Computer Networks Research Articles

Directions for strengthening the protection of software processing state electronic information resources and used at critical infrastructure facilities

In the modern world, where more and more aspects of our lives become dependent on computer systems and networks, cybersecurity becomes increasingly critical. One of the key elements of cybersecurity is protecting the software used in these systems. Software can contain vulnerabilities that attackers can exploit to gain unauthorized access to systems, data, and resources. These vulnerabilities may arise from coding errors, improper configurations, or inadequate software updates. Attackers continuously refine their methods and tactics not only to exploit software vulnerabilities but also to influence their emergence by targeting the supply chain. This makes software cybersecurity an increasingly complex challenge. This article addresses the pressing issue of cybersecurity in the context of the proliferation of cyberattacks on software, including supply chain attacks. Examples of known cyberattacks targeting the supply chain are provided. The shortcomings in the existing system of standards and rules for secure software development are highlighted, as well as the lack of security requirements and vulnerability management. A comprehensive approach to ensuring software security is proposed, which includes the development of appropriate requirements, standards, and control mechanisms.

Flipped Classroom Learning Model Using a Digital Self-Learning Network Infrastructure Administration

The flipped classroom model has emerged as a significant pedagogical innovation, offering an alternative approach to traditional teaching methods. This model is particularly relevant for vocational education, where practical skills and active learning are critical. Network Infrastructure Administration, a core subject in vocational high schools (SMKs), presents unique teaching challenges that can be addressed through this model. This study aims to develop and evaluate a flipped classroom learning model integrated with a digital self-learning and diagnostic system for vocational high schools' Network Infrastructure Administration course. A mixed-method research design was employed, involving quantitative and qualitative data collection. The study was conducted in several vocational high schools, with participants including teachers and students of the Network Infrastructure Administration course. Tools used included digital self-learning modules and a diagnostic system to continuously assess student performance and provide feedback. The implementation of the flipped classroom model with digital tools resulted in improved student engagement and learning outcomes. Quantitative data showed a significant increase in test scores and practical skill proficiency. Qualitative feedback from both teachers and students indicated higher satisfaction and motivation levels. The developed flipped classroom model, supported by a digital self-learning and diagnostic system, enhances the learning experience and effectiveness of teaching Network Infrastructure Administration in vocational high schools. These findings suggest that integrating technology with innovative pedagogical approaches can significantly improve vocational education. Future research should explore the long-term impact of this model and its applicability to other vocational subjects.

Randomized algorithms in systems without coordination and centralization

Evaluating the complexity of algorithms based only on the possibility of the worst possible variant of the input data is often not justified. The development of algorithms that would predictably work quickly on all possible inputs is of practical importance. If for the problem there is a reasonable opportunity to model the distributions of input values, then you can use probabilistic analysis as a method of developing effective algorithms. When the information about the distribution of input values is not enough for their numerical modeling, algorithms are developed by giving a part of the algorithm itself a random character - randomized algorithms. The use of randomization ensures the operation of the algorithm with minimal needs to store internal states and events in the past, and the algorithms themselves look compact. The paper studies problems for which there are relatively effective deterministic algorithms for solving. But, as will be shown, the construction of appropriate randomized algorithms leads to effective and efficient parallel computing schemes with linear complexity on average. The advantages of randomization are especially evident in the case of large computer systems and communication networks that function without coordination and centralization. Examples of such distributed systems are, in particular, networks of currently popular cryptocurrencies. The use of randomized heuristics allows the system to adapt to changing operating conditions and minimizes the likelihood of conflicts between processes. The paper shows the advantages of using a randomized algorithm over deterministic algorithms for the problem of routing in a network with a hypercube topology. A theorem on estimating the expected number of steps required by Valiant's randomized algorithm to deliver all messages to an address is proved. The expected linear complexity of Valiant's algorithm is a direct consequence of the proven theorem.

