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检索条件"机构=State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology"

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Semi-supervised power Microservices Log Anomaly Detection Based on BiLSTM and BERT with Attention

Semi-supervised Power Microservices Log Anomaly Detection Ba...

引用

Advanced Electronics, Electrical and Green Energy (AEEGE), International Conference on

作者： Dai Zaojian Li Yong Chen Mu Chen Liang Fang Wengao Lu Ziang State Grid Smart Grid Research Institute Co. Ltd. State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing China

The software industry has seen a rise in the size and intricacy of software in recent years, leading to a growing concern about how to accurately identify, analyze, and pinpoint abnormal behavior that may occur during system operation. power system microservices are becoming increasingly popular as a way to manage and monitor the complex and distributed attributes of modern power grids. System logs of power system microservices are used to document the status of power system and important occurrences at crucial points in order to help with troubleshooting performance problems and malfunctions, which plays a crucial role in maintaining the stability and reliability of power grids. Traditional anomaly detection methods based on white-box testing require access to the system source code and may not be applicable. Current abnormality detection methods based on system logs primarily focus on extracting log template characteristics, but they pay little attention to the semantic meaning of logs. In order to detect anomalies from system logs more effectively, this work proposes a log execution path anomaly detection method based on Bi-directional Long Short-Term Memory (BiLSTM) with attention. The semantics of log key is also taken into consideration using BERT model for semantic information extraction. Additionally, attention mechanism is used to adjust feature weights at different time steps and select important words. In training phase, a sliding window generates log key sequences from parsed logs to train the model. In detection phase, the model takes as input the parsed log sequence and outputs the probability distribution of the next log key. Experimental results indicate that the proposed method has outperformed conventional approaches on several metrics, including recall rate and F1 score.

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A Zero-Shot Learning-Based Detection Model Against Zero-Day Attacks in IoT

A Zero-Shot Learning-Based Detection Model Against Zero-Day ...

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Electronic technology and Information Science (ICETIS), International Conference on

作者： Xueqin Gao Kai Chen Yufei Zhao Peng Zhang Longxi Han Daojuan Zhang SGRI Power Grid Digitizing Technology Department State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute co. Ltd Beijing China

ISBN: (数字)9798350388343

ISBN: (纸本)9798350388350

With the large-scale deployment of loT devices, loT security faces huge threats from zero-day attacks, and there is an urgent need to conduct research on loT zero-day attack detection technologies. Aiming at the problem of lack of available samples for zero-day attack detection in loT, we propose a zero-day attack detection method based on generative zero-shot learning. Feature extraction is performed based on the LightGBM model, and then multi-layer perceptron is used to generate attribute vectors. We generate pseudo feature space of data category based on conditional variational autoencoders to train zero-day attack detectors. To comply with real attack detection scenarios, we adopt the generalized zero-shot learning method to conduct verification on the UNSW-NB15 data set. Experiment results show that the precision, recall and Fl of most attack types are above 90%. The average accuracy of our method in detecting zero-day attacks is 93.6%, which is much higher than the baseline method and achieve great detection results.

关键词： Information science Accuracy Zero-shot learning Detectors Feature extraction Vectors security

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An Intelligent Multi-Source Data Clustering and Analysis Method for AC/DC Hybrid power grid Planning with Increased Complexity 6

An Intelligent Multi-Source Data Clustering and Analysis Met...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Lan, Tu Zhou, Aihua Diao, Ruisheng Sun, Fangyuan Zeng, Ruiyuan Shen, Xiaofeng Huang, Chenhong Zheng, Zhen ZJU-UIUC Institute Zhejiang University Zhejiang Haining314400 China State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Jiangsu Nanjing210003 China ZJU-UIUC Institute Zhejiang University State Key Laboratory of Clean Energy Utilization Zhejiang Haining314400 China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai201799 China

ISBN: (纸本)9798350346671

In order to better analyze the response characteristics of an AC/DC hybrid power grid with increased complexity following various types of disturbances, this paper proposes an intelligent method for clustering dynamic responses of multi-source data obtained from actual measurements or high-fidelity simulators. Base cases for AC/DC hybrid power grid planning students are created first, and a list of high-impact contingencies is searched using a graph algorithm. Then, the electromechanical-electromagnetic hybrid simulation method is adopted to create multi-source simulation data in terms of dynamic voltage, frequency, etc. An unsupervised learning algorithm and cluster analysis are then conducted to extract key features of dynamic response characteristics of the AC/DC hybrid power grid and create specific cluster labels. Advanced analysis, e.g., fast evaluation of risks from multi-source steady-state data, can then be enabled for further analysis. The proposed approach's effectiveness is verified on the actual AC/DC power grid model in East China. © 2023 IEEE.

