Situation Awareness Technology Research Articles

Optimal Dispatching Technology of Distributed Power Generation Based on Situation Awareness

The comprehensive utilization of distributed power sources can effectively reduce the consumption of fossil energy and reduce carbon emissions. Based on the situational awareness technology, this paper proposes a distributed power optimization dispatching technology, with the least carbon emission as the optimization goal and meeting the grid load demand as the constraint condition. First, in the situation awareness stage, collect information such as the operation status of the power grid; second, use the data collected by situation awareness to simulate the operation of the power grid in the situation understanding stage to achieve in-depth perception of the power grid; finally, consider the grid operating load in the situation guidance stage Demand adjustment and optimization strategy to realize flexible dispatch and control of the power grid in a favorable direction. This paper takes the IEEE 30-bus system as an example for simulation analysis, and the simulation results verify the effectiveness of the proposed method.

Research on Network Security Situation Assessment Technology Based on Fuzzy Evaluation Method

With the development of Internet technology and the continuous improvement of social informatization, the network has gradually become an indispensable part of people’s production and life. The importance of network security has received more and more attention. A variety of security products have been applied to the network to strengthen and maintain the safe operation of the network. However, these security means can only play a specific role in a certain range, and lack of effective data fusion and collaborative management mechanism. In the face of many scattered information, network security managers cannot respond to security incidents in time. For the purpose of grasping the current situation and changes of network security, network security situation awareness technology came into being, it has become a new hotspot in network security research. This paper proposes a fuzzy comprehensive evaluation model which combines AHP and fuzzy evaluation method to evaluate network security situation.

Retracted] Information Security Situation Awareness Based on Big Data and Artificial Intelligence Technology

The information security threats faced by enterprises are increasing rapidly, and the technology of security attacks is also diversified and developed at a high level. The application of big data technology and artificial intelligence technology in all walks of life continues to deepen. While greatly improving social productivity, it also brings certain information security issues. Security situation awareness technology has become a new research hotspot in the field of network security. Using big data‐related technologies to analyze, filter, merge, and identify known and unknown security threats is a new research discovery. This research builds a new cascaded network security situational awareness model based on the traditional and fusion decision tree algorithms. We use an induction algorithm to generate a decision tree on the preprocessed data to classify the data according to the decision rules. Research shows that a new network security situation awareness model is constructed using decision tree calculations. Compared with the traditional model, the classification effect of this model is better.

Technology Research on Panoramic Situation Awareness of Operation State of Smart Distribution Network

With the increasing complexity of power grid structure, operation scheduling becomes more difficult, and the risk of blackout is also increasing. Therefore, it is particularly important to be able to timely and effectively perceive the security situation of smart power grid. The panoramic situation awareness technology of smart distribution network operation state mainly includes situation detection technology, situation perception technology and situation prediction technology. In the stage of situation detection, the collection and storage points of power big data are analysed from two aspects of internal and external factors, and the security situation evaluation system of power grid is constructed. In the phase of situation perception, HDFS, Hadoop, Hive and other technologies are used to obtain the security situation assessment value of smart grid to realize the comprehensive evaluation of the security situation of power grid. In the phase of situation prediction, a deep neural network model is constructed to complete the panoramic situation prediction of smart grid operation state.

Research on road traffic situation awareness system based on image big data

to promote the construction of intelligent and information technology in the field of road traffic is conducive to the construction of smart cities and the formulation of macro strategies and construction plans for urban traffic development. In view of the shortcomings of the current road traffic system, based on convolution neural network, situation awareness technology, database and other technologies, using CNN, R-CNN, fast R-CNN and fast R-CNN, this paper constructs a deep convolution neural network model based on the big data of road traffic image, and carries out the system demand analysis and system framework design and implementation. Through the analysis of the actual case and the feedback of the trial, the application effect of the road traffic situation awareness system is illustrated, in order to provide scientific reference and basis for the establishment of modern intelligent transportation system

Research on Situation System Based on Big Data Image -- Taking Road Traffic as an Example

In this paper, based on convolution neural network, object class awareness is carried out, Relu is selected as the activation function, which speeds up the training speed and overcomes the problem of gradient disappearance; using situation awareness technology and database technology, all object classes in the image scene are identified, and its location is specified. This paper takes the road traffic situation awareness system as the research object, and analyzes the information collection, processing and analysis process of the road traffic situation awareness system. CNN, R-CNN, Fast R-CNN and Faster R-CNN are used for vehicle classification and location recognition in road image big data.

