Current Situation and Prospect of Game Theory based Network Security Methods

Contemporarily, two emerging techniques, blockchain, and machine learning are driving dramatic rapid growth in the field of network security. This paper describes a literature review of machine learning approaches for network security analytics and summarizes some applications of blockchain in the field of network security. We first illustrate three types of network security data, including network traffic, software binary, and security logs. Then we discuss the application of machine learning and deep learning approaches to analyze these data. We cover a broad array of attack types, including malware, spam, insider threats, network intrusions. We also summarize some applications and potential development direction of blockchain technology.

The modern world technology is civilized, globalized and modernized. The technological development of social networks and e-commerce applications produce larger data. This data communication is major task, because device to device communication need network terminal. This data transmission is not safe because of different types of tools and software available to destroy the existing network. In the field of network security during data transfer from one particular node to other node some security vulnerability is happened this is the one of the critical issue in this sector. The reason for this network security is different types of data attacks are happen in day to day life. It is easy to establish a new network but protecting the entire network is a big issue. This network security is generally two parameter first one is communication and second one is data automation. The network security field is directly or indirectly linked with the concept of data encryption. The development in this network security has taken us to a level that from signature again we came back to thumb print. For example maintain the data secure we use the lock system which is a finger print type. This technology helps us to protect the physical data theft, but logical data theft is still problem for data transmission. This article will brief about the network security it also presents the various network security types. Those types are wired and wireless network security. Apart from the network security the following topics is also discussed in this article. Those are network security protocols and simulation tools in network security. The research problems in network security are privacy and vulnerability of data.

With the complication of attack means, the network security technology needs new changes. This study analyzed the establishment of the game model and strategy selection in the process of network security attack and defense confrontation. Firstly, the relevant theory of game theory was introduced; then the network attack and defense game model was established; the components of the model were analyzed; and finally, the Nash equilibrium of the hybrid strategy was solved to obtain the optimal defense strategy. The simulation results showed that the method could find the best attack and defense strategy {a3, d4} in the complex hybrid strategy. The calculation of payoff verified the correctness of the strategy. The experimental results show that the application of the attack‐defense confrontation in the network security field is feasible and it can effectively generate optimal attack‐defense strategy to realize network security.

Cloud computing not only provides convenience for users, but also brings certain information security threats to users. How to effectively protect the user’s information security has become one of the core issues of network security. This paper analyzes the problems and reasons of network security in cloud computing environment, and points out the main ways to improve network security. This paper analyzes the network security problems in the cloud computing environment, and discusses the information security technology in the network. This paper studies the definition, characteristics, classification and core technology of cloud computing security, analyzes the security risk of cloud computing network, and puts forward the cloud computing network security model and security level evaluation method from different angles. Level experiment results show that the network security model in cloud environment is feasible, computing can fully meet the development requirements of the current network information age, and effectively standardize the network security operation environment. The results show that: in 2016, the number of articles related to cloud computing is at least 2653, and in 2020, the number of articles related to cloud computing is at most 6438.

We note that the effective and active struggle of European countries with information terrorism takes place within the framework of the European Union, all its member-countries, as well as neighboring countries and applicants for accession. Therefore, it should be stressed that the EU is pursuing itself a very active policy in the field of information security. At the moment, it brings together highly developed countries that have a tremendous impact on international relations by establishing norms and standards of conduct of states in the political, economic, social, informational and other spheres. The main objective of the EU is to strengthen the European Commission’s dialogue with international organizations and partners on the issue of network security and, in particular, on the growing dependence on electronic networks. Political priorities in the field of information security, defined by the governing bodies of the European Union, are being implemented at the national level by both state authorities and nongovernmental organizations. Analyzing all the above, it can be concluded that within the framework of the EU, information security is considered, first of all, as a state of information networks and systems that provides an adequate level of protection of the integrity, availability, authenticity and confidentiality of information and the appropriate level of counteraction to external negative influences. Priorities of EU policy in the field of information security are the creation and implementation of programs and various technical means of protection of information and communication technologies; development of normative legal acts that establish a list of crimes in the IT sphere and criminal liability; ensuring a high level of public awareness of the risks, threats and ways of protecting their information systems / networks from undesirable effects.

Denial of Service (DOS) and (DDOS) Distributed Denial of Service attacks have become a major security threat to university campus network security since most of the students and teachers prepare online services such as enrolment, grading system, library etc. Therefore, the issue of network security has become a priority to university campus network management. Using online services in university network can be easily compromised. However, traditional security mechanisms approach such as Defense-In-Depth (DID) Model is outdated in today’s complex network and DID Model has been used as a primary cybersecurity defense model in the university campus network today. However, university administration should realize that Defense-In-Depth (DID) are playing an increasingly limited role in DOS/DDoS protection and this paper brings this fact to light. This paper presents that the Defense-In-Depth (DID) is not capable of defending complex and volatile DOS/DDOS attacks effectively. The test results were presented in this study in order to support our claim. The researchers established a Defense-In-Depth (DID) Network model at the Central Luzon State University and penetrated the Network System using DOS/DDOS attack to simulate the real network scenario. This paper also presents the new approach Defense-through-Deception network security model that improves the traditional passive protection by applying deception techniques to them that give insights into the limitations posed by the Defense-In-Depth (DID) Model. Furthermore, this model is designed to prevent an attacker who has already entered the network from doing damage.

