Network Situation Research Articles

Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach

Moving target defense (MTD) is an emerging proactive defense technology, which can reduce the risk of vulnerabilities exploited by attacker. As a crucial component of MTD, route mutation (RM) faces a few fundamental problems defending against sophisticated Distributed-Denial of Service (DDoS) attacks: 1) it is unable to make optimal mutation selection due to insufficient learning in attack behaviors and 2) because network situation is time varying, RM also lacks self-adaptation in mutation parameters. In this article, we propose a context-aware Q-learning algorithm for RM (CQ-RM) that can learn attack strategies to optimize the selection of mutated routes. We first integrate four representative attack strategies into a unified mathematical model and formalize multiple network constraints. Then, taking above network constraints into considerations, we model RM process as a Markov decision process (MDP). To look for the optimal policy of MDP, we develop a context estimation mechanism and further propose the CQ-RM scheme, which can adjust learning rate and mutation period adaptively. Correspondingly, the optimal convergence of CQ-RM is proved theoretically. Finally, extensive experimental results highlight the effectiveness of our method compared to representative solutions.

Research on the Application of Computer Network Technology Under the Background of Artificial Intelligence Cloud Technology

On the basis of timely processing of network situation information, effective responses to network attacks with dynamic evolution characteristics are the main problems faced by cyberspace security defines mechanisms. The application of artificial intelligence technology can strengthen the intelligent characteristics of this system. This article mainly starts with the related concepts of artificial intelligence technology and cyberspace defines, and explores the application measures and development trends of this technology in cyberspace security defines.

ICA Based Sensors Fault Diagnosis: An Audio Separation Application

Independent component analysis (ICA) is a well known technique of blind source separation (BSS) and is used in various applications, e.g. speech, biomedical, communication, robotics, leakage detection, vibration analysis and machinery fault diagnosis. The ICA technique estimates the original source signals from the recorded multidimensional mixed signals through various sensors from any physical process. In case one or more sensor becomes faulty the separation of mixed signals becomes very difficult. In machinery, ICA is used to diagnose faults in its rotating parts that is a major concern of public safety. In case of faulty sensors, fault diagnosis becomes difficult. Moreover, in certain situations of wireless sensor networks some of the sensors fail to collect accurate information. Therefore, to collect accurate information in case of sensor failure, fault diagnosis technique is required. In this paper, a sensor fault diagnosis technique called the state observing technique (SOT) is developed to first diagnose faults in the system and then identify the faulty sensors. Also the extended sensor technique (EST) is developed to improve the separation performance of the ICA algorithm in case of faulty sensors based on information provided by the SOT technique. Effectiveness of the proposed SOT–EST technique is evaluated through extensive simulations utilizing the FastICA algorithm of ICA. To the best of our knowledge, we are the first to discuss the sensor fault diagnosis in the ICA applications.

Community Development from the Lens of Social Capital: A Sociological Study of Rupa Rural Municipality of Kaski, Nepal

Social trust and social networks are a common and more valuable phenomenon for the development activities of the rural community in the context of Nepal. However, the development activities of the community are not well perceived from the lens of social trust and social network as it is essential to sustain the development activities. Considering the landscape of social trust and social networks, this study focuses on the situation and effect of social trust and social networks on the development activities at the Rupa Rural Municipality in Kaski. The purpose of this study was to explain the situation of social trust and social networks and also explore interconnection with community-level development interventions. Employing a phenomenological qualitative research design, the primary informations were collected through indepth interviews and recorded informations were transcribed, coded, decoded, analyzed and interpreted. The major thematic aspects such as social trust and social networks of community development have linked with relevant theories. The finding indicate that the development activities of community with their desire and having social trust are found successful. The social networks have played further connective role by interlinking development aspects at community level for sustaining the intervetions of community development. Though the study is limited to Rupa Rural Municipality, it has established the importance of social trust and social networks for community development.

