Research on computer network information security based on improved machine learning

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.

+ 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.

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

Today, with the continuous development of globalization, Internet technology has achieved unprecedented leap-forward development. On the one hand, data in all fields of society is growing at an explosive rate, and the development of the Internet has brought about profound changes in the way of data transmission, storage and processing. The development of big data and related technologies enables the transmission and exchange of massive data and information to cross the limitations of time and space, and people's dependence on databases and information systems is also increasing. However, on the other hand, the development of the Internet is also a double-edged sword. For network users, once the data information on the network is leaked in large quantities, there will be unpredictable information security risks. In this context, the problem of network information security has become particularly serious, and the impact and harm to the entire society are very huge. It is necessary to strengthen the response, processing and management to fully guarantee the security of the Internet. In the existing legal governance system for network information security, our country’s network security legislation has made rapid progress in recent years. In comparison, there is still a big gap. There are still many problems in China’s network legislation, law enforcement entities, administrative supervision, governance strategies, and social law-abiding awareness, and it is impossible to effectively prevent various security problems that may occur in a comprehensive manner. This article will find out the problems we have in the legal governance of network information security from the actual situation in China. And by comparing and referring to the latest foreign research progress, it puts forward feasible suggestions and measures for the current China’s network information security governance.KeywordsGlobalizationInternet developmentNetwork information securityRule of law governance

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.

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.

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.

The rapid development of big data has brought more problems in network information security and privacy protection. This paper will study the specific network information security and privacy protection technologies in this context. The first part of this paper firstly discusses the connotation and characteristics of big data, and then puts forward the information security and privacy protection problems in the era of big data. The last part deeply studies how to solve the solutions corresponding to these problems.

Currently, electronic technology is developing rapidly, and the popularity of internet applications is constantly increasing. Computers have become an important component that cannot be obtained in people's social production and life. The invention and application of computers have brought convenience to people, changing work, learning, and lifestyle patterns. However, at the same time, the information security issues of computer networks are also exceptionally prominent, leading to significant risks in network information security. Once such risks occur, the losses to users are enormous. This article analyzes the factors that threaten computer network information security, studies effective protection technologies for computer network information security, and explores strategies for sacrificial network information security management.

In the light of the adverse effects of climate change, data analysis and Machine Learning (ML) techniques can provide accurate forecasts, which enable efficient scheduling and operation of energy usage. Especially in the built environment, Energy Load Forecasting (ELF) enables Distribution System Operators or Aggregators to accurately predict the energy demand and generation trade-offs. This paper focuses on developing and comparing predictive algorithms based on historical data from a near Zero Energy Building. This involves energy load, as well as temperature data, which are used to develop and evaluate various base ML algorithms and methodologies, including Artificial Neural Networks and Decision-trees, as well as their combination. Each algorithm is fine-tuned and tested, accounting for the unique data characteristics, such as the presence of photovoltaics, in order to produce a robust approach for One-Step-Ahead ELF. To this end, a novel hybrid model utilizing ensemble methods was developed. It combines multiple base ML algorithms the outputs of which are utilized to train a meta-model voting regressor. This hybrid model acts as a normalizer for any new data input. An experimental comparison of the model against unseen data and other ensemble approaches, showed promising forecasting results (mean absolute percentage error = 5.39%), particularly compared to the base algorithms.

With the advent of the era of big data, intelligent and Internet +, personnel training and education of the school, the teaching pattern reform needs network information technology to support, so the education organization attaches great importance to the development of network information technology, as one type of higher education in higher vocational colleges, no matter from the education administrative department or local government attaches great importance to the development of higher vocational education, especially for digital campus construction in higher vocational colleges put forward very high requirements. From higher vocational colleges to strengthen the construction of digital campus, strengthen the campus network information security, this paper explores the deficiency existing in digital campus construction, research the connotation of higher vocational digital campus network security prevention and control system clear priorities, further summarizes the work method

The network information system safety assessment is a complicated system engineering, this paper puts forward a kind of network information security comprehensive evaluation method, the introduction of Delphi method to screening safety evaluation index, set up the network information system safety integrated evaluation index system, the introduction of ahp, the comprehensive evaluation model is established. Finally, the evaluation method applied to certain the recruitment of students test large network information security evaluation project, achieved the desired results, and the operation process were introduced.

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.