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Credible Identity Authentication Mechanism of Electric Internet of Things Based on Blockchain 10th

Credible Identity Authentication Mechanism of Electric Inter...

引用

10th International Conference on Computer Engineering and networks, CENet 2020

作者： Wang, Liming Huang, Xiuli Chen, Lei Fan, Jie Zhang, Ming State Grid Jiangsu Electric Power Co. Ltd. Nanjing211106 China State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Co. Ltd. Beijing102200 China

ISBN: (纸本)9789811584619

In order to solve the problems of low authentication efficiency and easy tampering of authentication data in the electric IoT system, this paper proposes the electric IoT based on blockchain. First, the authentication model based on blockchain is proposed, and four key issues are analyzed, such as data security storage, user biometrics extraction, power terminal equipment feature extraction, and authentication key generation, then technical solutions are proposed. Secondly, based on the authentication model, the power terminal registration process, user registration process, and authentication process are proposed. The performance analysis of the authentication mechanism is carried out from four aspects: availability, integrity, privacy and efficiency. The analysis results show that the authentication mechanism proposed in this paper has good performance. Finally, the application scenarios and precautions of the authentication mechanism are analyzed. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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power Grid Disaster Loss information Fusion Analysis and Prediction Technology 5

Power Grid Disaster Loss Information Fusion Analysis and Pre...

引用

5th Annual International Conference on Data Science and Business Analytics, ICDSBA 2021

作者： Xu, Min Yang, Jianhua Yang, Jian Peng, Lin Tang, Shiyang Li, Nige Hou, Zhansheng He, Zhimin Wang, Gang Wang, He Bao, Xingchuan Yu, Hai Zhu, Liang Zhang, Zehao Li, Jing Gu, Tianxiong Yang, Yang Ye, Dailiang Global Energy Interconnection Research Institute Jiangsu Nanjing210003 China State Grid ZheJiang Electric Power Co. LTD Hangzhou Zhejiang310000 China State Grid Key Laboratory of Information Network Security Nanjing210003 China

ISBN: (纸本)9781665445900

After the natural disaster attacks the power grid, a large number of alarm information will flow into the control center, especially when the power grid has complex faults or the automatic device acts abnormally. Because there are some uncertain factors in protection, circuit breaker misoperation, rejection and channel reasons, a kind of disaster assessment method that can realize uncertain information is of great significance. Although the traditional evaluation algorithm based on rough set can deal with uncertain information, it can only deal with discrete data effectively. In practice, there are continuous data and most of them are fuzzy, and the boundary between concepts is not very clear. Fuzzy set can overcome this disadvantage. This paper creatively proposes a method based on intuitionistic fuzzy rough set to evaluate power grid disasters timely and accurately. In the evaluation, attribute filtering and data cleaning are used to reduce the redundancy of disaster attributes;Through value filtering, the evaluation rules are extracted, the disaster level is determined through matching, and adjusted and updated with the development of the situation, so as to provide a scientific basis for emergency decision-making. © 2021 IEEE.

关键词： Disasters

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Trusted Identity Cross-Domain Dynamic Authorization Mechanism Based on Master-Slave Chain 10th

Trusted Identity Cross-Domain Dynamic Authorization Mechanis...

引用

10th International Conference on Computer Engineering and networks, CENet 2020

作者： Huang, Xiuli Guo, Qian Yao, Qigui Huo, Xuesong State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Co. Ltd. Beijing102200 China State Grid Jiangsu Electric Power Co. Ltd. Nanjing211106 China

ISBN: (纸本)9789811584619

In order to solve the security problems existing when power users access power services in different domains, this paper proposes a dynamic authorization model for power users based on master-slave chain. In this model, the slave Blockchain conducts identity authentication in each autonomous domain, and the main Blockchain undertakes identity authentication among autonomous domains. Moreover, by constructing an attribute access control model, a trusted identity cross-domain authorization mechanism is proposed, and an attribute-based allocation strategy in both single-domain and cross-domain scenarios is designed in detail. Through application analysis and security analysis, it is verified that the trusted identity cross-domain authorization mechanism proposed in this paper can be conveniently applied to existing systems, and has better performance in confidentiality, integrity, and availability. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Authorization

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A secret enriched visual cryptography

A secret enriched visual cryptography

引用

11th International Workshop on Digital Forensics and Watermaking, IWDW 2012

作者： Liu, Feng Yan, Wei Q. Li, Peng Wu, Chuankun State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China School of Computing and Mathematical Sciences Auckland University of Technology 1142 New Zealand Department of Mathematics and Physics North China Electric Power University Baoding Hebei 071003 China

