entity ranking at different granularity levels. These form the basis of our proposed NewsNetExplorer system. Although some of these functions have been studied in recent research, effective and scalable realization of such functions in large networks still poses multiple challenging research problems. Moreover, some functions are our on-going research tasks. By integrating these functions, NewsNetExplorer not only provides with us insightful recommendations in NewsNet exploration system but also helps us gain insight on how to perform effective information extraction, integration and mining in large unstructured datasets.

The proposed method for designing a cyber-resilient information and communication network (ICN) is based on solving an optimization problem related to the mutually coordinated calculation of various control variables responsible for choosing the network topology; the order of connecting access networks to ICN core routers; determining the characteristics of the equipment used in terms of its performance and security level; determining the order of routing packet flows. The method assumes that the locations of the probable placement of network routers are known in advance. Due to the synthesized mathematical model, the method provides not a sequential but a simultaneous solution to the primary design tasks, which significantly affects the level of efficiency of the final solutions. The mathematical model on which the developed design method is based is mostly linear. Only the conditions for preventing the overloading of communication links (router interfaces) are non-linear. The cyber resilience of design solutions is ensured by the fact that in the objective function to be minimized, the weighting coefficients, along with cost and quality of service indicators, should also consider network (information) security indicators – the compromise probability or information security risks of network equipment. This will make it possible to synthesize a network with specified or predicted cyber resilience indicators. Prospects for further research in this area are related to the introduction of a mathematical model and a method for designing conditions for ensuring guaranteed quality of service, which will allow only the requirements for the level of cyber resilience to be taken into account at the level of the optimality criterion. On the other hand, an attempt to move to a linear version of the conditions for preventing communication link overload is a certain direction of model improvement, which will somewhat reduce the computational complexity of calculations related to the determination of a large number of control variables.

With the continuous development of social development process and the open sharing characteristics of data presentation, it provides more efficient network information services for the majority of audiences, and also brings the security of computer network information. Therefore, based on the background of big data, this paper analyzes the problem of computer network information security, and proposes targeted security processing technology countermeasures, aiming to provide help for the security of computer network information technology.