Optimization Strategy of Computer Network Security Technology in Big Data Environment

With the rapid development of information technology, big data technology has become one of the important pillars of today's society. However, the wide application of big data has also brought more security threats and challenges, among which computer network security has become a focus that needs to be solved urgently. This thesis aims to study the current situation and challenges of computer network security in the context of big data, analyze the advantages and disadvantages of the existing security measures, and put forward improvement programs to better protect computer network security in the era of big data.

Nowadays, the application of the Internet is more and more extensive, but also exposed many problems. Network attacks are gradually penetrating into all kinds of network terminals, and the attack means are more and more sophisticated and covert. Network paralysis, data and user information leakage and other security problems are increasingly prominent. The increasingly dangerous network security situation brings new challenges to the traditional single point and single source security defense system. At the same time, the network crime has caused more and more losses to the personal and property safety of the state, enterprises and citizens. Network security has become the most concerned problem of citizens. In order to clarify the influence of different factors on computer network security, construct effective solutions, and create a more secure environment for the development and expansion of network information technology, this paper analyzes the factors affecting computer network information security based on genetic algorithm, and proposes a BP neural network algorithm based on genetic algorithm optimization, which is used in network security optimization. The experimental results show that the accuracy of BP neural network algorithm optimized by genetic algorithm is as high as 86.5%. The combination of genetic algorithm and neural network can effectively improve the reliability of the network.KeywordsGenetic algorithmComputerNetwork securityApplication research

With the rapid development and application of the computer network technology, computer network system has brought many unsafe hidden dangers to the user. The computer network security has got more and more attentions of people. Therefore, this paper analyzes the main problems in computer network security and proposes some effective preventive measures. The author hopes these will help the computer network plays better role for people.

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.

In the environment of Big Data, database and big data technology are widely used, which provides intellectual impetus and technical support for the innovation of ideological and political work and student work in colleges and universities. In order to innovate the ideological and political system of colleges and universities and optimize the working mode of students, it is necessary to take the advantage of the application of database and big data technology as the basis, and to innovate and reconstruct the ideological and political system of colleges and universities and the working mode of students, we will comprehensively improve the quality of education for our people. Based on the advantages of the application of database and big data technology in ideological and political work and student work in colleges and universities, this paper puts forward some concrete application strategies.

Development and improvement has brought a very great impact to the network technology of the computer, besides the security of the network information has become a focus of the social safety questions.In this paper, through the analysis of security threats to computer network information and protective factors conducted, a strategy for a common computer network information security and protection strategy has been proposed, and useful lessons for our computer network and information security and protection reference have been provided.A series of questions such as security and dependability regarding the computer network system arise, which has been taken into consideration in proposing the strategy.This paper puts forward proposals with respects to the importance of the computer network system, existing problems of the online security of the computer, and precautionary measures.The detailed discussion will help the mass users to become conscious regarding network security and take precautionary measures while using the network.

As one of the pillar industries of China's economic development, the coal industry has been concerned by all circles of society with the continuous development of economy. At the same time, with the development of information data, various fields have changed under the influence of "big data" environment. Based on the definition of big coal enterprise data environment social responsibility scope, on the basis of combing existing problems in the coal enterprise social responsibility information disclosure, and puts forward the measures to help the coal enterprise under the environment of big data maximum fulfill social responsibility.

With the development and popularization of the computer network, the security problem has increasingly become the focus of common concern. The computer network safety problems mainly include: protocol design issues, awareness, management system and technical operation. Hackers on the computer network attack techniques: Deceptive attack, masquerade attacks, vulnerability attack, covert attack and technical attack. Accordingly, we should take the corresponding safety countermeasures: strengthen network security education, using the network protection technology, detection technology and anti-virus technology. This paper mainly analyzes the defects and the security problems of computer network, discusses about the maintenance of computer network security and the way for computer network attack technology defense strategy.