Prediction of rear-end conflict frequency using multiple-location traffic parameters

Traffic conflicts are heavily correlated with traffic collisions and may provide insightful information on the failure mechanism and factors that contribute more towards a collision. Although proactive traffic management systems have been supported heavily in the research community, and autonomous vehicles (AVs) are soon to become a reality, analyses are concentrated on very specific environments using aggregated data. This study aims at investigating –for the first time- rear-end conflict frequency in an urban network level using vehicle-to-vehicle interactions and at correlating frequency with the corresponding network traffic state. The Time-To-Collision (TTC) and Deceleration Rate to Avoid Crash (DRAC) metrics are utilized to estimate conflict frequency on the current network situation, as well as on scenarios including AV characteristics. Three critical conflict points are defined, according to TTC and DRAC thresholds. After extracting conflicts, data are fitted into Zero-inflated and also traditional Negative Binomial models, as well as quasi-Poisson models, while controlling for endogeneity, in order to investigate contributory factors of conflict frequency. Results demonstrate that conflict counts are significantly higher in congested traffic and that high variations in speed increase conflicts. Nevertheless, a comparison with simulated AV traffic and the use of more surrogate safety indicators could provide more insight into the relationship between traffic state and traffic conflicts in the near future.

Practice of generation-grid-load-storage interactive transaction considering clean energy consumption

Jiangsu power exchange center Co., Ltd. actively researches and develops the generation-grid-load-storage interactive trading considering clean energy consumption from the perspective of provincial situation, network situation and market ecology. On the one hand, in view of the future development trend of power grid with the source-grid-load-storage interaction, this paper analyzes the main market exchange demand, puts forward the generation-grid-load-storage power market transaction platform architecture, and expounds the functional module deployment. On the other hand, the Internet is used to collect large-scale and scattered clean energy, energy storage facilities and demand side resource trading demand. Based on the traditional main power market, the paper proposes a sinking market that meets the incentive compatibility principle and promotes the active and deep interaction of regional market entities, three new interactive trading varieties of source grid load and storage, and an overbooking algorithm of air tickets. This paper carry out practice in Huai’an (Jinhu) and Suzhou, and organize formal transaction and settlement.

Research on Computer Information Network Security Technology and Security Precaution Measures Based on Computer

At present, with the continuous development of science and network technology, the development of network brings great convenience to our production and life. Network technology has been widely used in various fields of society, promoting the development and progress of various industries. It can be said that the popularization and development of the Internet has become an indispensable part of our lives. However, under the condition of rapid development and wide application, Internet also brings great troubles. The security of computer information network is concerned by the public, how to better guarantee the security of information. At present, the main reasons affecting the security of computer network are lack of core software technology and lack of security assessment system. It is these factors that make the computer information network can not be used properly. This paper will analyze the security situation of computer information network and put forward corresponding measures.

Research on Related Issues of Accounting Based on the Situation of Computer Network

In recent years, my country’s economic level has been unprecedentedly improved. The development, progress and renewal of some enterprises have also become as calm as no one has come before. It is naturally unrealistic to say that there are no problems during this period. Generally speaking, in the process of development of many enterprises, their financial and accounting related problems have emerged one after another[1]. This can be said to be the backwardness of financial accounting caused by the rapid development of the enterprise, or it can be said to be caused by the immature internal management of the enterprise. For some emerging companies, large-scale asset replacement, new plant construction and infrastructure construction will all pose greater problems for the internal financial management and accounting of the company. On the basis of studying accounting issues, this article will also propose basic strategies for the establishment of financial accounting under the computer network situation.

