Development Of Computer Networks Research Articles

Adversarial attacks on GAN-based image fusion

Image fusion has achieved significant success, owing to the rapid development of digital computing and Generative Adversarial Networks (GANs). GAN-based fusion techniques fuse latent codes through spatial or arithmetic operations to achieve real image fusion, facilitated by encoders. However, security concerns have arisen due to the vulnerability of deep neural networks to adversarial perturbations. This vulnerability extends to the GAN-based image fusion task. In this paper, we introduce two methods for creating adversarial examples in the context of GAN-based image fusion: adding subtle perturbations to input images or applying the adversarial patch to the input images. The subtle perturbation is meticulously crafted to be imperceptible yet capable of misleading a specific output, regardless of the input images. Conversely, the adversarial patch is a universal perturbation that, when applied to input images as a patch, induces meaningless output images. Our comprehensive experiments, conducted on datasets such as FFHQ (3 × 1024 × 1024) and Stanford Cars (3 × 512 × 512), include both quality and quantity evaluations. According to our experimental results, the subtle perturbation results in almost identical output images, while the adversarial patch induces meaningless fused images and can be transferred to other datasets. By demonstrating that image fusion models are highly vulnerable to adversarial attacks, this study highlights serious concerns regarding the security of these models.

Gaya Komunikasi Komunitas BRIC Esports dalam Upaya Meningkatkan Efektivitas Strategi Dalam Bermain Mobile Legends

The development of online games itself cannot be separated from the development of computer technology and computer networks themselves. Mobile Legends: Bang Bang is a type of Multiplayer Online Battle Arena (MOBA) game that features 5 vs 5 battles, classic 3 lane battles. The method used in this research uses a qualitative approach as a method or way to achieve research objectives. This research uses a data analysis method that includes reduction and interpretation. Researchers collected data in the field by writing down findings into small notes on observations made and transcribing the results of interviews that have been obtained. This research explains how the BRIC Esports community's communication style in an effort to increase the effectiveness of strategies in playing Mobile Legends. This research is useful to be a reference and information for other communities or organizations in order to be better at choosing communication styles, especially in efforts to increase the effectiveness of strategies in playing Mobile Legends. The results of this study indicate that the communication style of the BRIC Esports community in an effort to increase the effectiveness of strategies in playing Mobile Legends, namely equalitarian style, dynamic style, controlling style, structuring style, and relinguishing style.

Distributed Graph Algorithms: From Local Data to Global Solutions

As data scales increase, traditional centralized graph algorithms struggle to meet modern computational demands. Distributed graph algorithms, which parallelize data processing across multiple computing nodes, have significantly improved the efficiency of handling large-scale graph data. This report explores the principles, application scenarios, key technologies, and challenges of distributed graph algorithms, aiming to provide a comprehensive perspective from local data to global solutions. With the rapid development of computer networks and big data technologies, solving large-scale graph data problems has become a hot research topic. Distributed graph algorithms can solve problems without global information and offer new solutions for processing massive graph structures. This report introduces the basic concepts, key technologies, and challenges of distributed graph algorithms and discusses methods for achieving global solutions starting from local data through case analyses.

Analysis on Modern Application and Development Demand of Electronic Information Engineering

In recent years, there has not been a large-scale promotion of high-precision technology, resulting in the core technology can not be effectively applied in enterprises and related industries still need to further develop electronic information engineering. In this regard, combined with the market economic development situation, intelligence and digitalization has become the main direction of the development of electronic information engineering, through the construction of a perfect information management platform, can make efficient use of resources, a wide range of popularization of science and technology. In the context of the Internet era, people's daily life has changed dramatically, especially the information transmission will become more rapid, efficient and convenient. In the expanding scope of application of computer network technology, can realize the efficient transmission and sharing of information, in the field of electronic information engineering, through the application of computer network technology can effectively ensure the quality of information, and lay a good foundation for the smooth progress of information engineering reform work. In the process of promoting the efficient integration of the two, can make the electronic information engineering needs to be met, which should also increase the integration of resources, computer network technology research and development and application work, so that people's daily lives to enjoy more convenient conditions. The application of digital information processing technology can break through the traditional mode of communication in the application of the process of various shortcomings, prompting the development of digital information engineering more and more rapid. The application of this technology can make all walks of life for information activities to fully meet the needs of all sectors of society, to ensure the smooth and stable information construction activities, so we need to combine the actual situation to further optimize the digital signal construction system, so that it plays a greater role in electronic information engineering. Based on the above situation, this paper focuses on the innovation and development of modern electronic information engineering.