In recent years, with the continuous development of the country’s Internet platforms, China has gradually entered the e-commerce era of national online shopping, and more and more e-commerce platforms and stores have adopted intelligent recommendation systems to increase transaction rates. However, it is not easy for consumers to filter out the products they want from a large amount of information. The emergence of intelligent recommendation systems provides great convenience for people to screen out personalized products that meet their own characteristics. However, the algorithms used in traditional recommendation technology focus on the single-computer environment and do not consider the performance of the recommendation method when distributed parallel processing is required in the big data environment, so it cannot meet the personalized needs of users in the big data environment. Aiming at the new requirements for the development of e-commerce intelligent recommendation technology in the big data environment, this paper uses the big data processing technology based on cloud computing and focuses on the realization technology of the e-commerce intelligent recommendation algorithm and the comprehensive evaluation method of the recommendation system in the big data environment. A prototype system of personalized intelligent recommendation based on cloud computing has been developed, which is of great importance to meet the needs of e-commerce personalized intelligent recommendation in the big data environment, improve the effectiveness, scale, and real-time performance of the personalized intelligent recommendation system, and improve the level of personalized precision marketing., which is of theoretical significance and economic value.

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.

Recently, there has been a lot of room for the security elements of computer networks due to the rapid proliferation of information. Hacking and data breaches are two security dangers that have already inserted themselves into the computer network security framework's jigsaw puzzle. One timely security measure for computer networks is data encryption technology. It reduces security threats and safeguards data availability, confidentiality, and integrity. The research development and application status of computer network security techniques based on data encryption technology were summarized in this paper using the literature review method, which involved evaluating and analyzing pertinent research material from different nations. It also looked at the benefits and importance of data encryption technology in network security, as well as its drawbacks and future directions. According to research, the TLS/SSL protocol raised email confidentiality breaches from 318 to 81 and decreased email integrity breaches from 378 to 73. This implies that our data security can be successfully safeguarded by data encryption technology. It offers a wide range of potential applications to enhance network security performance. The intricacy and speed of encryption algorithms, for example, are some of the drawbacks and restrictions of data encryption technology itself that require further research. Therefore, it is highly justified to investigate data encryption technology for application-based research in the future, bolstering it with this context for ever-increasing security

This study will investigate the security problems that are linked with the Hadoop ecosystem, Big Data, Map Reduce, and cloud computing. The objective of this research is to analyze these concerns. Specifically, the primary emphasis is placed on the security concerns that are linked with big data in cloud computing. Big data applications have a lot to offer organizations, companies, and a broad range of industries, no matter how big or little. There have been issues with Hadoop and cloud computing security, therefore we also look at several possible solutions to these difficulties. The field of cloud computing security is experiencing fast growth in several areas, including computer security, network security, information security, and data privacy. Data, apps, and the infrastructure related to them are greatly helped by cloud computing's use of rules, technologies, controls, and big data tools to keep everything safe. Researchers also anticipate that cloud computing, big data, and their associated benefits will represent the most exciting new areas of study.

Internet big data is related to our personal privacy and property security. In serious cases, it also affects the security of confidential information of related companies. Therefore, big data must be protected to prevent criminals from stealing our personal privacy, property information and corporate secrets. Based on this research background, the paper designs the design of computer network security defines system. After the system design is implemented, the system is tested accordingly. According to the test results, the computer network security defines system designed in this paper can actively detect and effectively prevent security threats in the network, thereby ensuring that the network can Normal and safe operation. The computing network security defines system can also provide effective ideas for future network security protection and achieve further expansion of security defines.