Application Analysis of Artificial Intelligence in Library Network Security

In the information age, the rapid development of computer network technology and artificial intelligence technology has created conditions for the development of traditional libraries to digital libraries. While computer network technology and artificial intelligence technology continue to promote the development of digital libraries, library network security issues also arise. The purpose of this paper is to explore the application analysis of artificial intelligence technology in library network security. This article puts forward the problem of library network system security, describes the concept and characteristics of library network system security, and aims at the basic factors affecting the security of digital library network system, constructs artificial intelligence-based books from the perspective of management and technology Preventive mechanism for library network system security. In terms of situation prediction, this article uses artificial intelligence technology and analytic hierarchy process to evaluate the network security situation. This method can quickly extract parameters and can quickly evaluate the current network, thereby improving the real-time performance of the situation assessment. The optimized support vector machine method overcomes the subjectivity of support vector machine parameter selection, thereby improving the prediction accuracy of the network security situation. The simulation experiment verifies that the optimized support vector machine prediction model has a higher value for the network security situation. Forecast accuracy. Experimental research shows that the PSO-SVR prediction model used in this article can predict the future situation value relatively closely, help library management network administrators analyze the future network situation, and prompt library management network administrators to adjust defense strategies in time based on threat assessment to maintain library management network Safe and healthy operation.

UDP-Based Active Scan for IoT Security (UAIS)

Today, IoT devices are flooding, and traffic is increasing rapidly. The Internet of Things creates a variety of added value through connections between devices, while many devices are easily targeted by attackers due to security vulnerabilities. In the IoT environment, security diagnosis has problems such as having to provide different solutions for different types of devices in network situations where various types of devices are interlocked, personal leakage of security solutions themselves, and high cost, etc. To avoid such problems, a TCP-based active scan was presented. However, the TCP-based active scan has limitations that it is difficult to be applied to real-time systems due to long detection times. To complement this, this study uses UDP-based approaches. Specifically, a lightweight active scan algorithm that effectively identifies devices using UPnP protocols (SSDP, MDNS, and MBNS) that are most commonly used by manufacturers is proposed. The experimental results of this study have shown that devices can be distinguished by more than twice the true positive and recall at an average time of 1524 times faster than Nmap, which has a firm position in the field.

A Survey on Traffic Management in Software-Defined Networks: Challenges, Effective Approaches, and Potential Measures

Software-defined networks (SDNs), as an emerging paradigm by separating the control plane from the data plane, increases flexibility and network utilization and reduces redundancy and operational cost. Traffic management of software-defined networks can be defined as network traffic monitoring and analyzing measures to improve network performance and quality of service metrics. Traffic management as an effective instrument for optimizing network traffic can offer the appropriate services according to network situation. Due to the inherent characteristics of SDN, special techniques are required to analyze, predict, and adapt the network traffic in order to achieve an efficient traffic management mechanism. This paper surveys traffic management techniques of SDN in four distinct categories including, routing, load balancing, congestion control, and flow control to cover the impressible issues. Moreover, the differences between SDN and traditional networks are analyzed in terms of traffic management necessities across the various groups to further determine the dimensions affecting research in this area. Furthermore, the available algorithms in each group and their role in traffic management are reviewed as well as the research challenges and future trends.

Development of Well-Being Network of Buddhist-Integrated Manner of Five Precepts Village Communities to Reduce Health Risk Behaviors of Youth in Ratchaburi Province

This research aimed to analyze health conditions and trends, develop a creative media model, and develop a well-being network of Buddhist-integrated manner of five precepts village communities to reduce health risk behaviors of youth in Ratchaburi Province. The research methodology is action research based on the research and development (R&D) model. Research tools include in-depth questionnaires, impact factor analysis form, a specific group chat, and performance evaluation form by indicators. The research results were found that 1. Situation and trends of well-being network of Buddhist-integrated manner of the youth of five precepts village communities in Ratchaburi Province, found that the process position in good execution and is likely to be in the right position, take steps to improve, correct, rehabilitate (VW-0) and find ways to further progress. 2. The model of creative media for the well-being of Buddhist-integrated manner in order to reduce health risk behaviors of youth in Ratchaburi province are "creative media, campaign for not smoking, drinking, taking" by the cooperation of the partners. " well-being network of Buddhist-integrated manner of the youth of five precepts village communities in Ratchaburi Province” 3. well-being network of Buddhist-integrated manner of the youth of five precepts village communities in Ratchaburi Province by focusing on the participation process of social institution. It was found that performance evaluation form by indicator “well-being network of Buddhist-integrated manner of youth in the model area, village communities of the well-being of Buddhist-integrated manner, at the village of keeping five precepts, Tao Poon Community, Ratchaburi Province. The overall level was at a high level, when considering each indicator, it was found that the context, inputs, processes, and productivity were at a high level in all indicators.

