A New Model for Network Security Situation Assessment of the Industrial Internet

To address the problem of network security situation assessment in the Industrial Internet,this paper adopts the evidential reasoning(ER)algorithm and belief rule base(BRB)method to establish an assessment model.First,this paper analyzes the influencing factors of the Industrial Internet and selects evaluation indicators that contain not only quantitative data but also qualitative knowledge.Second,the evaluation indicators are fused with expert knowledge and the ER algorithm.According to the fusion results,a network security situation assessment model of the Industrial Internet based on the ER and BRB method is established,and the projection covariance matrix adaptive evolution strategy(P-CMA-ES)is used to optimize the model parameters.This method can not only utilize semiquantitative information effectively but also use more uncertain information and prevent the problem of combinatorial explosion.Moreover,it solves the problem of the uncertainty of expert knowledge and overcomes the problem of low modeling accuracy caused by insufficient data.Finally,a network security situation assessment case of the Industrial Internet is analyzed to verify the effectiveness and superiority of the method.The research results showthat this method has strong applicability to the network security situation assessment of complex Industrial Internet systems.It can accurately reflect the actual network security situation of Industrial Internet systems and provide safe and reliable suggestions for network administrators to take timely countermeasures,thereby improving the risk monitoring and emergency response capabilities of the Industrial Internet.

System Architecture and Key Technologies of Network Security Situation Awareness System YHSAS

Network Security Situation Awareness System YHSAS acquires,understands and displays the security factors which cause changes of network situation,and predicts the future development trend of these security factors.YHSAS is developed for national backbone network,large network operators,large enterprises and other large-scale network.This paper describes its architecture and key technologies:Network Security Oriented Total Factor Information Collection and High-Dimensional Vector Space Analysis,Knowledge Representation and Management of Super Large-Scale Network Security,Multi-Level,Multi-Granularity and Multi-Dimensional Network Security Index Construction Method,Multi-Mode and Multi-Granularity Network Security Situation Prediction Technology,and so on.The performance tests show that YHSAS has high real-time performance and accuracy in security situation analysis and trend prediction.The system meets the demands of analysis and prediction for large-scale network security situation.

A network security situation awareness method based on layered attack graph

The real-time of network security situation awareness(NSSA)is always affected by the state explosion problem.To solve this problem,a new NSSA method based on layered attack graph(LAG)is proposed.Firstly,network is divided into several logical subnets by community discovery algorithm.The logical subnets and connections between them constitute the logical network.Then,based on the original and logical networks,the selection of attack path is optimized according to the monotonic principle of attack behavior.The proposed method can sharply reduce the attack path scale and hence tackle the state explosion problem in NSSA.The experiments results show that the generation of attack paths by this method consumes 0.029 s while the counterparts by other methods are more than 56 s.Meanwhile,this method can give the same security strategy with other methods.

The Change and Posture of the Security Situation in Northeastern Asia

The U. S. war against Iraq has greatly shaken the security situation in different quarters of Northeast Asia, especially North Korea. And the Taiwan Question is another flashpoint in the region. After the U.

Thoroughly Study and Implement a Holistic Approach to National Security to Safeguard Chinese Modernization

2024 marks the tenth anniversary of a holistic approach to national security. As an important component of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, a holistic approach to national security provides fundamental guidance for China's national security work in the new era and is, therefore, of great theoretical and practical significance. This approach has several distinct features: it ref lects the trends of our times, is deeply rooted in China's national culture, and follows a people-centered, struggle-oriented, systematic, st rategic, in novative, and practice-based approach. By upholding and developing a holistic approach to national security, the Central Committee of the Communist Party of China(CPC) has comprehensively strengthened the Party's absolute leadership over national security, reshaped the systems and mechanisms for national security across the board, and made brilliant achievements in national security work in the new era. Given the context of the momentous changes unseen in a century that shape today's world, the national security situation facing China is increasingly complex and grim, characterized by many challenges and new characteristics. On the new journey toward rejuvenating the nation and building China into a strong country, we should fully implement the spirit of the 20th CPC National Congress, firmly pursue a holistic approach to national security, and accelerate the modernization of China's national security system and capacity to ensure steady and sustained progress in Chinese modernization.

Network Security Situation Prediction Based on Improved Adaptive Grey Verhulst Model

Network security situation is a hot research topic in the field of network security. Whole situation awareness includes the current situation evaluation and the future situation prediction. However, the now-existing research focuses on the current situation evaluation, and seldom discusses the future prediction. Based on the historical research, an improved grey Verhulst model is put forward to predict the future situation. Aiming at the shortages in the prediction based on traditional Verhulst model, the adaptive grey parameters and equal- dimensions grey filling methods are proposed to improve the precision. The simulation results prove that the scheme is efficient and applicable.

A new method for the prediction of network security situations based on recurrent neural network with gated recurrent unit

Purpose-The purpose of this paper is to solve the shortage of the existing methods for the prediction of network security situations(NSS).Because the conventional methods for the prediction of NSS,such as support vector machine,particle swarm optimization,etc.,lack accuracy,robustness and efficiency,in this study,the authors propose a new method for the prediction of NSS based on recurrent neural network(RNN)with gated recurrent unit.Design/methodology/approach-This method extracts internal and external information features from the original time-series network data for the first time.Then,the extracted features are applied to the deep RNN model for training and validation.After iteration and optimization,the accuracy of predictions of NSS will be obtained by the well-trained model,and the model is robust for the unstable network data.Findings-Experiments on bench marked data set show that the proposed method obtains more accurate and robust prediction results than conventional models.Although the deep RNN models need more time consumption for training,they guarantee the accuracy and robustness of prediction in return for validation.Originality/value-In the prediction of NSS time-series data,the proposed internal and external information features are well described the original data,and the employment of deep RNN model will outperform the state-of-the-arts models.