Reviewed by: Computer Network Security and Cyber Ethics H. Frank Cervone Computer Network Security and Cyber Ethics, Joseph Migga Kizza . Jefferson, NC: McFarland, 2006. 223p. $35 (ISBN 0-7864-2595-4) Given the constantly escalating incidents related to security problems in information systems, an updated text on the issues related to the topic should be a welcomed addition to the body of literature. Unfortunately, this second edition of Kizza's Computer Network Security and Cyber Ethics is fundamentally flawed due to the introduction of a biased discussion of morality and ethics. The first edition of this text stood out from the crowd of academic titles due to its use of a simple, down-to-earth style that made it easy for the non-technical person to understand many of the complex issues related to computer and network security. One did not need to be an expert to discover what a "Trojan horse" is, what it does to a computer system, and how it can be detected and prevented. This was one of the reasons the first edition was the 2002 Choice "Outstanding Academic Title." Not unexpectedly, in the second edition the author continues to develop the body of knowledge in the text by adding, expanding, and updating information to explain new and emerging problems. Although this title is primarily positioned as an introductory work, the updated information related to technical issues makes the book relevant to the seasoned professional through its exploration of evolving practice in this quickly changing field. Particularly useful are the new and expanded diagrams, figures, and tables that enhance the overall readability of the book. This is particularly evident in the first chapter, entitled "The Changing Landscape of Cyberspace," which is not new but has been significantly revamped with additional facts and statistics from the last several years. Where the book becomes problematic, however, is in the next three chapters added specifically for this second edition. It is in these chapters, titled "Morality," "Ethics," and "Morality, Technology, and Value" that the bulk of the truly new content lies. However, it is in these chapters that the author veers off into troublesome territory. The second chapter is a relatively brief discussion of morality, moral codes, and moral standards. What is bothersome is its exclusively Christian-centric perspective. After reading this chapter, one would be [End Page 249] under the impression that no other faith tradition than Christianity has anything to say about morality. A more neutral and inclusive perspective on morality, drawing on other faith-traditions and perspectives, is expected in a work of this nature. Far more neutral from a theological perspective, the third chapter on ethics gives a fleeting nod to the ancient Greek ethicists with a quote from Socrates, "The unexamined life is not worth living." However, the truly problematic issues in this work are found in the chapter entitled "Morality, Technology, and Value." Starting out with a brief overview of what advocacy is, the author discusses how the "growth of cyberspace has made a fertile ground for advocacy groups." (p. 33) The irony of this statement has its origins a bit earlier in the chapter in the section entitled "Incomplete or Misleading Information," in which the author cautions the reader about the problems of having to make decisions without complete information. Less than three pages later, the author provides us with recommendations on finding useful advocacy groups including three "renowned advocacy groups for moral issues" such as the Family Research Council, Enough is Enough, and the Christian Coalition. (p. 33) All three of these groups view the world from a strict, fundamentalist Christian religious perspective. Although the technical part of this book is well written and is free of religious bias, it is particularly troubling that in a discussion of morality and ethics the author does not reveal his own significant theological biases or provide alternative points of view. The author severely undercuts his credibility and the value of this work. One would expect a text such as this to be neutral, but it is not. This work is not a balanced discussion of the issues related to ethics and morality as they relate to computer networks. Because of this, it cannot be...

The study of trigonometric relationships is a result of a combination of mathematics and engineering techniques. It plays an important role in computer network systems, and its applications are involved in all aspects of computer network systems, which mainly include data storage, information retrieval, and retrieval. Big data technology can analyze and integrate massive and complex information, make effective use of data, and provide an important basis for computer network security control. At present, traditional encryption algorithms mainly deal with information data through the use of cryptographic theory, but with the progress of the times, there are higher requirements for the security of data for transmission. For instance, cryptography proposes the principle of confidentiality and uses key generation, plain text flow processes, and encryption algorithms to control the flow of ciphertext, all of which require extensive research on network system security. In this paper, we will study the network security control method of a big data model of triangular fuzzy quotient function relationships and build a targeted and widely applicable computer network system security mat system with high practical value. According to the proposed model, it has the highest accuracy at 94.5%, precision at 93.6%, and recall at 93.8. The results obtained demonstrate a noteworthy enhancement in performance when compared to the current techniques.