A network security situation assessment method based on adversarial deep learning

Aiming at the poor performance and flexibility of traditional assessment methods of network security in dealing with a large number of network attack data, this paper proposes a network security situation assessment method based on adversarial deep learning. Firstly, establish the Deep Autoencoder-Deep Neural Network (AEDNN) model based on Deep Autoencoder (DAE) and Deep Neural Network (DNN). Conduct feature learning on the DAE network and apply the DNN network as a network attacks classifier. In the training process, for considering the results of feature learning in DAE, this paper builds an adversarial training process by changing the training weights. Besides, to increase the performance of the model on the minority network attacks, the Under–Over Sampling Weighted (UOSW) algorithm is designed; Finally, conduct model testing and calculate the network security situation value. The compared results of other models show the proposed model is more accurate for identifying network attacks and can evaluate the network situation more comprehensively and flexibly.

Assessing the Security of Campus Networks: The Case of Seven Universities.

The network security situation of campus networks on CERNET (China Education and Research Network) has received great concern. However, most network managers have no complete picture of the network security because of its special management and the rapid growth of network assets. In this investigation, the security of campus networks belonging to seven universities in Wuhan was investigated. A tool called “WebHunt” was designed for campus networks, and with its help, the network security risks were found. Differently from existing tools for network probing, WebHunt can adopt the network scale and special rules of the campus network. According to the characteristics of campus websites, a series of functions were integrated into WebHunt, including reverse resolution of domain names, active network detection and fingerprint identification for software assets. Besides, WebHunt builds its vulnerability intelligence database with a knowledge graph structure and locates the vulnerabilities through matching knowledge graph information. Security assessments of seven universities presents WebHunt’s applicability for campus networks. Besides, it also shows that many security risks are concealed in campus networks, such as non-compliance IP addresses and domain names, system vulnerabilities and so on. The security reports containing risks have been sent to the relevant universities, and positive feedback was received.

RETRACTED ARTICLE: Quantitative situational awareness algorithm of land state network based on neutral statistics

In order to improve the low accuracy of the traditional algorithm, a quantitative land state network situation awareness algorithm based on neutral statistics is proposed. According to the definition of neutral statistical awareness algorithm, the quantitative awareness model of land state cyberspace situation is constructed from the perspectives of attack event and security vulnerability awareness, security situation modeling and associated threat assessment. Determine the malicious nodes, analyze the state function, and design a quantitative perception process. From the simulation results, we can see that the method proposed in this paper can fully adapt to various information processing work, and has the advantages of low computational complexity, short evaluation time, high evaluation accuracy, and the algorithm situation quantitative is basically consistent with the actual value, the error is also less than 0.1, which has good practical application effect.

Research on Interactive Teaching Mode Based on Small Video

Using small videos to complete interactive teaching is a dynamic process, which directly runs through students' learning and life,If students want to carry out learning activities, they must use videos to communicate and exchange information continuously under the network situation. Under the network environment, real-time interactive teaching has its unique advantages and characteristics, which can be mainly reflected in such education and teaching methods,The information is infinitely rich, and under the interaction of video network, the teaching space and time will not be limited, and interactive teaching can complete the effective communication between teachers and students,But now society has entered an information age, and network technology has certain interactivity, controllability and integration,Nowadays, interactive teaching only uses blackboard and chalk compared with the past.