ИССЛЕДОВАНИЕ СТРАТЕГИЙ БЕЗОПАСНОСТИ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ КОМПЬЮТЕРНЫХ СЕТЕЙ

The improvement of computer network technologies has brought convenience to people’s lives. With the growing popularity of Internet users, more attention has been paid to the security of computer networks. The security problems of computer networks are mainly related to the strong development of computer networks, the presence of insecurity and the possibility of disclosure of user information, the occurrence of leaks, intrusion risks and other phenomena. Therefore, we must pay attention to information management of computer networks, strengthen protection and ensure the safety of users during use.

EFFICIENCY OF LOSSLESS DATA COMPRESSION ALGORITHM MODIFICATION

The current level of development of information technologies causes a rapid increase in the amount of information stored, transmitted and processed in computer systems. Ensuring the full and effective use of this information requires the use of the latest improved algorithms for compaction and optimization of its storage. The further growth of the technical level of hardware and software is closely related to the problems of lack of memory for storage, which also actualizes the task of effective data compression. Improved compression algorithms allow more efficient use of storage resources and reduce data transfer time over the network. Every year, programmers, scientists, and researchers look for ways to improve existing algorithms, as well as invent new ones, because every algorithm, even if it is simple, has its potential for improvement. A wide range of technologies related to the collection, processing, storage and transmission of information are largely oriented towards the development of systems in which graphical presentation of information has an advantage over other types of presentation. The development of modern computer systems and networks has influenced the wide distribution of tools operating with digital images. It is clear that storing and transferring a large number of images in their original, unprocessed form is a rather resource-intensive task. In turn, modern multimedia systems have gained considerable popularity thanks, first of all, to effective means of compressing graphic information. Image compression is a key factor in improving the efficiency of data transfer and the use of computing resources. The work is devoted to the study of the modification of the data compression algorithm The Quite OK Image Format, or QOI, which is optimized for speed for the compression of graphic information. Testing of those implementations of the algorithm, which were proposed by its author, shows such encouraging results that it can make it competitive with the already known PNG algorithm, providing a higher compression speed and targeting work with archives. The article compares the results of the two proposed modifications of the algorithm with the original implementation and shows their advantages. The effectiveness of the modifications and the features of their application for various cases were evaluated. A comparison of file compression coefficients, which were compressed by the original QOI algorithm, with such coefficients, which were obtained as a result of the application of modifications of its initial version, was also carried out.

Software implementation of image steganography based on LSB algorithm with Caesar’s cipher

The purpose of this work is to conduct a study of computer steganography methods and the implementation of image steganography using the LSD algorithm and the Caesar cipher. The development of global computer networks allows fast and efficient transfer of electronic documents, but at the same time there is a risk of illegal copying and distribution of materials. Confidentiality of important information is an extremely responsible matter. Therefore, there is a need to develop methods and software tools for hiding information in various types of files, in particular images. Steganography is a mechanism for hiding messages in cloaking objects such as images, audio, text, video, and network protocol so that the hidden message cannot be detected by the naked eye or attackers