Cyberscape: Designing an Escape Room Game with a Computer Network Security Theme to Encourage Understanding of Network Security Concepts Interactively

Network security is a crucial aspect in the IT world, especially the increasing activity of crecker in carrying out attacks without responsibility. cyberscape is an educational game that will be designed to provide a fundamental understanding of the importance of overcoming crecker attacks on the network. The method used in designing this game is the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) approach. In the analysis stage, needs collection and determination of learning objectives are carried out. The design stage includes storyboarding and game design. Characters and other visual elements are designed using pixil art techniques to provide a unique and attractive appearance. The development stage involves creating game content, initial testing, and code implementation using Unity Game Engine integrated with C# programming language. The implementation stage includes the deployment of the game to users. The results showed that "Cyberscape" was effective in improving players' understanding of basic network security concepts. Users reported a significant increase in their knowledge of how to identify and overcome cracker attacks after playing the game. Qualitative and quantitative evaluations showed a high level of satisfaction among users, as well as an increased awareness of the importance of network security. With this approach, it is hoped that "Cyberscape" can be an effective tool in network security education and help reduce vulnerability to cracker attacks.

Revolutionizing Enterprise Network Management: The Role of Ai-Driven Solutions in Modern Computer Networking

Revolutionizing Enterprise Network Management: The Role of Ai-Driven Solutions in Modern Computer Networking

Analysis of the Application of Artificial Intelligence in Computer Network Technology

The application of artificial intelligence (AI) technology in computer network technology is becoming increasingly extensive and in-depth. This paper analyzes the application of artificial intelligence in network security, network management, Internet of Things, edge computing and network services in detail. In network management, AI technology realizes network traffic optimization, automatic configuration and fault prediction, and improves the efficiency of network management. In the field of Internet of Things, AI technology helps manage and analyze a large amount of device data, supporting the development of smart homes and smart cities. In edge computing, AI technology enhances the data processing capabilities of edge nodes and reduces latency. In network services, artificial intelligence technology optimizes routing, voice recognition and personalized recommendation services. However, the application of artificial intelligence in network technology also faces challenges such as data privacy, computing resources and laws and regulations. This paper aims to provide a comprehensive reference for industry insiders to promote the application and development of artificial intelligence technology in computer networks.

Опыт проведения киберучений с использованием разработанного сценария

The threat of cyber attacks has become a serious problem for organizations, the solution of which also lies in the plane of modeling scenarios of possible attacks using digital twin technologies. A cyber polygon based on the AMPIRE software suite is used to study the impact of cyber threats. The attacker's scenario includes the use of various tactics and vulnerabilities, such as active scanning, provisioning, vulnerabilities in public applications, malicious links and files, and compromising domain user accounts. The vector of the malicious attack is related to the tactics, techniques and procedures of the Mitre ATT&CK matrix. Vulnerabilities include the wpDiscuz plugin, Zerologon, and the consequences of using Wordpress Shell and gaining unauthorized access. The ongoing intercollegiate cyber exercises have revealed strengths and weaknesses that need to be taken into account when conducting the following events. Scenario testing with the participation of universities showed the effectiveness of the complex in assessing the time required to close vulnerabilities and eliminate consequences. Implementation of different scenarios with specialized functionality at the cyber polygon makes it possible to form practical skills to prevent attacks on computer networks, and also allows you to analyze the situation, interact with other participating specialists.

Analysis of the Application of Artificial Intelligence in Computer Network Technology

The application of artificial intelligence (AI) technology in computer network technology is becoming increasingly extensive and in-depth. This paper analyzes the application of artificial intelligence in network security, network management, Internet of Things, edge computing and network services in detail. In network management, AI technology realizes network traffic optimization, automatic configuration and fault prediction, and improves the efficiency of network management. In the field of Internet of Things, AI technology helps manage and analyze a large amount of device data, supporting the development of smart homes and smart cities. In edge computing, AI technology enhances the data processing capabilities of edge nodes and reduces latency. In network services, artificial intelligence technology optimizes routing, voice recognition and personalized recommendation services. However, the application of artificial intelligence in network technology also faces challenges such as data privacy, computing resources and laws and regulations. This paper aims to provide a comprehensive reference for industry insiders to promote the application and development of artificial intelligence technology in computer networks.

