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

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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...

引用

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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Multi Domain Ontology Model Fusion and Interoperability Method of Digital Twin in Distribution Network 24

Multi Domain Ontology Model Fusion and Interoperability Meth...

引用

Proceedings of the 7th International Conference on Information Technologies and Electrical Engineering

作者： Gang Wang He Wang Min Xu Aihua Zhou Hai Yu Zhonghao Qian State Grid Smart Grid Research Institute CO. LTD Nanjing Jiangsu China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing Jiangsu China State Grid Jiangsu Electric Power Co. Ltd. Nantong Power Supply Branch Nantong Jiangsu China

ISBN: (纸本)9798400707087

The digital twin of distribution network covers models including topology, geography, space, production, operation, control, measurement, marketing, electric field, etc. There is no unified rule framework for multi domain ontology modeling methods, and there is an urgent need for model fusion and comprehensive utilization. This article focuses on the cross domain joint modeling problem of distribution network ontology, conducts research on the fusion method of multi domain ontology models of distribution network digital twins, proposes a multi type model resource fusion and comprehensive utilization method with equipment and facilities as the core, integrates business models and power grid models, studies multi domain ontology model fusion interoperability technology for digital twins, and realizes the comprehensive utilization of distribution network digital twin model resources.

关键词： Digital twin

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Attack-Aware Capability Assessment Method Based on Specific Semantic Search

Attack-Aware Capability Assessment Method Based on Specific ...

引用

International Conference on Electronic Engineering and Informatics (EEI)

作者： Daojuan Zhang Qi Zhao Yuman Wang Shu Li Zheng Tian Yizhen Sun State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute co. Ltd Beijing China Hunan Provincial Key Laboratory of Internet of Things in Electricity State Grid information & Communication Company of Hunan Electric Power Corporation Changsha China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

In this paper, we propose an attack perception capability assessment method based on the specific semantic search for the problem of attack perception capability assessment of security protection equipment for power monitoring systems. The method aims to improve the recognition and localization accuracy of common attacks by accurately correlating the output products of security equipment with the execution of attack test cases. The research employs an attack-specific semantic generation technique that combines attack attribute values with timestamps to form specific semantics for subsequent matching. Pattern matching algorithm, specifically the BM (Boyer-Moore) algorithm, is further utilized to match the specific semantics with the output products of the security device Snort to achieve attack localization. Experimental results demonstrate that Snort exhibits high accuracy in perceiving the majority of attack types and exhibits an enhanced perception rate compared to certain baseline methods. In summary, the method proposed in this paper effectively improves the sensing ability of security equipment to attacks on the power monitoring system and provides a new idea for the performance evaluation of security protection equipment.

关键词： Location awareness Performance evaluation Accuracy Semantic search Sensors security protection Informatics monitoring Pattern matching

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Deep Learning Based Wireless Device Identification Using RF Fingerprint

Deep Learning Based Wireless Device Identification Using RF ...

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Neural Networks, Information and Communication Engineering (NNICE), International Conference on

作者： Ziang Lu Tengyan Wang Xin Liu Nige Li State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing China State Grid Shandong Electric Power Research Institute Jinan China

The wireless network physical layer identity authentication technology has received more and more attention due to its strong resistance to camouflage attacks. This work studies a physical layer method that uses radio frequency fingerprints to distinguish legitimate devices from illegal devices. This paper proposes the constellation trajectory generated by the fusion of three different length differential intervals of short, medium, and long as the device fingerprint to solve the problem that the traditional single differential interval constellation trajectory can not take into account the frequency offset resolution and the application range of frequency offset. The experimental results show that the fingerprint recognition accuracy of devices using multiple differential interval constellation trajectories is better than traditional methods. On this basis, we propose a radio frequency fingerprint identification method based on the twin neural network. Unlike most previous studies that model the identification problem as a classification problem, the algorithm proposed in this paper detects whether the device under test is a legitimate user device and can authenticate the legal device identity. The results show that the radio frequency fingerprint identification method for wireless devices based on the twin neural network can effectively and accurately identify legal users and illegal users.

关键词： Resistance Law Wireless networks Authentication Fingerprint recognition Physical layer Trajectory

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A Physical Fingerprint-Based Intrusion Detection and Localization in Fieldbus Network

A Physical Fingerprint-Based Intrusion Detection and Localiz...