Network security analysis using big data technology and improved neural network

Network security is an important part of the future information world. The degree of social informatization is maturing and network infrastructure is gradually improving, the network has become an indispensable part of human life. With the frequent occurrence of cyber security incidents around the world, cyber security research has become very important. The amount of network data is huge, and it is necessary to use big data (BD) analysis technology and various machine learning algorithms to analyze and predict the network security (NS) situation. In the NS situation awareness technology, the network behavior and the possible impact are mainly identified by analyzing data records. However, existing NS situation awareness models need to be improved, such as large resource overhead, low accuracy of analysis results, low processing efficiency, and inability to apply to real-time and large-scale scenarios. To solve these shortcomings, a new NS BD analysis model is proposed using improved BP neural network. In the model, data is simplified and cleaned according to the characteristics of the data records, thereby solving the problems of heterogeneous data sources and high noise. With the classic BP neural network as the core of the model, the error inverse feedback strategy of the neural network is used to improve the accuracy of the model analysis. The innovation of this article is that when preprocessing the input data, the proposed blocked fuzzy C-means clustering algorithm (BFCM) is used to cluster the features of the data records to strengthen the features of the data, thereby improving the model's precision. First, the structure of the NS awareness model is introduced in detail, and then the relevant steps in the model are described in detail. Finally, a series of experiments have been performed to verify that the proposed model has certain reference value for the perception of NS situations.

Research on Road Traffic Situation Awareness System Based on Image Big Data

Road traffic is an important component of the national economy and social life. Promoting intelligent and Informa ionization construction in the field of road traffic is conducive to the construction of smart cities and the formulation of macro strategies and construction plans for urban traffic development. Aiming at the shortcomings of the current road traffic system, this article, on the basis of combining convolution neural network, situational awareness technology, database and other technologies, takes the road traffic situational awareness system as the research object, and analyzes the information collection, processing, and analysis process of road traffic situational awareness system. Convolutional neural networks (CNN), region-CNN (R-CNN), fast R-CNN, and faster R-CNN are used for vehicle class classification and location identification in road image big data. The deep convolutional neural network model based on road traffic image big data was further established, and the system requirements analysis and system framework design and implementation were carried out. Through the analysis and trial of actual cases, the results show the application effect of the realized road traffic situational awareness system, which provides a scientific reference and basis for the establishment of modern intelligent transportation system.

Security situation assessment for massive MIMO systems for 5G communications

Abstract MIMO technology is a key technology of 5G, which is widely used in next-generation scenarios such as heterogeneous networks, millimeter-wave networks, and automotive networks. How to build a large-scale MIMO system security situation assessment model for 5G has become the main topic of current concern. This paper analyzes the situational awareness theory of 5g-oriented MIMO system security. Firstly, based on the theory of MIMO system, the influence of MIMO system on 5G network security and the theory of situation awareness technology, the security situation awareness system model of 5g-oriented large-scale MIMO system is constructed. In the security situation assessment section of the MIMO system, according to the rules of evidence reasoning, of different active attack and passive eavesdropping two kinds of empowerment behavior under different attribute data, and then put the empowerment process of average power and large scale attenuation coefficient, interrupt probability, series, and maintain confidentiality gain data as model inputs, such as implementing MIMO system level of situation assessment. In the security situation prediction part of MIMO system, based on the actual situation level of the system as the criterion, 30 sets of experimental simulation data are used to predict the next moment situation level of the MIMO system. In order to verify the stability and validity of the model, MATLAB is used to simulate the experiment. The results show that the mean square error RMSE of different iterations is kept below 0.02, and the TSQ values of both sides are kept below 0.16. The overall prediction effect of the model was good, indicating that the system could provide effective decision support for 5G MIMO security situation prediction

Strategic Implications of the Proliferation of Space Situational Awareness Technology and Information: Lessons Learned from the Remote Sensing Sector