Design Science for Networks Designing: A Service-Dominant Logic Approach

This research explores the dynamics of coopetition among Small and Medium Enterprises (SMEs) during digital transformation, using Design Science Research (DSR) anchored in Service-Dominant (S-D) Logic. It examines the integration challenges of manufacturing SMEs into digital supply chains, highlighting the critical role of coopetition—a blend of competition and collaboration—in driving sustainable growth in this essential sector. Prompted by a consensus on reducing SME vulnerabilities, the study underscores the need for a resilient framework, especially given an 85% attrition rate in digital networks where only a minority, often supported by giants like Amazon and Microsoft, succeeds long-term. The proposed framework focuses on leveraging technology to enhance SMEs' competitiveness, innovation, and growth. This study contributes to academic discourse by suggesting future research directions, such as defining value creation in coopetition networks and assessing the impact of innovative artefacts, but also reveals the potential of coopetition networks as platforms for mutual value creation. This research enriches scholarly discussions on coopetition in the digital age and offers strategic guidance for SMEs navigating digital transformation, aiming to prepare European SMEs for upcoming challenges and opportunities.

A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks

Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-time resource dispatch approach for burst tasks is developed in this study to address the above problems. The concept of flexibility for edge computing devices is presented, determining the real-time dispatch duration. Real-time resource dispatch and task handling processing are analyzed in detail, considered as task real-time dispatch models, computation process real-time dispatch constraints, and resource limitation constraints. The proposed real-time resource dispatch approach takes full advantage of the transferable characteristics for partial original plan tasks to adjust the pre-scheduled operation plan and release flexible resources for immediate processing of the burst task, completing burst tasks quickly and minimizing the impact for previous planned tasks on the edge computing device. The capability of the proposed method to efficiently deal with the burst tasks is also verified by the case study.

Effective Application of Computer Network Security Technology in E-commerce Operation and Maintenance

As an important part of the modern economy, the security of e-commerce operation and maintenance directly affects the business continuity of enterprises and the trust of users. This paper explores the application of computer network security technology in operation and maintenance, analyzes existing technologies and actual cases, evaluates its effects, and looks forward to future development trends. The paper shows that the use of advanced network security technology can significantly improve the security and reliability of e-commerce systems.IntroductionIt has developed rapidly around the world and has become an important way for people to shop and for enterprises to operate e-commerce. However, the booming development of e-commerce also inevitably brings serious security threats, including data leakage, hacker attacks, and malware. In order to ensure the normal operation of e-commerce systems and the security of user data, the application of computer network security technology is extremely important. This paper aims to systematically explore the actual application effects of these technologies in e-commerce and provide reference for future research and practice.

Effective Application of Computer Network Security Technology in E-commerce Operation and Maintenance

As an important part of the modern economy, the security of e-commerce operation and maintenance directly affects the business continuity of enterprises and the trust of users. This paper explores the application of computer network security technology in operation and maintenance, analyzes existing technologies and actual cases, evaluates its effects, and looks forward to future development trends. The paper shows that the use of advanced network security technology can significantly improve the security and reliability of e-commerce systems.IntroductionIt has developed rapidly around the world and has become an important way for people to shop and for enterprises to operate e-commerce. However, the booming development of e-commerce also inevitably brings serious security threats, including data leakage, hacker attacks, and malware. In order to ensure the normal operation of e-commerce systems and the security of user data, the application of computer network security technology is extremely important. This paper aims to systematically explore the actual application effects of these technologies in e-commerce and provide reference for future research and practice.

Optimizing OSPF Cost Value for Best Path Selection Using Metric-Type Variation

Open Shortest Path First (OSPF) is a multi-vendor routing standard. Any routing protocol's goal is to discover the optimum path between source and destination addresses inside a computer network. Other routing protocols include Routing Information Protocol (RIP), Border Gateway Protocol (BGP), Enhanced Interior Gateway Routing Protocol (EIGRP), and IS-IS. which are also used in computer networking. Each routing protocol has different set of rules through which they calculate the best path selection. OSPF is often used with the combination of these routing protocol because of its flexible design. This research focuses on the implementation of OSPF network cost (metric) value for best path calculation using network simulation tool like GNS3 for getting correct outcome just like a real networking device working in a live production environment. This research would use the different combinations of OSPF cost calculation using metric-types for external routes learned from different routing protocols like RIP. Being able to accurately identify cost (metric) values obtain by testing for OSPF when used with other routing protocols, just like a real-world environment.