PENERAPAN IP VERSI 6 DALAM MEMBANGUN JARINGAN LAN

The development of computer networks is so fast along with technological developments. IPv6 is a new type of IP addressing as a successor to the IPv4 type. This study uses the type of network configuration using IPv6.The application of IPv6 in this computer network configuration is to prove that IPv6 can be used to replace IPv4 in building computer networks. The method used in this research is to conduct a trial with one of the computer network simulation software, namely Cisco Packet Tracer from a network topology that has been designed. This research was carried out through 5 stages as follows: making network design, analysis of network device requirements, conceptual analysis of configuration requirements, software network configuration and network connectivity tests. IPv6 can be used to build networks from the simplest to complex networks including LAN networks. The test results of the two network topology experiments made can be configured using IPv6 and it is proven that all computers connected to the network are all connected (100%) after the connectivity test using the ping utility. IPv6 is recommended to be used along with the increasing use of telecommunications equipment that requires an internet connection.

Application of Artificial Intelligence Technology and Network Technology in Multimedia Courseware Making Course Education

With the continuous advancement of curriculum reform, how to improve the classroom efficiency and optimize the learning classroom model has become a topic of increasing concern for scholars and teachers. With the development and popularization of computer network, distance education has been widely used. It is in this case that the resource library came into being, which provides rich resources for Liu Xiye to make multimedia courseware. The learning of courses plays a fundamental role in education, which is reflected in modern distance education, that is, how to make courseware better. At the same time, online courses are also getting more and more attention from people. Online educators have higher and higher requirements for the design of each part of online courses. How to design feedback in the learning of online courses is also a must for every designer. Based on artificial intelligence education courseware, this paper introduces some audio and video technologies used in making multimedia CAI (computer-assisted instruction) courseware.

Design of College Students' physical health monitoring APP based on sports health big data

AbstractAt present, the living habits of college students are relatively poor, and the amount of exercise is reduced, leading to their physical fitness getting worse and worse. Therefore, people began to study the physical health monitoring of college students. Machine learning and high‐performance computing in medical applications provide technical support for intelligent medical technology. With the rapid development of computer network, human beings have entered the information and digital era, and sports health big data has become more and more popular. The combination of sports health big data and student physical health monitoring technology, in a sense, can realize automatic data processing through intelligent medical and sports health database and other information technologies, thus promoting the popularization of health monitoring technology. However, the current health monitoring equipment has many problems, such as complex collection, low accuracy and limited processing of health data. To solve this problem, this paper developed an Application (APP) based on sports health big data technology that can monitor multiple vital signs such as human heart rate and body temperature, and analyze the physical health of college students, so that college students can easily understand their health status in daily life, so as to promote the healthy development of students' physique and encourage them to actively participate in physical exercise. The experiment proved that, in the heart rate monitoring, when the speed is 6 km/h, the error rate of the college students' physical health monitoring APP designed in this paper is 8.15%. The average accuracy rate of student steps monitoring is 97.12%. This showed the accuracy and availability of the APP's monitoring function for human vital signs. It has certain application value and significance to help students improve their physical quality.

Invulnerability Improvement of Multipath Protocols in Different Scenarios

Developments in computer communications and networks enabled the deployment of exciting new areas. Meanwhile, Efficient network and communication technologies also promote the development of routing protocols. AODV(Ad hoc On-Demand Distance Vector Routing, AODV) routing protocol has invulnerability to different mobile attributes of agent nodes and network damage scenarios. However, this invulnerability performance can not meet the needs of mobile multi-agent cooperative communication. Therefore, this paper proposes an improved responsive multipath routing protocol MD_AODV(Multipath Destroy-resistance AODV, MD_AODV). This routing protocol is based on AODV routing protocol. It is mainly improved in three aspects: multichannel concurrency mechanism, node load balancing mechanism and shortest path maintenance mechanism. Firstly, in this research, an improved multipath routing protocol is modeled and implemented, which is based on OPNET Network simulation platform. Then, network models with different degrees of impairment are built. Combines the mobile attributes of mobile multi-agent task coordination to carry out invulnerability simulation experiments . These experiments study the invulnerability of the improved multipath routing protocol. Finally, this paper evaluates and compares the routing invulnerability of MD_AODV, AODV and AOMDV(Ad-hoc On-Demand Multipath Distance Vector, AOMDV). The evaluation results show that MD_AODV routing has better invulnerability when the network is severely damaged