关键词： Dynamic response

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Research and Application of Reconfigurable Computing Approaches in power Network security Processing

Research and Application of Reconfigurable Computing Approac...

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New Energy and power Engineering (ICNEPE), International Conference on

作者： Xiaojuan Guan Chen Wang Cheng Zhou Sheng Zhu State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology China Electric Power Research Institute Co. Ltd Nanjing China

ISBN: (数字)9798331516086

ISBN: (纸本)9798331516093

Given the issue that certain key components of the dedicated security protection equipment for the power system rely heavily on large-scale imported FPGA chips and specialized integrated circuits, and mature domestic alternatives and solutions have not yet been formed, this paper proposes the application concept of reconfigurable computing technology in the process of high-performance network security processing. The reconfigurable CGRA chip is led by China, with independently controllable technology, combining energy efficiency and flexibility, enabling efficient processing of computation-intensive tasks and completing the substitution for foreign FPGA chips.

关键词： Computers power engineering Process control Switches Network security Energy efficiency power systems Computational efficiency protection Field programmable gate arrays

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Research on Heterogeneous Computing technology Based on Domestic CPUs and Reconfigurable Chips

Research on Heterogeneous Computing Technology Based on Dome...

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Intelligent power and Systems (ICIPS), International Conference on

作者： Xiaojuan Guan Chen Wang Cheng Zhou Sheng Zhu State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology China Electric Power Research Institute Co. Ltd Nanjing China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

In view of the performance and security problems existing after the replacement of specialized security protection equipment for power grids with domestic software and hardware, and in response to the security protection requirements of different application scenarios, the research on heterogeneous fusion computing technology based on domestic CPUs and reconfigurable chips is proposed. The optimal mapping of national secret algorithms, isolation exchange, protocol processing, and data analysis on reconfigurable chips is realized, supporting the parallel computing of special processors for scene acceleration and domestic CPUs, and meeting the requirements of different network security analysis and computing scenarios in the power system.

关键词： Protocols Program processors Data analysis Software algorithms Heterogeneous networks power grids Hardware Encryption security protection

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Lightweight Blockchain-based Identity Authentication Scheme for power Terminal

Lightweight Blockchain-based Identity Authentication Scheme ...

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Electrical Engineering and Control Science (IC2ECS), International Conference on

作者： Lu Chen Tao Zhang Yuanyuan Ma Zaojian Dai State Grid Smart Grid Research Institute Co. Ltd Nanjing China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing China

In recent years, the construction of the power Internet of Things continues to advance, and the number of power terminal equipment is growing. However, the computing power and storage capacity of these terminal devices are limited, and the current blockchain-based identity authentication scheme has high requirements for computing and storage resources, limiting the participation of power terminal equipment with weak computing power and small storage space. Aiming at the problem that resource-limited power terminal equipment cannot join the blockchain, a lightweight consensus algorithm for power terminals is proposed, and a power terminal authentication scheme based on the lightweight consensus algorithm is designed to make up for the defect that resource-limited power terminal equipment does not support the use of blockchain. The security analysis shows that the scheme can effectively resist many kinds of network attacks and meet the security requirements of power terminal equipment. Performance analysis shows that the scheme has low computation cost and conforms to the principle of lightweight.

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power Internet of Things security Evaluation Method Based on Fuzzy Set Theory 15th

Power Internet of Things Security Evaluation Method Based on...

