Computer Network Security Problems Research Articles

Analysis of Financial Data Risk and Network Information Security by Blockchain Technology and Edge Computing

To solve the problem of computer network security, this study creatively establishes a new information security (IS) strategy recommendation system and a cooperative intrusion detection system (CIDS) based on blockchain (BC) and edge computing (EC) technologies. The innovation lies in the proposal of the real-time CIDS method. First, the related technologies and theories of the Bayesian network, deep learning (DL), and neural network (NN) are analyzed. Second, a real-time IS strategy recommendation system is constructed using NNs and expert systems, and CIDS is built on BC and DL networks. Finally, experiments compare recurrent NN and long-short term memory (LSTM). The research results reveal that the accuracy of LSTM can reach about 93%. The comparison between the single intrusion detection system (SIDS) and CIDS denotes that CIDS is better than SIDS in detection accuracy, and the specific performance is 97.54% > 91%. The proposed model based on business continuity management can help enterprises better protect financial data and establish a complete protection system of network information security (NIS). In this study, a CIDS with good performance is obtained, which lays a foundation for the further development of the NIS.

A novel MADM technique based on projection methods under q-rung orthopair fuzzy setting and its application to computer network security evaluation

Computer network security evaluation is a basic work to determine the security performance of the network system and implement the network security management. It involves organizational management, network technology, personnel psychology, social environment and other factors. In recent years, with the rapid development of information technology in China, the problem of computer network security has become increasingly prominent. Although domestic and foreign scholars have sought effective methods of network security evaluation from different aspects and using different methods, many factors involved in network security are difficult to quantify, so far, there is no relatively mature quantitative evaluation method of network security. The computer network security evaluation is classical multiple attribute decision making (MADM) problems. In this article, based on projection measure, we shall introduce the projection models with q-rung orthopair fuzzy information. First of all, the definition of q-rung orthopair fuzzy sets (q-ROFSs) is introduced. In addition, to fuse overall q-rung orthopair fuzzy evaluation information, two aggregation operators including q-ROFWA and q-ROFWG operators is introduced. Furthermore, combine projection with q-ROFSs, we develop the projection models with q-rung orthopair fuzzy information. Based on developed weighted projection models, the multiple attribute decision making model is established and all computing steps are simply depicted. Finally, a numerical example for computer network security evaluation is given to illustrate this new model and some comparisons between the new proposed models and q-ROFWA and q-ROFWG operators are also conducted to illustrate advantages of the new built method.

Detection Suspicious Activities on Network Package Traffic

One problem of computer network security was that unauthorized people had access to websites on the internet—the way to interject malicious programs that aim to send viruses and even commit data theft. Therefore, it was critical to understand the types of attacks in the different forms of crime that can not only harm organizational infrastructure but also affect financially. Detection of criminal activities was carried out with the help of Wireshark Software to view data packets, which indicated criminal programs carried out by intruders secretly on the official website. The capture packets on the running network had suspicious packets as evidence that led to malware infections. Therefore, both the owner and website users needed security protection by planning strategies to overcome criminal activities that infect websites.
 Keywords: malicious programs, malware, network package traffic, Wireshark

Neural network based single index evaluation for SQL injection attack detection in health care data

In recent years, there are a lot of security risks in the network, and there is the combination intersection between the computer network security problems and security evaluation. The scale of computer network is very large with vast information, so there are many loopholes in the system network. At present, many have established a computer network security evaluation system to monitor the network security vulnerabilities, viruses, and defects in healthcare. However, many places simply analyzed the risk assessment of network security, but there is no assessment of network security situation. For the network security evaluation system, there is no complete evaluation system of network information security. Therefore, a network security evaluation system must be constructed to develop an effective and practical simulation model of computer network security evaluation. Through the simulation model, the effect of network security can be improved. Since the reform and opening up, the simulation of computer network security evaluation in our country is a new subject. It can directly study the network security evaluation, build a network security evaluation model, and study the network security in detail. In the computer network simulation system, it can analyze, study, design, and plan various stages, so as to play an important role.