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Artificial Intelligence, Networking and Information technology (AINIT), International Seminar on

作者： Shenjian Qiu Jiaxuan Fei Hao Yang Yongcai Xiao Xiaojian Zhang State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. LTD Nanjing China State Grid Jiangxi Electric Power Research Institute Nanchang China

The security of fieldbus networks is of utmost importance for industrial control systems. Within fieldbus networks, masquerade attacks and illegal device intrusions are two prevalent forms of attacks. The detection of these attacks is particularly challenging due to the sophisticated masquerading and deception techniques employed by attackers. To address the challenges of masquerade attacks and illegal device intrusions in fieldbus networks, this paper presents an intrusion detection and localization method based on physical fingerprints. The method involves constructing a physical fingerprint model for each device by collecting voltage signals transmitted in the fieldbus network and extracting relevant time-domain and frequency-domain features from these signals. Additionally, a predictive score detection mechanism is proposed, incorporating a multi-label SVM classification model to accurately identify masquerade attacks and illegal device intrusions within the network. Furthermore, the method utilizes differential delay features to estimate the location of the illegal intrusion device. To validate the effectiveness of the proposed method, it has been implemented on a CAN bus prototype, providing empirical evidence of its validity.

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Micro-Application security Authentication Based on Key Agreement Hybrid Encryption Algorithm 2

Micro-Application Security Authentication Based on Key Agree...

引用

2nd International Symposium on Computer Applications and Information Systems, ISCAIS 2023

作者： Chen, Lu Chen, Mu Dai, Zaojian Niu, Shuo State Grid Smart Grid Research Institute Co. Ltd. 8 Nanrui Road Jiangsu Nanjing210003 China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology 8 Nanrui Road Jiangsu Nanjing210003 China Broadband Wireless Communication Technology Engineering Research Center of the Ministry of Education Nanjing University of Posts and Telecommunications 66 Xinmofan Road Jiangsu Nanjing210003 China

ISBN: (纸本)9781510666665

With the widespread use of micro-application-based architecture for power mobility, ensuring secure authentication of users has become one of the challenges that cannot be ignored. Based on this, this paper first analyses the primary process and problems of the existing token authentication scheme. Then it proposes the overall architecture and model of secure authentication under this scheme for the security of token communication in the authentication process and uses an improved hybrid encryption algorithm for key agreement to solve the limitations of a single encryption algorithm for encrypting tokens. Finally, it can resist network attacks such as frequent replay and man-in-the-middle after security analysis. Experiments also verify that the scheme can guarantee users’ secure authentication. © 2023 SPIE.

关键词： Authentication

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Research on the Integration and Fusion technology of Distribution Network Data Resources Considering New Energy 23

Research on the Integration and Fusion Technology of Distrib...

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Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering

作者： Junfeng Qiao Aihua Zhou Lin Peng Yiqing Wang Xiaofeng Shen Sen Pan Pei Yang State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. LTD China Xuzhou Power Supply Company of State Grid Jiangsu Electric Power Co. LTD China Qingpu Power Supply Company of State Grid Shanghai Municipal Electric Power Company China

ISBN: (纸本)9798400708299

The essence of the construction and development of new power systems is to improve the functionality and performance of existing power systems, and the distribution network is the key to the functionality of the power system. Therefore, the upgrading and optimization of the distribution network is the key to the success of the modern energy revolution, and the development of the distribution network is also faced with management and technical challenges brought by new equipment and resources. This article proposes a distribution network data resource integration and fusion method that takes into account new energy, integrating the constantly emerging new power equipment and facilities as well as their corresponding data resources into existing power information management systems. Using the integrated distribution network data platform as the data base to support the deepening and development of distribution network business applications. Firstly, the data description characteristics of the new power equipment and facilities are sorted out, and the description rule system is extracted using the methods of power equivalence processing and equipment profiling. Due to the lack of standardized description rules for new energy equipment, it is necessary to reorganize and construct a corresponding description rule system. Then map and correspond its description rules with existing power information description rules, find its mapping method, and build a mapping rule library. Finally, based on the mapping rule library, the fusion of new energy data and existing distribution network data resources is achieved, and the accuracy and applicability of data resource fusion are verified by selecting real data from business application scenarios.

关键词： Application validation Data mapping rules Data resource integration Distribution network New energy

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Research on Accurate Mapping technology of Multimodal Data and Distribution Network Topology 24

Research on Accurate Mapping Technology of Multimodal Data a...

