Computer Network Information Security Research Articles

Analysis of computer network information security and protection strategy

Analysis of computer network information security and protection strategy

A Practical Study of Big Data Technology in Computer Network Information Security Processing

In recent years, China has witnessed continuous development and progress in its scientific and technological landscape, with widespread utilization of computer networks. Concurrently, issues related to computer network information security, such as information leakage and virus invasions, have become increasingly prominent. Consequently, there is a pressing need for the implementation of effective network security measures. This paper aims to provide a comprehensive summary and analysis of the challenges associated with computer network information security processing. It delves into the core concepts and characteristics of big data technology, exploring its potential as a solution. The study further scrutinizes the application strategy of big data technology in addressing the aforementioned security issues within computer networks. The insights presented in this paper are intended to serve as a valuable reference for individuals involved in the relevant fields, offering guidance on effective approaches to enhance computer network information security through the application of big data technology.

Retracted: Computer Network Information Security Monitoring System Based on Big Data Era

Retracted: Computer Network Information Security Monitoring System Based on Big Data Era

Cybersecurity in Business: A Case Study of DiDi

Big data has substantially improved the efficiency of information collection and processing (Fadhil et al., 2021). (Fadhil, S. A., Kadhim, L. E. and Abdurazaq, S. G. (2021) ‘Protection measurements of computer network information security for big data’, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 24, No. 7, pages 1959–1965, doi: 10. 1080/09720529.2021.1959996). Nevertheless, the transparentizing and openization of information could also increase the risk of disclosure of personal information and business secrets, leading to various illegal and criminal activities (Lim et al., 2018). (Lim, S., Woo, J., Lee, J. and Huh, S. -Y. (2018) ‘Consumer valuation of personal information in the age of big data’, Journal of the Association for Information Science and Technology, Vol. 69, No. 1, pages 60–71, doi: 10.1002/asi.23915). This paper adopts qualitative analysis and single-case study to investigate the approaches and outcomes of network information collection. It is found that many e-commerce platforms utilize big data technologies to collect, screen and process customer information. Yet, the collected customer information might be maliciously used by others to infringe on personal privacy, result in property damage and loss, trigger unhealthy market competition, and hinder economic development (Taylor, 2017). ((Taylor, I. (2017) ‘Data collection, counterterrorism and the right to privacy’, Politics, Philosophy & Economics, Vol. 16, No. 3, pages 326–346, doi: 10.1177/ 1470594X17715249). Thus, this paper recommends that the application of big data should have a legal boundary. It needs to be strictly defined and regulated to facilitate its positive role in protecting cybersecurity and promoting fair market competition. Big data, business secret, cybersecurity, data right, e-commerce platform, information processing, legal boundary, market competition, network platform, personal privacy

Retracted: Application of Data Encryption Technology in Computer Network Information Security

Retracted: Application of Data Encryption Technology in Computer Network Information Security

Retracted: Application of Data Image Encryption Technology in Computer Network Information Security

Retracted: Application of Data Image Encryption Technology in Computer Network Information Security

Retracted: Application Research of Data Encryption Technology in Computer Network Information Security

Retracted: Application Research of Data Encryption Technology in Computer Network Information Security

Information security of hospital computer network based on SAE deep neural network

Abstract As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the medical industry. These advanced technologies make medical businesses more and more dependent on industry information and data, which brings about network system security issues that cannot be ignored. To strengthen the daily operation and management of hospitals, ensure the stable operation of computer systems, and do a good job in protecting the security of hospital computer system network information, this paper designs a risk assessment method for hospital computer network information security based on SAE deep neural network and analyzes the main factors affecting the security of hospital computer system network information. The experimental results prove that the proposed method can effectively improve the reliability of the evaluation results and ensure the accuracy of the evaluation results. According to the obtained information security model, it can effectively guide the construction and application of hospital computer network information systems, optimize the system network, and promote the development of hospital informatization.

Computer network security and information security technology optimization by using Bayesian classification algorithm

Computer network security and information security technology optimization by using Bayesian classification algorithm

A novel cyber intrusion detection model based on improved hybrid sampling

The class imbalance of samples of network traffic will cause the poor classification performance of intrusion detection models based on machine learning. To solve this problem, this paper researches sampling algorithm and deep learning for intrusion detection in imbalanced network traffic. This paper proposes a deep recurrent neural network (delayed long short-term memory (DLSTM)) intrusion detection model based on the balanced samples. First, an improved hybrid sampling (IHS) method based on chaotic particle swarm optimization (CPSO) algorithm is proposed as the sampling algorithm to balance the imbalanced samples. Next, a DLSTM with long short-term memory (LSTM) function is proposed to realize high-precision classification of intrusion behaviours. Finally, the method is validated on the standard network traffic dataset. The experimental results show that the DLSTM intrusion detection model based on the IHS method outperforms other comparative models at accuracy. The model is available to the computer network information security defence system.

Computer Network Information Security and Protection Strategy Based on Big Data Environment

This paper proposed a study on computer network information security and protection strategy based on a big data environment. The research purpose was to use big data technology to network information security protection technology and seek more efficient network information protection technology. The algorithm proposed in this article was a time-series network detection algorithm based on big data, which could improve the early warning rate of abnormal network information, reduce the early warning time, and improve the detection accuracy and interception rate of virus information. The results of this study could effectively show that big data technology had excellent performance in computer network information security protection, which also led to an advanced reform path for future network information security protection technology.