Research on Computer Network Security Problems and Countermeasures

With the continuous development of internet, people cannot live without computers and networks. However, in the process of using network, there are often a lot of security problems. This reduces the user’s sense of experience and threatens the security of users’ personal information. This study discusses the importance of computer network security, the specific types of security problems and several effective countermeasures. This provides a basis for the development of computer network security.

Computer Network Security under the Cloud Computing Technology Environment

The development of network technology has changed the traditional network application mode to coordinate all kinds of data and resources effectively. It brings about the improvement of computer computing ability, data processing ability and storage ability, and offers users a new and optimized usage experience by improving the ability of computer network service. However, the construction of cloud computing technology environment also causes people to worry about the network security, and the problem of computer network security under cloud computing technology environment can not be underestimated. The top priority is to speed up the research and development of defense technology, improve the risk response system, consciously enhance the awareness of security protection, and be answerable for dealing with network risk with multi-pronged measures. This work mainly discussed the problems of computer network security under cloud computing technology environment from aspects of encryption technology, authorized accessing, network monitoring, and consciousness awakening, expecting to provide guidance and reference for computer network security response under the background of cloud computing.

Analysis of Network Intrusion Detection Technology Based on Computer Information Security Technology

Data is the basis of information technology security management, with the arrival of the era of big data, computer network security is also facing a lot of challenges, we all know that the network has many characteristics: open, virtual characteristics, which there are a lot of security risks. So we must strengthen the network security analysis, explore the main network security hidden danger, and put forward the corresponding to the computer information network security precautions, now is the information age, big data is the basic characteristic, and the Internet technology widespread application, computer network security problems often appear, often have all kinds of viruses into our computer, so we also want to strengthen the network security management, and puts forward the countermeasures, so as to improve the level of safety in network, strengthen network security protection, it is very important[1].

Research on Computer Network Risk Prevention and Control Technology in the Information Age

With the advancement of global informatization, cyber risk has become an important factor hindering the informatization process, and cyber security issues have become the focus of public attention. Computer network security incidents include viruses, Trojan horses, worms, network monitoring, hacker attacks, malware, phishing, botnets, etc. In order to help netizens to prevent network security incidents more effectively, in response to the characteristics of network risk prevention data management, network Research and design of risk prevention database and data warehouse. At present, the development of computer technology is very rapid, but there are still many problems in the security of computer networks. Therefore, in order to avoid these problems hindering the development of the computer, the author analyses and discusses the technology related to computer network security protection in the information age, hoping to solve the computer network security problems and make the computer network more secure.

Analysis of Computer Network Security Issues in Cloud Computing Environment

Aiming at the computer network security issues in the cloud computing environment, this article outlines the great prospects of cloud computing technology and its significance, and respectively dissects the hidden dangers of computer network security problems under the use of cloud computing and the corresponding solutions. Computer network security issues in computing contribute to the smooth and long-term development of computer network security.

Research on Computer Network Security Problems and Protective Measures under the Background of Big Data

In the information age, human beings have entered the era of big data due to the large-scale data generated every day. Computer networks in people’s lives are very common. In the construction of social infrastructure and economic development, networks and information systems are essential core elements. When a network attack fails due to a malicious attack, it will bring about more serious security accidents, which will make the public interest and the national economy safe. Studying and strengthening the detection of cyberattacks to provide basic security for network infrastructure is the core link to ensure the controllability of core technical equipment and the construction of a national network security system. Therefore, this paper first analyzes big data, network security models and intrusion detection frameworks, and analyzes the key issues facing computer network security under the current circumstances. Protective measures are used to reduce the various security problems caused thereby, to prevent computer users from suffering major losses.

