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An Efficient Anti-Quantum Blind Signature with Forward Security for blockchain-Enabled Internet of Medical Things

Computers, Materials & Continua 2025年第2期82卷 2293-2309页

作者： Gang Xu Xinyu Fan Xiu-Bo Chen Xin Liu Zongpeng Li Yanhui Mao Kejia Zhang School of Information Science and Technology North China University of TechnologyBeijing100144China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China School of Mathematical Science Heilongjiang UniversityHarbin150080China School of Digtial and Intelligence Industry Inner Mongolia University of Science and TechnologyBaotou014010China Institute for Network Sciences and Cyberspace Tsinghua UniversityBeijing100084China Yunnan Key Laboratory of Blockchain Application Technology Kunming650233China Yunnan Innovation Institute of Beihang University Kunming650233China

blockchain-enabled Internet of Medical Things (BIoMT) has attracted significant attention from academia and healthcare organizations. However, the large amount of medical data involved in BIoMT has also raised concerns about data security and personal privacy protection. To alleviate these concerns, blind signature technology has emerged as an effective method to solve blindness and unforgeability. Unfortunately, most existing blind signature schemes suffer from the security risk of key leakage. In addition, traditional blind signature schemes are also vulnerable to quantum computing attacks. Therefore, it remains a crucial and ongoing challenge to explore the construction of key-secure, quantum-resistant blind signatures. In this paper, we introduce lattice-based forward-secure blind signature (LFSBS), a lattice-based forward-secure blind signature scheme for medical privacy preservation in BIoMT. LFSBS achieves forward security by constructing a key evolution mechanism using a binary tree structure. This mechanism ensures that even if future encryption keys are leaked, past data can still remain secure. Meanwhile, LFSBS realizes post-quantum security based on the hardness assumption of small integer solution (SIS), making it resistant to potential quantum computing attacks. In addition, we formally define and prove the security of LFSBS in a random oracle model, including blindness and forward-secure unforgeability. Comprehensive performance evaluation shows that LFSBS performs well in terms of computational overhead, with a reduction of 22%–73% compared to previous schemes.

关键词： Internet of Things blockchain forward-secure blind signature

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Research on carbon accounting and verification technology for power generation industry based on blockchain

Research on carbon accounting and verification technology fo...

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Energy, Power and grid (ICEPG), International Conference on

作者： Tingting Wen Zhe Du Qinglei Guo Xiukui Pan State Grid Blockchain Technology (Beijing) Co. Ltd Beijing China Blockchain Technology Laboratory of State Grid Corporation of China Beijing China State Grid Digital Technology Holding Co. Ltd Beijing China

ISBN: (数字)9798350377798

ISBN: (纸本)9798350377804

The carbon emissions of China’s power generation industry account for more than $\mathbf{4 0 \%}$ of the total, making it the first industry to be included in the national carbon market, and requiring carbon accounting and verification. However, the carbon accounting data has multiple links, diverse sources, and insufficient collection, which faces some problems such as poor reliability and transparency, weak trust transfer among subjects, and lack of data verification technology. blockchain has the characteristics of decentralization, immutability, and transparency, which can provide technical support for credible carbon accounting and verification in the power generation industry. The paper first analyzes the current situation of carbon accounting and verification in the power generation industry and clarifies the technical integration point with blockchain. Then, it proposes a blockchain-based technology route and scheme. Finally, it designs a blockchain-based carbon accounting and verification system architecture and functional modules, proposes key technologies, and conducts experimental verification.

关键词： Industries Scalability Systems architecture Focusing Carbon dioxide Quality control blockchains Reliability Carbon Power generation

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The Specification of blockchain Oracle System 24

The Specification of Blockchain Oracle System

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24th IEEE International Conference on Mobile Data Management, MDM 2023

作者： Li, Jie Hu, Kai Wan, Ji Zhan, Wenhao Zou, Yidan Ai, Yuan Gao, Liping Yin, Yujun State Key Laboratory of Software Development Environment Beihang University Beijing China School of Information Beijing Wuzi University Beijing China Yunnan Key Laboratory of Blockchain Application Technology Beihang Yunnan Innovation Institute Kunming China Yunnan Power Grid Co. Ltd China

ISBN: (纸本)9798350341010

blockchain applications, especially DeFi, frequently require off-chain data through oracles. Distributed oracles have higher security, but the system is also more complex. This paper designs a unified formal description method for the communication process, security protocol, data aggregation and other related procedures and protocols of the oracle. This method has no ambiguity and has a high logical description ability. Therefore, it has good convertibility with Event-B and some other formal verification tools, as well as logic methods such as first-order logic, set theory, and CTL, which can provide a basis for technical personnel to establish formal models, protocol development, and implementation. The paper defines and analyzes this protocol description method and presents examples of some core protocols. © 2023 IEEE.