RRI Lhokseumawe's Media Convergence in Maintaining Existence in the Digitalization Era

Media convergence presents both a challenge and a necessity for radio media in the digital era, due to the complexity of integrating information and communication technology, computer networks, and media content. RRI must adapt to changes in data usage patterns within society through media convergence to remain competitive and sustain its existence. This study aims to identify the aspects of media convergence at RRI Lhokseumawe that help maintain its presence in the digital era. The research is grounded in media convergence theory by Grant and Wilkinson and employs a qualitative research methodology. Data was collected through interviews, observations, and documentation. The research informants included eight individuals: the director of RRI, and members from the news, broadcasting, new media engineering departments, as well as RRI observers. Descriptive qualitative analysis was used to interpret the data. The stages of data analysis included data reduction, data display, and conclusion drawing/verification. The study found that RRI Lhokseumawe maintained its presence in the digital age by embracing convergence. This convergence was implemented through several channels, such as the website, RRI Go Play, YouTube channel, and RRI Net. As a result of this convergence, access became easier, allowing the public to access and enjoy information through smartphones anytime and anywhere. Additionally, the human resources at RRI Lhokseumawe underwent training to update their skills and abilities to keep pace with current technology.

Crippling Connectivity : Unveiling the Network Disruption Potential of Vehicular Rogue Access Points

Vehicular Networks have transformed modern transportation by facilitating communication between vehicles (V2V) and between vehicles and infrastructure (V2I). Nevertheless, this technical progress brings forth new security risks, including Vehicular Rogue Access Points (VRAPs), which have the potential to disrupt network connectivity and jeopardize the integrity of vehicular networks. This research investigates the menace presented by VRAPs, analyzing their capacity to cause significant disruptions to computer networks. We conduct a thorough analysis to emphasize the methods by which VRAPs can be utilized, the many types of assaults they can enable, and the subsequent consequences for the security of vehicular networks. The results of our research highlight the immediate requirement for strong security measures to protect vehicular network from these types of risks.

Development of Mobile Media Based on Problem-Based Learning in Basic Computer Network Engineering and Communication Subjects

This research aims to develop mobile learning media specifically designed for basic subjects in Computer Network Engineering and Telecommunications to enhance student motivation and learning outcomes. Utilizing the RD (Research and Development) method, the ASSURE model was employed for development. This model includes analyzing learners, stating objectives, selecting instructional methods, media, and materials, utilizing media and materials, requiring learner participation, and evaluating and reinforcing. The mobile media was tested with 36 students from TJKT Vocational High School in Padang. Data collection instruments included validation sheets, practicality questionnaires, student evaluation questions, and student response questionnaires. Results showed a material expert validity of 0.89 and a media expert validity of 0.94, both indicating high validity. Teacher-assessed practicality scored 90.67, while student assessments scored 86.19, both in the very practical category. Effectiveness was determined by student evaluations, with 88.89% of students achieving competency, indicating high effectiveness. The increase in student learning outcomes was significant, with a gain score of 0.74% in the high category. The T-test revealed a significant difference in pretest and posttest learning outcomes (p-value 0.005). In conclusion, the problem-based learning mobile media developed for basic computer network engineering and telecommunications subjects has been validated, deemed practical, and proven effective for learning. Its implementation is expected to boost student engagement, creativity, and learning outcomes, thereby potentially improving the overall quality of education.

Cyber Protection Applications of Quantum Computing: A Review

Quantum computing is a cutting-edge field of information technology that harnesses the principles of quantum mechanics to perform computations. It has major implications for the cyber security industry. Existing cyber protection applications are working well, but there are still challenges and vulnerabilities in computer networks. Sometimes data and privacy are also compromised. These complications lead to research questions asking what kind of cyber protection applications of quantum computing are there and what potential methods or techniques can be used for cyber protection? These questions will reveal how much power quantum computing has and to what extent it can outperform the conventional computing systems. This scoping review was conducted by considering 815 papers. It showed the possibilities that can be achieved if quantum technologies are implemented in cyber environments. This scoping review discusses various domains such as algorithms and applications, bioinformatics, cloud and edge computing, the organization of complex systems, application areas focused on security and threats, and the broader quantum computing ecosystem. In each of these areas, there is significant scope for quantum computing to be implemented and to revolutionize the working environment. Numerous quantum computing applications for cyber protection and a number of techniques to protect our data and privacy were identified. The results are not limited to network security but also include data security. This paper also discusses societal aspects, e.g., the applications of quantum computing in the social sciences. This scoping review discusses how to enhance the efficiency and security of quantum computing in various cyber security domains. Additionally, it encourages the reader to think about what kind of techniques and methods can be deployed to secure the cyber world.