Design Guideline for Medical Consultation Website for the Elderly

With the development and improvement of computer networks, the online medical consultation is gradually becoming popular. More and more people choose to use online medical consultation to conduct early diagnosis or learn about disease related information and coping methods. The importance of online medical advice has become even greater as the elderly face many health threats and the current pandemic limits people’s normal travel. Many elderly people have pain points with diseases but no place for consultation and purchasing medicine. However, due to the difficulty of using electronic products for the elderly and the lack of design of existing products for the elderly, most older people rarely use online medical services. Most of the existing medical consulting websites lack the elderly centred design, which is inconvenient for the elderly to use in many places. Based on the data statistics and analysis of the questionnaire, user journey chart, pain points and comparative analysis of existing related products, this paper summarizes some reference and guideline during designing website for the elderly in the future.

Research on the Technology of Computer Network Security Protection

The continuous deepening of the number and importance of sensitive and key info stored in computer network system has brought severe challenges to the computer cyber security protection tech. It is urgent to upgrade the cyber security protection, so that it can serve and match the healthy development of computer network. Based on this, this paper first analyses the concept and connotation of computer cyber security, then studies the main content of computer cyber security protection tech, and finally gives the computer cyber security protection measures.

The Effect of Web Augmented Reality on Primary Pupils’ Achievement in English

The massive development of mobile computing and mobile networks attracts developers and researchers to emerge a new direction for augmented reality on the Web. Web augmented reality is inherently considered platform independent, no pre-installation is required, easy to apply, easy to access, and easy to develop. The current study aims to introduce a vision of including Web AR in school instructional material to keep the teaching methods in line with the tremendous technological growth and invest students’ knowledge in this field. The main objective of this study is to develop a QR code-based tracking Web AR application to investigate the effect of Web AR on the achievement of 4th-year primary school pupils in English. The procedure of Web AR application includes two basic steps. Firstly, the convincing Web AR development platform is selected according to three evaluation criteria. Secondly, developing the Web AR with 73 English vocabularies included in the last four units of the Iraqi English pupil’s book. The procedures of the study include; First, a random selection of a sample of pupils and assigning them to experimental and control groups. Second, equalize the elected pupils in the factors that may affect their performance. Then, the control and experimental groups have been taught English for 12 weeks, and finally, three achievement posttests are constructed and applied to the involved groups in order to assess their performance. Having a long period of learning on using Web AR is significant, as the pupils’ tendencies and acceptance of the experiment tools require time and effort.

Application of Multi-objective Differential Evolution Algorithm in Computer Network Intrusion Detection System

With the rise and development of computer networks, network security has become a major issue, and intrusion detection has emerged as a crucial aspect of network security. However, traditional intrusion detection methods suffer from issues like slow detection rates and low accuracy. This necessitates the exploration and development of optimized algorithms for improving intrusion detection efficiency and accuracy. Recently, the multi-objective differential evolution algorithm has shown promising results in the field of intrusion detection. This paper explored the application of the multi-objective differential evolution algorithm in computer network intrusion detection systems. The experimental results on the KDDCUP'99 dataset demonstrated that the algorithm delivers high levels of precision and recall, outperforming other intrusion detection methods. Therefore, combining the multi-objective differential evolution algorithm with traditional intrusion detection methods can lead to significant improvements in intrusion detection efficiency and accuracy. Further optimization of this algorithm can be required to meet complex intrusion detection requirements. The multi-objective differential evolution algorithm presents exciting prospects, which can help enhance the efficiency and accuracy of intrusion detection, and provide strong technical support for ensuring network security and preventing cyber-attacks.