Smart Online Courses Using Computational Intelligence

Computer network security has become an important issue in recent decades, the government and several international organizations have invested in professional education and training for computer network security. In addition, with the increasing incidence of computer network security crimes, the government and several organizations have taken precautions by providing training to students about computer network security. Some parties develop learning models that are suitable for students and find appropriate learning methods to produce professionals in the field of computer network security that is more effective. The purpose of this study is to design a framework-based Learning system in the form of an Adaptive Online Open Course in Computer System Security Subjects for Information Technology (IT) students. The benefits of this framework are to enhance students' skills and abilities in industrial-based computer network security, startup companies and the ability to complete CTF competitions in IT network security. The framework designed is Adaptive in which students learn according to the interests and topics of Computer Network Security. Interest-based on students in completing the pretest per topic. Testing in this study is testing the impact and improvement of students' learning abilities and skills on Computer Security and Security System Competence testing in a small group consisting of 20 students by seeing the success of completing 3 CTF Topics with each topic totaling 100 computer network security problems in the CTF competition, the average validation result was 83.01% and the CTF exam passing rate was 93%

Analysis of Computer Network Security and Preventive Measures in the Data Age

<p>With the development of science and technology, the network in human society continues to be improved and enriched, as well as the ability of database technology, which is of super cloud computing ability and extensive data sharing and brings great convenience to the whole country. But at the same time, the data that is used improperly in the network environment not only poses a certain threat to the network system, but also gradually erodes people's lives. For the computer network security problems in the era of big data, this paper first analyzes the location of the problems, and then puts forward the means to solve and prevent the security problems.</p>

Research on Computer Network Security Policy of Cloud Computing

Cloud computing is a special computing model, which provides growth, use, and delivery services for internet data. In the application of cloud computing technology, the security problems of the computer network in some cloud computing environments gradually appear, resulting in the security troubles of computer network applications. This paper attempts to study the computer network security problems in the cloud computing environment, and proposes the corresponding computer network security strategy, to promote the computer network security, reduce the adverse effects of security problems, for the relevant personnel to provide a reference.

Analysis of Computer Network Security in the Age of Large Data

The arrival of the information age is driving the continuous development of our country’s economy and the continuous transformation of our society. At present, the number of Internet users in our country is increasing rapidly. Smartphones and portable computers have become necessary for people to travel. In the era of big data, the problem of computer network security needs our attention. Technology is a double-edged sword. While bringing convenience to all of us, it also brings a lot of problems, such as telecom fraud, information leakage and other problems about network information security caused public discussion. Therefore, this paper analyzes the problems and solutions of computer network security in the era of large data.

Application of Data Encryption Technology in Computer Network Security

With the development of information technology, the problem of computer network security is becoming more and more prominent. Illegal invasion, information disclosure, virus impact and network vulnerability are all factors that affect computer network security. In order to effectively guarantee the integrity and confidentiality of data and information, people must pay attention to computer network security.

Application of BP Neural Network Model based on Particle Swarm Optimization in Enterprise Network Information Security

The development of network technology has brought convenience to people's life, but also provides the convenience for the virus, Trojan and other destructive programs to attack the network. Then, the computer network security is becoming more and more dangerous. Accurately and scientifically predict the risk of network, it can effectively prevent the risk, and reduce the loss caused by the problem of computer network security. Computer network security is an early warning problem of multi index system. So, the traditional linear forecasting method cannot accurately describe the impact of each index on the evaluation results, and the accuracy of the prediction results is low. In order to improve the prediction accuracy of computer network security, this paper presents a new forecasting method for computer network security. Firstly, the evaluation index of computer network security is selected by expert system, and the weight of evaluation index is determined by the expert scoring method. Secondly, we put the index weight into the BP neural network, and use the BP neural network to learn it. Then, the parameters of BP neural network are optimized by the improved particle swarm optimization algorithm. After that, this paper uses a method based on the Fibonacci method principle to find the number of hidden layer node which has the best fitting ability. Finally, we use this algorithm to predict the network security of a certain enterprise in the next six months. The score is 0.67, 0.84, 0.72, 0.87, 0.86 and 0.91, which is close to the actual value of network security.

Design of Computer Information Network Security System

With the increasingly advanced computer information network, a great convenience for people's daily work and life at the same time, the network security problem arises. Network security is not only related to the enterprises, institutions and social groups, network information security, is also related to the national security and social stability, Involves many disciplines of computer science, network technology, communication technology, security technology and techniques. Solve the problem of computer network security has become the most important research topics in the field of computer science. Starting from the characteristics of the computer information network security and network security factors, a network security system designed set includes virus protection, dynamic password authentication, firewall access control, information encryption, intrusion detection and other protective measures for our computer the improvement and development of the information Network Security provides a useful reference.