Design of Computer Network Security Intrusion Prevention Strategy and Evaluation Algorithm Analysis Technology

With the continuous improvement of global informatization, computer networks have basically reached complete popularization. In today's society, it has become a major application and provides corresponding services for various industries. Therefore, it is necessary to effectively protect various information in the network. Therefore, this article provided a detailed discussion on the problems existing in computer network information security. These issues included their own reasons, hacker intrusion, and spam. Based on this, this article explored computer network information security protection strategies such as deploying data encryption, timely patching system vulnerabilities, and installing firewalls and antivirus software. The experimental results showed that the network output values of the clustering algorithm were: 0.888 for level 1, 0.725 for level 2, 0.678 for level 3, 0.461 for level 4, and 0.211 for level 5. These were all within the scope.

Analysis and Management of Computer Network Information Security

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.

Computer Network Information Security Monitoring System Based on Big Data Era

With the rapid advancement of society and the level of programming and the rapid development of computer technology, networking and information are playing an increasingly important role in the social life of the masses. Creating and developing a network information security monitoring system have become one of the most important ways to keep a computer running smoothly. Traditional information security systems cannot adapt to the ever-changing network environment. If only relying on it to maintain network security, it will be far from effective monitoring and defense. Based on the theory of network information security, this study analyzes the characteristics of network information and the information security monitoring technology at the current stage. Based on the background of big data era, a new type of computer network information security monitoring system is proposed. This system is compared with the traditional network information security monitoring system, and the performance and stability of the system are investigated, respectively. The experimental data show that the network information security monitoring system designed in this study can achieve more than 99% detection rate of external attacks in a network environment with a background traffic of 10M. Its false alarm rate is lower than 4%, and the false alarm rate is lower than 7%. The qualitative mean reaches 93.02%, indicating its good monitoring accuracy and stability. By popularizing it in the current network environment, it can effectively identify and defend information attacks and maintain the development of network information security.

Application Research of Data Encryption Technology in Computer Network Information Security

In order to ensure the rights and interests of computer users, a method of data encryption technology in computer network information security is proposed. According to the symmetric encryption AES algorithm, the ECC system has higher security, slower decoding speed, smaller storage space occupation, and lower bandwidth requirements. The experimental results show that the safety mode length can reach 5 : 1, 6 : 1, 10 : 1 or even 35 : 1. Conclusion. The use of a hybrid cryptosystem based on MD5, AES, and elliptic curve keys can effectively make up for various problems and loopholes encountered in data transmission in current network security, and improve the security of information transmission in today’s social network.

Encryption Technology for Computer Network Data Security Protection

In order to solve the network security problem of data encryption technology, this paper proposes a research method of computer network information security maintenance based on data encryption technology. Taking the network reporting system of a mining enterprise as the research object, this paper comprehensively expounds on the design of network reporting system and data encryption in network communication from the aspects of demand investigation, demand analysis, system design, software system development, and so on and implements the development by using BS architecture + independent client. The experimental results show that the AES algorithm can be independently designated as 128 bits, 192 bits, and 256 bits. Conclusion. This scheme can realize the rapid and safe transmission of data information and provide an effective means for the transmission of confidential documents on the network, so it has a good application prospect.

Application of Data Encryption Technology in Computer Network Information Security

In order to solve the partial optimization problems of the RSA algorithm in computer network security, a method of RSA algorithm optimization based on data encryption was proposed. In the research, the application of data encryption in network information security system was mainly investigated, using RSA as the representative algorithm in the public key cryptosystem. The network information security model on the basis of data encryption was built on the public key cryptosystem in the research. Through the introduction of the RSA algorithm and the corresponding optimization scheme, the experiments for comparison were set up. Through the experiments, the feasibility of the optimization scheme was verified. Experimental results show that the efficiency of the RSA algorithm was about 1.0% to 2% higher than that of the traditional algorithm after a reasonable selection of parameters and the use of an optimized algorithm (also known as the combination algorithm), which improved the efficiency of RSA algorithm to a certain extent and achieved the purpose of improving RSA algorithm. It was proved that the method could effectively improve the budget efficiency of the RSA algorithm and solve the optimization problem of the RSA algorithm in computer network security.

Application of Data Image Encryption Technology in Computer Network Information Security

In order to solve the practical problem that the security of computer network information cannot be guaranteed, which seriously affects the network performance, the author proposes a public key data encryption system based on PKI. The system proposed by the author is based on the public key cryptographic algorithm RSA, including implementation of data encryption and digital signature and key distribution, an improved RSA algorithm is proposed for the slow speed of RSA. The result obtained is as follows: after reasonable selection of parameters and the use of optimized algorithms (also known as combined algorithms), the RSA algorithm is about 1.0% to 2% more efficient than the traditional algorithm, to a certain extent, the operation efficiency of the RSA algorithm is improved, and the purpose of improving the RSA algorithm is achieved. It is proved that the public key data encryption system is of great significance for modern computer network information encryption and maintaining a green and secure network environment.

Research on the Protection of Computer Network Information Security in Power System

Research on the Protection of Computer Network Information Security in Power System

Analysis of Computer Network Information Security and Protection Countermeasures

Analysis of Computer Network Information Security and Protection Countermeasures