引用

Proceedings of the 7th International Conference on Information Technologies and Electrical Engineering

作者： Gang Wang Meizhao Liu Kai Liu He Wang Pei Yang Lin Peng Hai Yu State Grid Smart Grid Research Institute CO. LTD Nanjing Jiangsu China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing Jiangsu China State Grid Jiangsu Electric Power Co. Ltd. Information and Communication Branch Nanjing Jiangsu China

ISBN: (纸本)9798400707087

The distribution network topology describes the complete architecture of the distribution network from the perspective of the connection relationship between distribution network equipment and facilities, as well as business logic. However, the basic data of multimodal distribution networks mostly describes the concrete entities of the distribution network. Only by effectively associating the two can an accurate panoramic topology of the distribution network be constructed. In response to this issue, this article studies the precise mapping method between multimodal data and distribution network topology. Research is device oriented, utilizing methods such as business identification and expert knowledge correction to establish an accurate mapping network between multimodal data and distribution network topology nodes and edges, achieving precise mapping between multimodal data and distribution network topology. This article is based on graph database technology to study the dynamic tracing method of multi temporal topology in distribution networks, achieving dynamic tracing and switching between multi temporal topology versions in distribution networks, and meeting the multi temporal topology version control requirements of multiple business processes. Compared with traditional relational data models, the distribution network panoramic dynamic topology data model is more in line with the physical form of the distribution network, with low complexity and strong scalability. It can quickly query multi temporal topology dynamics, effectively save topology storage space, and improve the efficiency of topology storage and query.

关键词： Distribution network

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A Searchable power Engineering Design Document Distribution Model based on Alliance Blockchain

A Searchable Power Engineering Design Document Distribution ...

引用

2023 Panda Forum on power and Energy, PandaFPE 2023

作者： Fan, Jia-Yuan Li, Xian-Zhong Gong, Qin Zhao, Jun State Grid Sichuan Province Power Company Information & Communication Company Information Dispatching and Monitoring Center Chengdu China State Grid Sichuan Province Power Company Marketing Department Chengdu China State Grid Sichuan Province Power Company Marketing Service Center Inspection Department Chengdu China Cyber Security College Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798350321173

The design document is an important basis for the establishment, construction and production of power engineering construction. After the power engineering design documents are completed by the design unit, they are usually distributed to other units in the form of printing paper documents and making blueprints. The current method of document distribution has resulted in higher costs of document printing and storage, and the efficiency of document distribution is low. In this paper, a searchable power engineering design file distribution model based on the Alliance chain is stated. It uses the main feature of the blockchain's data tamper-proof technology, and combines the searchable encryption technology to realize the distribution and access management of digital power design files, eliminating the problems of inconsistent file versions and malicious tampering of file contents in the existing design file distribution process. In this model, the feature information ciphertext and keyword index ciphertext of the design file are written into the block data of private chain of design unit, and private chain send transaction to alliance blockchain. At the same time, the design documents are stored in distributed file systems, and the feature information of the documents is compared during the access of the design documents, so that the design documents can be tamper-proof after distribution, and the solution of replacing the paper blueprints with digital design drawings is realized. The model can make the engineering documents have the ability of tamper-proof, and can trace the flow process of the documents. © 2023 IEEE.

关键词： Blockchain

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Multi-Task Terminal Radio Frequency Fingerprint Feature Extraction Framework Based on Shuffle Network

Multi-Task Terminal Radio Frequency Fingerprint Feature Extr...

引用

International Conference on Computer and Communications (ICCC)

作者： Jingqi Hu Tao Zhang Chong Tan Chinese Academy of Sciences Shanghai Institute of Microsystem and Information Technology Shanghai Academy of Sciences University of Chinese Beijing State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd Nanjing

ISBN: (数字)9798331507077

ISBN: (纸本)9798331507084

In the process of extracting and identifying wireless radio frequency signal fingerprints, the hardware differences between devices of the same type are too small to extract sufficiently distinct and effective features. To address this issue, this paper proposes a multi-task terminal radio frequency finger-print feature extraction framework based on a shuffle network, called RFFRe (Radio Frequency Fingerprint Re-identification). This framework can effectively capture the set of features corresponding to the subtle hardware differences from radio frequency signals. The framework employs a ResNet network model, removing the traditional fully connected layer and using the deep network model solely as a feature extractor for radio frequency signals. Additionally, it incorporates a shuffle network to apply additional perturbations to the extracted features, enhancing feature variability. Further, it performs multi-task learning on the perturbed feature space, using metric learning and representation learning to extract the distribution characteristics of feature vectors in the feature space. This compactly clusters intra-class features while improving inter-class discriminability. This model can complete the device registration process with a single training session when new devices are added and achieve quick identification through simple feature similarity comparison during device access. Experimental results show that RFFRe achieves a recognition Rank-1 accuracy of 99.4% on devices of the same type with minimal hardware differences, outperforming similar solutions.

关键词： Representation learning Performance evaluation Accuracy Perturbation methods Computational modeling Fingerprint recognition Feature extraction Multitasking Hardware Object recognition

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