INVESTIGATING VIRUS SPREAD ANALYSIS IN COMPUTER NETWORKS WITH ATANGANA–BALEANU FRACTIONAL DERIVATIVE MODELS

This paper proposes a mathematical model to investigate the dynamic behaviors of a modified computer virus model using the Atangana–Baleanu fractional derivative in the Caputo sense, aiming to elucidate the connection between its parameters and network attributes. By introducing a relatively new numerical method, we address the memory-dependent and nonlocal features of the system. The existence and uniqueness of the model’s solution are confirmed. To explore solution trajectories and assess the impact of various input factors on computer virus dynamics, we employ an efficient numerical technique. Our simulations provide insights into the consequences of fractional order, anti-virus measures, asymptotic fraction, damage rate, and removal rate in the system. These findings illuminate the relationships between model parameters, facilitating the design of networks that minimize the risk of virus outbreaks and prevent future cyber threats. By identifying critical factors involved in the progression of viruses, these results enable the development of more effective defense mechanisms.

Botnets in Healthcare: Threats, Vulnerabilities, and Mitigation Strategies

The increasing digitization of healthcare systems has introduced new opportunities to improve efficiency and accessibility for medical professionals and patients. Examples include the simplified collection, storage, and organization of patient data using electronic health records (EHRs), the use of teleconferencing software like Zoom to allow patients to meet with their care providers remotely, and medical IoT devices like glucose monitors, pacemakers, and other remote patient monitoring devices that leverage software and the internet to provide patients and their healthcare providers with critical information. All of these use cases are examples of how technology can increase the quality of patient care. While the healthcare industry has realized many benefits from its increased investment in new technology, trends have shown that this increased utilization has also opened avenues for malicious cyber actors. One of these threats is botnets. These malicious networks of compromised computers, controlled by cybercriminals, can wreak havoc on all sectors of society, with the healthcare industry proving to be a desirable target. This research is a high-level analysis that investigates the threat botnets pose by employing an exploratory review. We identify the multifaceted nature of botnet threats in healthcare, analyzing their standard forms and the vulnerabilities inherent in healthcare infrastructures, ranging from outdated software to inadequate cybersecurity protocols to poor or total lack of security awareness training for staff. Moreover, the various techniques botnets use to propagate are explored to elucidate the potential points of exploitation and the damage they can cause organizations when proper controls are not implemented. These negative consequences include data breaches, service disruptions, and compromised patient confidentiality, which can endanger medical staff and patients if not addressed. This paper then discusses proven mitigation strategies such as end-user awareness, traffic monitoring, and detection response tools that organizations can employ to reduce the potential and efficacy of such threats. The threat landscape will continue to evolve; however, by staying on top of the latest trends, we can ensure the security of such critical infrastructure and save lives.

How Does Social Media as Tools for Social Movements on Global Issues? A Systematic Literature Review

This study aimed to map the development of research and scientific publications about social movements on social media. This study used the Systematic Literature Review approach to analyze 471 scientific articles that were selected based on the PRISMA procedure. The articles were taken from the Scopus database published in the 2018-2023 period. Cite Space software was used to visualize the data such as topic clusters, authors, and topic trends in the study of social movements on social media. This study reveals that there are ten topic clusters in the study of social movements on social media, namely collective action (#0), long covid (#1), stock market (#2), umbrella movement (#3), social media (#4 ), environmentally-related migration (#5), racial justice (#6), extreme events (#7), influence odoj (#8), sexual abuse (9#), and systems research (10#). Collective action is the most dominant cluster compared to other clusters, which shows that collective action is a general concept used in the study of social movements on social media, which is related to various issues in other clusters, such as Covid-19, politics, racism, and the stock market. Each topic cluster was discussed by many authors with various study focuses, but all authors used the concept of social media as a social movement to explain the issues that were the focus of their respective studies. Trend topics in the study of social movements on social media show that social movements and social media are a unified concept that can be used to explain various issues to study. This research contributes to the development of social movement studies in the digital era, the internet, mobility networks, and artificial intelligence. The limitation of this research is that the data used were from the Scopus database only so the findings cannot fully explain the study of social movements on social media. Therefore, future research needs to use data or references from other reputable databases such as the Web of Science and EBSCO.