Space situational awareness (SSA) refers to the ability to monitor and understand the state of the space environment, including the ability to track, understand, and predict the location of human-generated and natural objects in orbit around the Earth. This capability is a critical element in attributing and deterring attacks against space assets and in avoiding unintentional collisions. Historically, the United States Department of Defense has operated the most extensive SSA system in the world. Although, in recent years, it has shared data with commercial and foreign users on an ad hoc basis to help avoid collisions, access to the full database is highly restricted. Other nations, including Russia and Europe, have begun to develop or expand independent SSA systems. A number of commercial entities have also begun operating in this area, selling or planning to sell SSA services to satellite operators and governments. There are concerns in the United States about whether this proliferation of SSA technology and information will adversely affect national security, and questions about how the United States should respond to this situation. This article uses the example of remote sensing satellite technology and information, which experienced a similar transition from U.S. and Soviet dominance to participation by a wider range of nations and commercial entities, to identify the key strategic risks and opportunities posed by this trend. I discuss the extent to which these strategic risks and opportunities apply to the proliferation of SSA technology and information, finding that while the same strategic concerns are relevant in this case, typically the risks are lower. There are significant opportunities for the United States to benefit from this proliferation of technology. The article discusses the implications of these findings and offers recommendations that will allow the United States to further decrease the strategic risks associated with this trend, while increasing the benefits.

Discussion on Application of Situation Awareness in Power System

This paper introduces the origin of situation awareness and its application in many fields. Through the analysis the application results in other fields, we conclude that the situation awareness technology can be applied to power system analysis, monitoring distribution operation, disaster warning and so on. It is an indispensable part of the smart grid implementation.

Research of Immune Network Defense System Based on Black Hole Theory

Active defense technology may predict future attack situation and detect unknown attacks, but it has many questions to will be researched: vulnerability, lower mal-ware detection rate, security situation awareness technology has faced problem of inter-organization cooperation, real-time response, correlation analysis, high-load low fault tolerance. Artificial immune technology combines with active defense technology to solve integrated artificial immune security situation awareness system with artificial immune technology and active defense technology by Black Hole theory and for diversification ad development characteristics of the artificial immune and active defense, gives a method about simulating Black Hole accretion theory to achieve absorption and utilization a variety of security and virus technology; a no escaped mechanism simulate the Black Hole; a method about access control method based on Hawking radiation theory. Based on the above work, applies virtual and sandbox technology to achieve network system itself virus immunity, and then that we implement re-engineering and reverse engineering for virus technology in order to study virus and dig more holes, create unified integrated defense tactics, so this defense system will improve ability of situation comprehension, situation prediction and intelligence decision.

Building a Bridge across the Transition Chasm

Best practices for transitioning commercially funded research to operational environments don't always apply to government-funded cybersecurity endeavors due to constraints imposed by government regulations, certifications, and funding cycles. Most approaches for crossing this valley of death have been offered from the perspective of government sponsors and acquisition authorities. This article offers the perspective of an R&D team that has transitioned three cybersecurity situation awareness technologies from early research to installations in the US Department of Homeland Security and Department of Defense. The authors describe the techniques they used to build a bridge across the transition chasm.

A Multi-Level Analysis Framework in Network Security Situation Awareness

Network Security Situation Awareness (NSSA) technology has been extensively studied in multi-data analyzing research these years. In this paper, we use a historical war story to explain the key points in situation awareness, present the conceptualizations and challenges aspects of NSSA, and discuss the methodologies of solving these problems. We provide an evaluation method for network security situation, and represent how to apply this method to NSSA. A multi-level analysis framework for NSSA is presented to demonstrate the advantages and effectiveness by using this method.

On the Relevance of Using Bayesian Belief Networks in Wireless Sensor Networks Situation Recognition

Achieving situation recognition in ubiquitous sensor networks (USNs) is an important issue that has been poorly addressed by both the research and practitioner communities. This paper describes some steps taken to address this issue by effecting USN middleware intelligence using an emerging situation awareness (ESA) technology. We propose a situation recognition framework where temporal probabilistic reasoning is used to derive and emerge situation awareness in ubiquitous sensor networks. Using data collected from an outdoor environment monitoring in the city of Cape Town, we illustrate the use of the ESA technology in terms of sensor system operating conditions and environmental situation recognition.

컨테이너 안전 수송을 위한 센서데이터 기반의 상황 모델링과 상황인식 미들웨어 구현

Currently, the amount of containers is growing up continuously. However, they still depend on humans checking or validating. In this situation, humans must participate in the systems. Situation-awareness technologies allow human participation to be minimized. The situation-awareness technologies provide data or service appropriate to the object`s current state, and the state is recognized automatically by the system. They can automatically execute working processes without human intervention. We suggest a middleware system based on situation-awareness technologies using an ontology for the safety transportation of containers. The middleware is aware of the current state and sends the data required by an application. It can help build new applications by enhancing agility, and it can also support automated service processing by invoking the service required like fire-fighting, fixing container, and so on. Improving transportation of containers process automation with situation-awareness technologies reduces manpower requirements for checking and validating containers, and so saves logistics costs of container transportation.