ISBN: (纸本)9783642400988

Visual Cryptography (VC) is a powerful technique that combines the notions of perfect ciphers and secret sharing in cryptography with that of raster graphics. A binary image can be divided into shares that are able to be stacked together so as to approximately recover the original image. VC is a unique technique in the sense that the encrypted message can be decrypted directly by the Human Visual System (HVS). The distinguishing characteristic of VC is the ability of secret restoration without the use of computation. However because of restrictions of the HVS, pixel expansion and alignment problems, a VC scheme perhaps can only be applied to share a small size of secret image. In this paper, we propose a general method to let the VC shares carry more secrets, the technique is to use cypher output of private-key systems as the input random numbers of VC scheme, meanwhile the encryption key could be shared, the shared keys could be associated with the VC shares. After this operation, VC scheme and secret sharing scheme are merged with the private-key system. Under this design, we implement a (k,t,n)-VC scheme. Compared to those existing schemes, our approach could greatly enhance the ability of current VC schemes and could cope with pretty rich secrets. © 2013 Springer-Verlag.

关键词： Binary images

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Research on Video Reuse and Structured Spatio-Temporal Big Data Technology Based on 3D Remote Sensing 5th

Research on Video Reuse and Structured Spatio-Temporal Big D...

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5th International Conference on 3D Imaging Technologies-Multidimensional Signal Processing and Deep Learning, 3DIT-MSP and DL 2023

作者： Tan, Haibin Cai, Bin Xue, Yuan Liu, Yiling Jin, Yuxin Wei, Renjia Yu, Hai Xianyang Power Supply Company Shaanxi Electric Power Co Ltd. Shaanxi Xianyang712000 China Power Grid Digitization Technology Research Institute State Grid Smart Grid Research Institute Jiangsu Nanjing210003 China State Grid Key Laboratory of Information and Network Security Nanjing210003 China

ISBN: (纸本)9789819751839

The panoramic twin monitoring and analysis technology based on multi-mode fusion and video recycling is an important means to improve the level of substation equipment status operation and maintenance, production and operation management. Based on the digital twin model, this paper realizes the three-dimensional display of equipment holographic data and the two-way interaction of equipment operating status in the physical world and the digital world, and builds a comprehensive state perception and comprehensive diagnosis for key equipment and components with full dimensions, multiple perspectives, and multiple terminals. Relevant achievements will systematically improve the overall intelligent and digital operation and maintenance management and control level of substations, improve the ability to discover hidden dangers in substation operation defects, improve the practical level of intelligent identification and detection of substation equipment defects, and support the transformation of substation operation and maintenance work models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Three dimensional displays

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Design of power supply system for portable aviation inspection equipment 3

Design of power supply system for portable aviation inspecti...

引用

2023 3rd International Conference on Measurement Control and Instrumentation, MCAI 2023

作者： Yang, Yang Ai, Hao Li, Shibo Xiao, Guokai Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Standard Institute of Emerging Technologies and Innovations Co. Ltd. Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

Given that airborne electronic equipment may have a variety of wiring methods and may encounter a set of systems using multiple power supplies, it is necessary to take some measures on the circuit to ensure the normal work of the power supply and the post-circuit. A portable aviation detection equipment power supply system is designed in this paper. The system supports simultaneous access of two power supplies to identify and judge the input power supply and switch between the battery and the external power supply, effectively avoiding the security risks caused by battery backflow current. The battery power is monitored in real-time through the battery power detection circuit and will be reminded when the battery power is too low. Since the circuit uses a MOS tube to control the switching of the power supply, there is almost no voltage drop loss. In addition, the EMC protection circuit is set up at the power supply side to further improve the safety and reliability of the system. © Published under licence by IOP Publishing Ltd.

关键词： Oscillators (electronic)

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Non-aligned double JPEG compression detection based on refined Markov features in QDCT domain

Non-aligned double JPEG compression detection based on refin...

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作者： Wang, Jinwei Huang, Wei Luo, Xiangyang Shi, Yun-Qing Jha, Sunil Kr. School of Computer and Software Nanjing University of Information Science and Technology NanjingJiangsu China Nanjing University of Information Science and Technology Nanjing China Shanxi Key Laboratory of Network and System Security Xidian University Shanxi China State Key Laboratory of Mathematical Engineering and Advanced Computing ZhengzhouHenan China New Jersey Institute of Technology NewarkNJ United States

Due to the widespread use of the JPEG format, non-aligned double JPEG (NA-DJPEG) compression is very common in image tampering. Therefore, non-aligned double JPEG compression detection has attracted significant attention in digital forensics in recent years. In most of the previous detection algorithms, grayscale images are used directly, or color images are first converted into grayscale images and then processed. However, it is worth noting that most tampered images are color images. To make full use of the color information in images, a detection algorithm, which uses color images directly, is put forward in this paper. The algorithm based on refined Markov in quaternion discrete cosine transform (QDCT) domain is proposed for NA-DJPEG compression detection. Firstly, color information of a given JPEG image is extracted from blocked images to construct quaternion, and then block image QDCT coefficient matrices, including amplitude and three angles (ψ, , and θ) can be obtained. Secondly, the refined Markov features are generated from the transition probability matrix in the corresponding refinement process. Our proposed refinement method not only reduces redundant features but also makes the acquired features more efficient in detection. Therefore, the refined Markov features can not only capture the intra-block correlation between block QDCT coefficients but also improve computing efficiency in real-time. Finally, support vector machine (SVM) method is employed for NA-DJPEG compression detection. The experiment results demonstrate that the proposed algorithm not only make use of color information of images, but also can achieve better detection performance with small size images (i.e., 64 × 64) outperforming state-of-the-art detection methods tested on the same dataset. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Discrete cosine transforms