ГИДРОЛОГИЧЕСКИЕ ОСОБЕННОСТИ И ГЕОЭКОЛОГИЧЕСКОЕ СОСТОЯНИЕ МАЛЫХ ВОДОТОКОВ ПОЛЬДЕРНЫХ ТЕРРИТОРИЙ КАЛИНИНГРАДСКОЙ ОБЛАСТИ6

The paper presents the results of research into the hydrological features and geoecological state of small watercourses in the polder territories of the Kaliningrad region. The work is focused on the largest polder massif of the region located on the territory of the Neman lowland in the Slavsky urban district. There was carried out geoecological monitoring of surface watercourses in the following seasons: summer (July 15, 2020), autumn (October 15, 2020), winter (February 3, 2021), and spring (March 27, 2021). For the monitoring we selected watercourses that in their totality could characterize the river network of the polder massif as a whole: the rivers Zlaya, Shlyuzovaya, Nemoninka, and Osa. Subsequently, water samples were taken for hydrochemical analysis, and the hydrometric characteristics of the rivers were measured at background and control points. In order to more objectively characterize the hydrological features of the river network, in addition to the results obtained during the monitoring, we used data on long-term hydrological observations. The research provides information on the state of the watercourses and the influence of anthropogenic and natural factors on them. Monitoring of the geoecological state has shown that they are to a greater or lesser extent susceptible to pollution and, in general, have a ‘bad quality’ water class. The main pollutants identified in the course of research were: nitrites, ammonium, phosphates, total iron, and oil products. There are also inconsistencies with the norms of maximum permissible concentrations in terms of biological consumption of oxygen and dissolved oxygen that are noted during the period of activity of living organisms. The geoecological state was found to be linked to the water regime, weather conditions, natural and agricultural cycles. A non-standard course of the water regime phases was noted, namely: autumn-winter floods, not very pronounced high water, and summer low water. The current situation of the river network can be characterized as unfavorable but still having a potential for correction due to the properly selected environmental protection measures.

Research on neural network in consolidation effect of soft foundation

The method and application situation of neural network is universal application. Datum of project and monitoring from a project of soft foundation by vacuum preloading was filtrated and summarized. After analysis and comparison, establishment of optimization neural network model was used to evaluate the consolidation effect. By the sensitivity of impact factors, it was analyzed that the main parameter of soft foundation consolidation process.

Применение дифференциальных трансформаторов тока утечки в автоматизированной системе предотвращения пожаров в электросети промышленных объектов

Introduction. The occurrence of severe consequences of accidents in the electrical networks of industrial facilities depends on how correctly the automated systems for protection, detection and extinguishing of fire are selected. One of the reasons for the occurrence of a fire hazardous situation in electrical networks is the violation of the insulation and sheath of the electrical cable due to its aging or mechanical damage. Timely detection of the pre-fire state of electrical equipment is ensured by using an automated control system for electrical equipment using a differential leakage current transformer (DLCT). The automated control system for electrical equipment using a differential leakage current transformer is designed for early detection of the location of current leakage in the protected power and (or) lighting group (the electric motor and the power cable supplying it and other parts of the electrical equipment) and the issuance of information to the post with permanent duty personnel. Targets and goals. Improving fire safety of industrial facilities by using an automated control system for electrical equipment using a differential leakage current transformer. Methods. To obtain the results, general scientific and special methods of scientific knowledge were used: analysis, synthesis, generalization, which were based on the provisions of the theory of probability and the theory of reliability. Research results. It is proposed to use DLCT for the protection of high-current electrical receivers in various sections of networks, taking into account selectivity as part of an automated fire prevention system. Conclusions. The use of an automated control system for electrical equipment upon detection of leakage currents makes it possible to: - timely detection of the place of occurrence of leakage currents, detection of the pre-fire condition of electrical cables by leakage currents; - transmission of information about the state of electrical cables to a higher level of the automated control system for electrical equipment; - disconnection of the cable line from power sources and power consumers on command from a programmable controller; - preventing the spread of fire along the cable route and along adjacent structural elements, enclosing structures and technological units; - activation of executive devices by the operator in an automated mode. Key words: accident, analysis, fire, explosion, risk, statistics, reliability, electrical equipment.

The Current Situation of Multiple Markets Network in the Tokyo Metropolitan Central Wholesale Market System

The Current Situation of Multiple Markets Network in the Tokyo Metropolitan Central Wholesale Market System