An urgent problem in the field of information security – the provision of human resources in the field of information security in the Russian Federation is presented. One of the factors influencing this is the lack of the possibility of determining at the initial stage the optimal choice of the future direction of activity of graduates of higher educational institutions with specialization in this field. To solve this problem, it is proposed to use methods of data mining, machine learning and algorithms based on artificial neural networks. For the successful application of data mining methods, several factors should be taken into account: the data set must be large enough. Secondly; the data must be structured and analyzed to extract the most important information; the data analysis methods must be adequate and accurate in order to determine the purpose of the graduate with the highest accuracy. Taking into account these factors, the article suggests a way to form the initial data set and prepare it using statistical methods to predict the success of the professional activity of an information security specialist. The results of this work can be useful for higher educational institutions, specialists in the field of information security, heads of personnel departments who are interested in optimizing the process of selecting qualified employees in this field.

In modern conditions, it is quite difficult to keep track of all existing threats to network security. The article considers the main security threats for small and large networks in the context of their characteristics and features of detection. Purpose. Analytical analyze the main security threats for small and large networks, as well as how they are presented. Methodology: when writing the article, the analysis of scientific literature in the field of the main issues of ensuring network security was used, followed by a synthesis of the data obtained. Results: the main security threats for small and large networks are formulated. Practical implications: the results obtained can be applied in the field of information security and personal data protection.

The network has become an indispensable element in daily life and makes the connection between things closer. This paper presents a network security simulation model and discusses the basic framework and application of the model. This paper is based on the random forest network security situation awareness model. The model performs dimensionality reduction on the data through data feature analysis to highlight the characteristic attributes of data records and reduce invalid data, thereby reducing the resource overhead of the model and its dependence on network hardware device configuration. As the core of the model, the random forest algorithm enables the model to distinguish various network behaviors. Results show that the average detection rate of its network security model is 95%. Further reflects the high performance of this model.

Network security assessment is a complex multi-criteria problem including both quantitative and qualitative factors. In this paper, taken the computer network security evaluation index for a research object, the judgment matrix of index weight was improved based on the fuzzy theory, and a new weight determination approach was proposed to make up the shortcomings of traditional weight determination method and highlight the fuzziness of expert judgment. Meanwhile using fuzzy theory to establish fuzzy evaluation matrix, then combine analytic hierarchy process to set up a fuzzy AHP evaluation model of the computer network security. At the final stage, a security assessment of the system of an institution’s network was to implement to demonstrate the feasibility of the evaluation model.

The field of network security has evolved significantly over the years, with new threats emerging and security measures adapting in response. Network security problems exist through all the layers of the computer network, and the network security objective is to maintain the confidentiality, authenticity, integrity, dependability, availability, and suitability of the network. The rapid development of computer network systems brings both great convenience and new security threats for users. Network security problems generally include network system security and data security. Specifically, it refers to the reliability of the network system, confidentiality, integrity, and availability of data information in the system. This paper aims to trace the timeline of network security in chronological order, starting from the early days of computing to the present day. The paper will explore the major milestones in the development of network security, including the emergence of viruses, the introduction of firewalls, and the rise of cybercrime. By examining the historical context of these developments, this paper will provide a deeper understanding of the evolution of network security and the challenges that continue to shape the field today. Ultimately, this paper will demonstrate how network security has become an essential component of modern computing, and how its evolution has helped shape the digital world we live in today. Index Terms — Access Control, Anti-Virus, Asymmetric Key, Authentication, Availability, Cipher, Clearance levels, Confidentiality, Data encryption, DevSecOps, Firewalls, Firmware, Hash Function, IDS, Integrity, Intrusion, NAT, Security, Security Audits, SOAR, Symmetric Key, VPN, XDR

Cybersecurity has always been a subject of great concern, and anomaly detection has gained increasing attention due to its ability to detect novel attacks. However, network anomaly detection faces significant challenges when dealing with massive traffic, logs, and other forms of streaming data. This article provides a comprehensive review and a multi-faceted analysis of recent algorithms for anomaly detection in network security. It systematically categorizes and elucidates the various types of datasets, measurement techniques, detection algorithms, and output results of streaming data. Furthermore, the review critically compares network security application scenarios and problem-solving capabilities of streaming data anomaly detection methods. Building on this analysis, the study identifies and delineates promising future research directions. This article endeavors to achieve rapid and efficient detection of streaming data, thereby providing better security for network operations. This research is highly significant in addressing the challenges and difficulties of analyzing anomalies in streaming data. It also serves as a valuable reference for further development in the field of network security. It is anticipated that this comprehensive review will serve as a valuable resource for security researchers in their future investigations within network security.

This paper analyzes the process of Google Aurora attack, summarizes the typical steps of APT attacks. By analyzing the defects on traditional enterprise security architecture, this paper proposes a new security solution with a central analysis and control module. The module adopts a detection mode based on the storage, and it is divided into storage layer, analysis layer and presentation layer.

Network virus propagation and security situation awareness based on Hidden Markov Model

As the Internet grows omnipresent in the lives of these people, people rely largely on the Internet for appropriate communication and quick access to information. The network has security problems, though. Network security has become a challenge since numerous new network assaults have gotten increasingly complicated and caused enormous network losses. The Game Theory technique has been introduced as a viable tool for addressing such challenging cyber threats. Methods of game theory were offered as valuable tools for addressing these difficult cyber threats. Many researchers have advocated using game theory to improve network security. On the one hand, the lack of a quantitative decision-making framework is a major drawback of traditional network security systems. Game theory handles the problem of several individuals competing with opposing motivations or goals; it can give a mathematical framework for studying and modeling network-related security challenges.