Network security situation automatic prediction model based on accumulative CMA-ES optimization

To improve the accuracy of the network security situation, a security situation automatic prediction model based on accumulative data preprocess and support vector machine （SVM） optimized by covariance matrix adaptive evolutionary strategy （CMA-ES） is proposed. The proposed model adopts SVM which has strong nonlinear ability. Also, the hyper parameters for SVM are optimized through the CMA-ES which owns good performance in finding optimization automatically. Considering the irregularity of network security situation values, we accumulate the original sequence, so that the internal rules of discrete data can be revealed and it is easy to model. Simulation experiments show that the proposed model has faster convergence-speed and higher prediction accuracy than other extant prediction models.

International Security Situation in 2019: Peaceful Situation Maintained but Chaos and Crises Emerged Frequently

In the year 2019,the overall situation of world peace and stability remains unchanged.The relationship between major powers is characterized by both increased confrontation and friction,as well as maintained competitive engagement and selective cooperation,and the bottom line of no military conflict and no war is still held between major powers.However,the international security situation in 2019 is full of chaos and frequent crises,which is highlighted in the further increase of global sources of turbulence and risk points,the more complex and severe regional security situation is,and the more difficult the global security governance will be.Political and social unrest in some countries is in danger of spreading to their whole region and even to the entire world.

Observation and Thinking on the Security Situation in Central Asia

Central Asia is one of the regions with weak security in the Eurasian continents,its seemingly calm appearance contains a variety of risks and crises,so it is rather difficult to predict when and how these risks and crises will erupt.Since the collapse of the former Soviet Union,a series of major

A hierarchical algorithm for cyberspace situational awareness based on analytic hierarchy process

The existing network security management systems are unable either to provide users with useful security situation and risk assessment, or to aid administrators to make right and timely decisions based on the current state of network. These disadvantages always put the whole network security management at high risk. This paper establishes a simulation environment, captures the alerts as the experimental data and adopts statistical analysis to seek the vulnerabilities of the services provided by the hosts in the network. According to the factors of the network, the paper introduces the two concepts： Situational Meta and Situational Weight to depict the total security situation. A novel hierarchical algorithm based on analytic hierarchy process （AHP） is proposed to analyze the hierarchy of network and confirm the weighting coefficients. The algorithm can be utilized for modeling security situation, and determining its mathematical expression. Coupled with the statistical results, this paper simulates the security situational trends. Finally, the analysis of the simulation results proves the algorithm efficient and applicable, and provides us with an academic foundation for the implementation in the security situation

A scalable model for network situational awareness based on Endsley＇ s situation model

The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the information of incident frequency, incident time and incident space. The HoneyNet dataset is selected to evaluate the proposed model in the evaluation. The paper proposes three definitions to depict and predigest the whole situation extraction in detail, and a fusion component to reduce the influence of alert redundancy on the total security situation. The less complex extraction makes the situation analysis more efficient, and the fine-grained model makes the analysis have a better expansibility. Finally, the situational variation curves are simulated, and the evaluation results prove the situation model applicable and efficient.

Characteristics of coal resources in China and statistical analysis and preventive measures for coal mine accidents

In the process of green and smart mine construction under the context of carbon neutrality,China's coal safety situation has been continuously improved in recent years.In order to recognize the development of coal production in China and prepare for future monitoring and prevention of safety incidents,this study mainly elaborated on the basic situation of coal resources and national mining accidents over the past five years(2017-2021),from four dimensions(accident level,type,region,and time),and then proposed the preventive measures based on accident statistical laws.The results show that the storage of coal resources has obvious geographic characteristics,mainly concentrated in the Midwest,with coal resources in Shanxi and Shaanxi accounting for about 49.4%.The proportion of coal consumption has dropped from 70.2%to 56%between 2011 and 2021,but still accounts for more than half of the all.Meanwhile,the accident-prone areas are positively correlated with the amount of coal production.Among different levels of coal mine accidents,general accidents had the highest number of accidents and deaths,with 692 accidents and 783 deaths,accounting for 87.6%and 54.64%respectively.The frequency of roof,gas,and transportation accidents is relatively high,and the number of single fatalities caused by gas accidents is the largest,about 4.18.In terms of geographical distribution of accidents,the safety situation in Shanxi Province is the most severe.From the time distribution of coal mine accidents,the accidents mainly occurred in July and August,and rarely occurred in February and December.Finally,the"4+4"safety management model is proposed,combining the statistical results with coal production in China.Based on the existing health and safety management systems,the manage-ments are divided into four sub-categories,and more specific measures are suggested.

Analysis and countermeasures of natural gas development in China

Natural gas has become a transitional bridge from fossil to green and clean energy worldwide.The importance of natural gas utilization in energy structure optimization and green development is no exception for China.However,the supply of China’s natural gas limits the country’s demand with three factors.(1)China’s natural gas resource is relatively rich,but its quality is poor with deep burial depth.Therefore,the annual plateau yield of natural gas cannot be high,with an estimated value of approximately 260-270 x 109 m3.(2)The demand for natural gas in China’s economic development is growing rapidly.The peak demand is estimated to be approximately 550-650 x 109 m3 per year or even higher.The import volume of natural gas will soon exceed that of domestic self-produced gas.(3)Natural gas is a necessity closely related to livelihood.Particularly,a shortage in natural gas supply affects social stability.Therefore,its external dependency should be under 50%and not exceed 60%.In this study,the future situation of China's natural gas is forecasted,and relevant countermeasures and suggestions are proposed in accordance with research on China’s natural gas resource potential,production trend,supplydemand link,and gas supply safety factors.