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15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Wang, Yuman Wu, Hongbin Wang, Yilei Wang, Zixiang Zhu, Xinyue Qian, Kexiang SGRI Power Grid Digitizing Technology Department State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing102200 China Internet Technology Center State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou310000 China School of Computer Science Northeast Electric Power University Jilin Jilin City132012 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100000 China

ISBN: (纸本)9789819994113

Aiming at the problems of high fuzziness and low integrity of the current power Internet of Things network security evaluation index system, the fuzzy set theory is used to evaluate the security issues of power IoT terminal, protocol, strategy, business operation, business management, employee operation and user operation of the power Internet of Things from two aspects of the power Internet of Things itself and manpower, the fuzzy judgment matrix is constructed, and the weight of index items is determined by AHP. To establish a comprehensive and reasonable power Internet of Things safety evaluation index system, overcome the shortcomings of single and quantitative analysis of power Internet of Things network risk, and realize the determination of fuzzy index weight combining quantitative and qualitative, so as to improve the accuracy of power Internet of Things safety evaluation. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Automated security Penetration Testing Based on Machine Learning

Automated Security Penetration Testing Based on Machine Lear...

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Electronic Information Engineering and Computer Communication (EIECC), International Conference on

作者： Peng Zhang Wenhui Wang Daojuan Zhang Hongbin Wu Longxi Han Qi Zhao State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology China Electric Power Research Institute Co. Ltd. Beijing China

ISBN: (数字)9798331534622

ISBN: (纸本)9798331534639

Penetration testing is a crucial measure for preventing cyberspace attacks. Typically, penetration testing is conducted manually, which presents challenges such as reliance on experience, high costs, and low efficiency. This study proposes an automated penetration testing method that integrates machine learning algorithms with Metasploit to achieve low-code generation and execution of penetration testing cases. This approach enhances testing efficiency, reduces costs, and mitigates dependence on experience. The study introduces a decision-making algorithm to facilitate the selection of exploit files during the generation of penetration testing cases and leverages Metasploit to implement basic penetration testing functionalities. Experimental results show that the algorithm achieves an accuracy of 73.16%, and the method successfully meets the objective of automated penetration testing.

关键词： Machine learning algorithms Costs Accuracy Decision making cyberspace Machine learning security Penetration testing Testing

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Containerization of the security Application on Electric power IoT Terminal

Containerization of the Security Application on Electric Pow...

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Information Science, Parallel and Distributed Systems (ISPDS), International Conference on

作者： Tengyan Wang Zhipeng Shao Nige Li Zheng Xu State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid research institute Co. Ltd Nanjing China State Grid Shandong Electric Power Company Jinan China

The development of Internet of Things (IoT) technology brings convenience to the development of the electric power business but also brings security risks. Moreover, owing to the massive heterogeneity of IoT terminals, traditional security protection measures are restricted in terms of deployment, adaptation, operation, maintenance, and other aspects. Docker containers take up fewer resources and are easy to transplant; therefore, they are suitable for deploying secure ap-plications in the IoT computing environment with limited resources and power. This study fo-cuses on the container virtualization technology of the security applications on electric power IoT terminals. We propose a general process for application containerization to standardize the work done in each stage of containerization. The union file system is used to build a multilayer container architecture to reduce resource usage and improve deployment speed. Thus, the secu-rity applications can be run in containers to realize their real-time deployment and real-time op-eration in the heterogeneous intelligent electric power IoT terminals to achieve the security ca-pabilities of on-demand orchestration and timely response of electric power IoT terminals.

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Research on power System cyber security Defense based on ATT&CK Framework

Research on Power System Cyber Security Defense based on ATT...

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Energy Engineering and power Systems (EEPS), International Conference on

作者： Tengyan Wang Yuanyuan Ma Zhipeng Shao Zheng Xu State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd Nanjing China State Grid Shandong Electric Power Company Jinan China

Advanced persistent threat (APT) attack is one of the most serious threats to power system cyber security. ATT&CK framework integrates the known historical and practical APT attack tactics and techniques to form a general language for describing hacker behavior and an abstract knowledge base framework for hacker attacks. Combined with the ATT&CK for ICS framework, this paper combed the known attack techniques used by viruses or hacker groups aimed at cyberattacks on infrastructure, especially power systems. Then found the corresponding mitigations for each attack technique, and merged them. Next, we listed the high frequency and important mitigations for reference. At last, we proposed a cyber security defense model suitable for ICS to provide a reference for security teams on how to apply ATT&CK and other similar cyberattack frameworks.

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