关键词： Smart contract

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Design of a Trustworthy Monitoring Model for Carbon Emissions in Industrial Parks Considering Green Electricity Consumption

Design of a Trustworthy Monitoring Model for Carbon Emission...

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

作者： Jingli Feng Tingting Jiang Qinglei Guo Deisheng Bai Xiaoxiao Ma Xiukui Pan State Grid Digital Technology Holdings Co. Ltd. Beijing China State Grid Blockchain Technology (Beijing) Co. Ltd. Beijing China Blockchain Technology Laboratory of State Grid Corporation of China Beijing China

ISBN: (数字)9798350366914

ISBN: (纸本)9798350366921

Under the goal of peaking carbon emissions and achieving carbon neutrality in China, reliable carbon emissions in industrial parks have become a key focus of monitoring and calculation. There are still doubts about the authenticity of uploaded information, cumbersome data accounting processes, and difficulties in storing and tracing data in current carbon emission monitoring. This article constructs a trustworthy blockchain-based monitoring model for park carbon emissions. The model considers the business characteristics of park carbon emissions, uses blockchain distributed ledger as the underlying architecture, designs a key data trustworthy storage mechanism, and realizes online verification, accounting, and warning of carbon emissions indicators considering user green electricity consumption through smart contracts. The model builds a blockchain-based trusted monitoring platform for carbon emissions through the linkage mechanism of underlying trusted technology, distributed storage technology, and smart contract optimization, achieving efficient, transparent, and traceable dynamic monitoring of carbon emission data.

关键词： Distributed ledger Electricity Smart contracts Power system dynamics Carbon dioxide Data models Power system reliability Reliability Monitoring Optimization

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Cross-chain Trusted Carbon Allowance Trading Mechanism Based on blockchain 14th

Cross-chain Trusted Carbon Allowance Trading Mechanism Based...

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14th International Conference on Computer Engineering and Networks, CENet 2024

作者： Guo, Qinglei Du, Zhe Bai, Desheng Pan, Xiukui Lei, Mingyang Ma, Jingchao State Grid Digital Technology Holdings Co. Ltd. Beijing100053 China Co. Ltd. Beijing100053 China Blockchain Technology Laboratory of State Grid Corporation of China Beijing100053 China State Grid Shandong Electric Power Company Jinan250012 China

ISBN: (纸本)9789819649624

Countries are committed to addressing climate change and implementing carbon emission trading plans to reduce greenhouse gas emissions, internalizing carbon emissions as part of corporate operating costs, and the carbon emission prices formed by transactions guide companies to choose the most cost-effective means of carbon reduction. The main problems of the current carbon trading system are fragmented implementation, lack of transparency leading to excessive credit and double-spending attacks, and large transaction costs caused by exchanges through agents. In this paper, by utilizing blockchain technology, based on the transparency, security, and immutability that this mechanism can provide, it brings higher transparency, accessibility, liquidity, and standardization to the carbon market. At the same time, in order to improve the storage and query efficiency of the carbon allowance trading system, this paper proposes a cross-chain carbon trading model that stores different types of information on different blockchains to improve the scalability of the blockchain. In order to solve the problem of cross-chain calls to unreliable information faced by cross-chain technology, this paper proposes a cross-chain trusted payment verification mechanism based on Merck proof to ensure the authenticity, real-time, and security of cross-chain information, making inter-chain information interaction in carbon allowance trading more convenient and accurate. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Carbon emissions

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Credit Risk Assessment and Early Warning of Supply Chain Finance Based on XGBoost-LSTM-A Model 4

Credit Risk Assessment and Early Warning of Supply Chain Fin...

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4th International Conference on Computer Science and Management technology, ICCSMT 2023

作者： Wang, Dong Feng, Jingli Zou, Wanzhen Chen, Hao State Grid Digital Technology Holding Co. Ltd Beijing100053 China Blockchain Technology Laboratory of State Grid Corporation of China Beijing100053 China Co. Ltd. Beijing100053 China State Grid Zhejiang Electric Power Co. Ltd. Hangzhou311500 China

ISBN: (纸本)9798400709517

This paper proposes a XGBoost-LSTM-A model for credit risk assessment of enterprises on supply chain. There are two main stages. For the first stage, we use XGBoost model to select out top important features from the credit risk assessment system we built. In the second stage, we use the LSTM network to capture dynamic nonlinear relationship between selected indicators and credit risk value on time series, then fuse the attention mechanism to better filter out more crucial information in the hidden layer to make results more meaningful. Our solution not only innovatively proposes a time series approach which captures correlations within data effectively to achieve risk warning, but also greatly reduces the computational effort by reducing the dimensionality of the data through feature selection. Through empirical analysis, XGBoost-LSTM-A model has an accuracy rate of 81.48%, which can provide a certain reference for credit risk assessment of supply chain finance. © 2023 ACM.