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Research on the Design of Government Data Governance Evaluation System under the Perspective of Digital Government 9

Research on the Design of Government Data Governance Evaluat...

引用

9th IEEE International Conference on Data Science in Cyberspace, DSC 2024

作者： Xu, Zirui Sun, Jinyang Lu, Zhe Han, Delong Qilu University of Technology Shandong Academy of Sciences Information Research Institute Shandong Academy of Sciences Jinan China SHANDONG SCICOM Information and Economy Research Institute Co. Ltd. Jinan China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China

ISBN: (纸本)9798350391367

In the context of the digital era, government data governance is a key factor in promoting the modernization of government governance, but there is a lack of a complete set of evaluation index system to standardize the content and scope of government data governance. This paper adopts the policy tool theory to code and analyze the 12 policies from the three policy tool dimensions of supply layer, demand layer, and environment layer, and proposes three first-level evaluation indicators of basic environment, actual effectiveness, and safeguard mechanism, on the basis of which the evaluation content is selected in a focused manner based on the integration of policy documents related to data governance. Meanwhile, a comprehensive, scientific and objective evaluation system of government data governance is constructed by adopting assessment means combining subjectivity and objectivity, and quantitative and qualitative. The system is designed to assess and guide the data governance practices of the domestic government, point out the direction for government departments at all levels to carry out data governance, and play an important role in promoting the transparency and efficiency of data management. © 2024 IEEE.

关键词： data governance digital government government information indicator system policy tools

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Research on Classroom Behavior Target Detection Algorithm based on YOLOv7 6

Research on Classroom Behavior Target Detection Algorithm ba...

引用

6th IEEE Advanced information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2024

作者： Qiu, Wenke Wu, Xiaoming Liu, Xiangzhi Computer Science and Qilu University of Technology Shandong Academy of Sciences ShanDong Jinan China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350316520

The integration of video information for the purpose of detecting students' behavior in the classroom, with the aim of enhancing teaching efficiency and maintaining a stable classroom environment, offers significant assistance. However, existing models usually struggle to achieve good accuracy due to the lack of datasets, dense targets, interclass occlusion, and other issues. To address these difficulties, the CD-YOLO classroom behavior detection algorithm is proposed in this paper. And the classroom behavior dataset (DSL-Dataset) is created. We propose a loss function named VAIoU, which can be combined with vector ratio to filter the prediction box. To further improve the detection accuracy of occluded targets, we propose an attention module CM module with command feature fusion. Moreover, in this paper, we improve the convolutional kernel to design a lightweight convolutional kernel FFconv. Experimental results on DSL-Dataset show that CD-YOLO outperforms existing one-stage detection models in terms of detection accuracy. © 2024 IEEE.

关键词： Convolution

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Fairness of Large Music Models: From a Culturally Diverse Perspective 9

Fairness of Large Music Models: From a Culturally Diverse Pe...

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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024

作者： Wang, Qinyuan Gu, Bruce Zhang, He Li, Yunfeng University of Sydney School of Music NSW2008 Australia Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250031 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250031 China CNPIEC KEXIN Ltd. Beijing100020 China

ISBN: (纸本)9798350391367

This paper explores the fairness of large music models in generating culturally diverse musical compositions, emphasizing the need for inclusivity and equity in AI-generated music. By analyzing popular datasets such as the Million Song Dataset and the Lakh MIDI Dataset, we identify a significant underrepresentation of non-Western musical elements. To address this, we adapt existing models to incorporate non-Western scales, rhythms, and instruments. The adapted models demonstrate a substantial improvement in generating culturally diverse music. Using AI-based synthetic listeners, we evaluate the impact of these adaptations on listener perception and engagement. Results indicate that music from the adapted models scores higher in terms of enjoyment, novelty, cultural resonance, and overall engagement compared to the original models. Our findings highlight the importance of cultural diversity in enhancing the user experience and ensuring ethical AI practices. The study also discusses challenges, such as dataset limitations and model adaptation complexity, and suggests directions for future research to further promote fairness and inclusivity in music AI. This work contributes to the development of more culturally aware and representative music generation systems, aiming to enrich the global musical landscape and foster greater appreciation of diverse musical traditions. © 2024 IEEE.

关键词： Adversarial machine learning

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