Enhanced Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection

Recent developments in computer networks and Internet of Things (IoT) have enabled easy access to data. But the government and business sectors face several difficulties in resolving cybersecurity network issues, like novel attacks, hackers, internet criminals, and so on. Presently, malware attacks and software piracy pose serious risks in compromising the security of IoT. They can steal confidential data which results in financial and reputational losses. The advent of machine learning (ML) and deep learning (DL) models has been employed to accomplish security in the IoT cloud environment. This article presents an Enhanced Artificial Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection (EAGTODL-CTD) in IoT Cloud Networks. The presented EAGTODL-CTD model encompasses the identification of the threats in the IoT cloud environment. The proposed EAGTODL-CTD model mainly focuses on the conversion of input binary files to color images, where the malware can be detected using an image classification problem. The EAGTODL-CTD model pre-processes the input data to transform to a compatible format. For threat detection and classification, cascaded gated recurrent unit (CGRU) model is exploited to determine class labels. Finally, EAGTO approach is employed as a hyperparameter optimizer to tune the CGRU parameters, showing the novelty of our work. The performance evaluation of the EAGTODL-CTD model is assessed on a dataset comprising two class labels namely malignant and benign. The experimental values reported the supremacy of the EAGTODL-CTD model with increased accuracy of 99.47%.

Wireless Sensor Security Issues on Data Link Layer: A Survey

A computer network can be defined as many computing devices connected via a communication medium like the internet. Computer network development has proposed how humans and devices communicate today. These networks have improved, facilitated, and made conventional forms of communication easier. However, it has also led to uptick in-network threats and assaults. In 2022, the global market for information technology is expected to reach $170.4 billion. However, in contrast, 95% of cyber security threats globally are caused by human action. These networks may be utilized in several control systems, such as home-automation, chemical and physical assault detection, intrusion detection, and environmental monitoring. The proposed literature review presents a wide range of information on Wireless Social Networks (WSNs) and Internet of Things (IoT) frameworks. The aim is first to be aware of the existing issues (issues with traditional methods) and network attacks on WSN and IoT systems and how to defend them. The second is to review the novel work in the domain and find its limitations. The goal is to identify the area’s primary gray field or current research divide to enable others to address the range. Finally, we concluded that configuration. Message Rapid Spanning Tree Protocol (RSTP) messages have higher efficiency in network performance degradation than alternative Bridge Data Unit Protocol (BPDU) forms. The research divides our future research into solutions and newly developed techniques that can assist in completing the lacking component. In this research, we have selected articles from 2015 to 2021 to provide users with a comprehensive literature overview.

Research on the Fusion of Artificial Intelligence and 6G in Computer Network Technology

With the rapid development of information technology, in the 6G era, the popularization and application of artificial intelligence technology has an irreplaceable role in the operation and management of enterprises and the realization of sustainable development. The application in the development of industry, agriculture and other industries has greatly improved production. Efficiency and quality. The development of computer technology has created conditions for the development of artificial intelligence technology. In turn, the innovative development of artificial intelligence has also promoted the development of computer networks to a certain extent. With the advent of the "Internet +" era, computer network technology has had a huge impact on people’s production and life.

Analysis of the Development Trend and Competitive Strategies of Cloud Service Companies - Take Tencent Cloud as an Example

Internet enterprises with the rapid development of computer networks, small and medium-sized enterprises usually can not afford to build and maintain the cost of the server, the cost of using cloud services for large enterprises, security, and post-maintenance is usually more cost-effective than the formation of their servers. The main enterprises in the domestic cloud service market are Alibaba Cloud, Tencent Cloud, Huawei Cloud, and Baidu AI Cloud. Based on market research data, statistical data, and the use of SWOT analysis, this paper analyzes the current situation of the domestic cloud services market and the competitive environment. The study concludes that the current cloud service market is still in the development stage, but due to the rapid development of computer technology and the Internet, future development will accelerate more and more. Cloud service providers should improve service quality and users' consumption experience to protect their market share and prepare for future competition with other cloud service providers.

Special issue on International Conference on Computing and Communication Networks

Special issue on International Conference on Computing and Communication Networks