关键词： Time series

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Traceability technology of DC Electric Energy Metering for On-Site Inspection of Chargers

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Energy Engineering 2023年第3期120卷 715-727页

作者： Hua Li Dezhi Xiong Zhi Wang Hunan Institute of Metrology and Inspection Changsha410018China State Grid Hunan Electric Power Corporation Limited Changsha410001China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410001China

The on-site inspection of high-power DC chargers results in new DC high-current measurement and DC energy traceability system *** paper studies the traceability technology of electric energy value for automotive high-power DC chargers,including:(1)the traceability method of the built-in DC energy meter and shunt of the charger;(2)precision DC high current and small precision DC voltage output and measurement *** paper designs a 0.1 mA∼600 A DC high current measurement system and proposes a 0.005 level DC powermeasurement traceability *** uncertainty evaluation experiment of theDC powermeasurement calibration system and the high-power DC charger’s on-site calibration experiment results verify the method’s effectiveness and feasibility in this *** experimental results show that the combined standard uncertainty of the DC power metering verification system can be 0.0451%.

关键词： DC electric energy measurement charger traceability calibration

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Online Monitoring Method for Metering Errors in Charging Facilities Based on Energy Conservation and Double Metering Comparison 6

Online Monitoring Method for Metering Errors in Charging Fac...

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6th International Conference on Information Technologies and Electrical Engineering, ICITEE 2023

作者： Yang, Jing Wu, Cong Wang, Zhi Liu, Chao Liu, Mouhai State Grid Hunan Electric Power Corporation Limited Changsha China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China

ISBN: (纸本)9798400708299

The electric energy metering device of charging facilities is easily affected by factors such as power quality, abnormal fluctuations in fixed loss in the station area, and distortion signals, and it is difficult to ensure the accuracy of electric energy measurement of charging facilities. In order to ensure the fairness, impartiality, scientific accuracy of measuring charging facilities, and enhance the accuracy of measurement, a hardware and software-based method combining energy conservation and comparison of primary and secondary metering modules is proposed for online monitoring of charging pile errors. Firstly, the measurement errors of each charging pile are calculated based on energy conservation. Secondly, for suspected charging piles with excessive errors, a secondary judgment is conducted using the primary and secondary metering module approach to enhance the robustness of online error monitoring. This method has the advantages of simple structure, low cost, high monitoring efficiency, and accuracy. © 2023 ACM.

关键词： Piles

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Design of a Container-based Broadband RF Pulse Signal Analysis Algorithm Integration Scheme 8

Design of a Container-based Broadband RF Pulse Signal Analys...

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8th International Conference on Systems and Informatics, ICSAI 2022

作者： Tian, Wenfeng Deng, Hui Zeng, Pengfei State Grid Smart Grid Research Institute Co. Ltd Nanjing China State Grid Smart Grid Research Institute Co. Ltd Application State Nanjing China Electric Power Intelligent Sensing Technology Application State Grid Corporation Joint Laboratory Nanjing China

ISBN: (纸本)9781665474481

In order to better support the self-learning and dynamic upgrading of broadband RF pulse signal intelligent detection terminal for interference, partial discharge defective pulse signal features and its extraction algorithm, combined with the multi-sensor fusion, resource limitation and real-time information processing faced by the intelligent detection terminal, this paper is based on the principle of lightweight Docker container technology architecture, the partial discharge algorithm is developed, released, deployed, and The paper also adopts the multi-agent resource scheduling of lightweight containers to realize the intelligent scheduling of resources and continuous iteration of algorithms for broadband RF partial discharge detection system, supporting the development and application of broadband RF pulse signal detection and real-time analysis devices. © 2022 IEEE.

关键词： Containers

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Towards practical data alignment in production federated learning

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Frontiers of Computer Science 2025年第1期19卷 167-169页

作者： Yexuan SHI Wei YU Yuanyuan ZHANG Chunbo XUE Yuxiang ZENG Zimu ZHOU Manxue GUO Lun XIN Wenjing NIE State Key Laboratory of Complex&Critical Software Environment and Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang UniversityBeijing 100191China Zhongguancun Pan Connected Mobile Communication Technology Innovation and Application Research Institute Beijing 100088China China Mobile Research Institute Beijing 100053China School of Data Science City University of Hong KongHong Kong 999077China

1 Introduction Federated learning has emerged as a promising par-adigm for collaborative model training that facilitates cooperation among multiple parties while ensuring data privacy[1].Successful alignment of data across parties is crucial for effective federated learning[2].This alignment involves harmonizing heterogeneous data from different parties to identify shared data for joint model *** set intersection(PSI)is a technique that allows the alignment of common entities between parties without revealing additional ***,efficiently performing data alignment with PSI in federated learning[3],especially when dealing with highly unbalanced data,remains challenging due to the low efficiency.

关键词： alignment dealing parties

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