Research Progress on Security Technology for Cross-Chain Service of Energy Blockchain

He Yunhua; Luo Mingshun; Hu Qing; Wu Bin; Wang Chao; Xiao Ke

doi:10.7544/issn1000-1239.202220892

Journal of Computer Research and Development > 2024 > 61(4): 1018-1037. > DOI: 10.7544/issn1000-1239.202220892

He Yunhua, Luo Mingshun, Hu Qing, Wu Bin, Wang Chao, Xiao Ke. Research Progress on Security Technology for Cross-Chain Service of Energy Blockchain[J]. Journal of Computer Research and Development, 2024, 61(4): 1018-1037. DOI: 10.7544/issn1000-1239.202220892

Citation:

PDF (1885 KB)

Research Progress on Security Technology for Cross-Chain Service of Energy Blockchain

1.
School of Information Science & Technology, North China University of Technology, Beijing 100144
2.
China Research Development Academy of Machinery Equipment, Beijing 100089
3.
State Key Laboratory of Information Security (Institute of Information Engineering, Chinese Academy of Sciences), Beijing 100093

Funds: This work was supported by the National Natural Science Foundation of China (62272007, U23B2002), the Beijing Natural Science Foundation (M21029), the Open Topics of Yunnan Key Laboratory of Blockchain Application Technology (174009), the Research and Development Program of Beijing Municipal Education Commission (KM202010009010, KM202010009008), the Excellent Young Talents Project of the Beijing Municipal University Teacher Team Construction Support Plan (BPHR202203031), and the Open Topics of Key Laboratory of Blockchain Technology and Data Security, The Ministry of Industry and Information Technology of the People’s Republic of China (20243222).

More Information

Author Bio:
He Yunhua: born in 1987. PhD. Member of the IEEE. His main research interests include security and privacy in cyber-physical systems, bitcoin based incentive mechanism, security and privacy in vehicle ad hoc networks

Luo Mingshun: born in 1999. Master candidate. His main research interest includes blockchain technology and security

Hu Qing: born in 1985. PhD. Her main research interest includes advanced persistent threats and IOT security

Wu Bin: born in 1980. PhD. His main research interests include covert communication，blockchain technology and network protocol analysis

Wang Chao: born in 1987. PhD. His main research interests include Internet of vehicles communication technology and Internet of things security

Xiao Ke: born in 1980. PhD. His main research interests include the research and development and teaching work of wireless communications, Internet of things, and embedded systems
Received Date: October 20, 2022
Revised Date: May 05, 2023
Available Online: November 13, 2023

Graphical Abstract

Abstract

Abstract

Driven by the carbon peaking and carbon neutrality goals of China, the digital transformation of the energy industry is imperative. With the application and development of blockchain in the digital transformation of the energy industry, the concept of energy blockchain has gradually formed a consensus. Energy blockchain is a new industrial form of the deep integration of the blockchain technology and the energy Internet, which can facilitate efficient collaboration between energy entities and provide technical support and services for innovative business models such as green and low-carbon business. The large-scale development of energy blockchain is inseparable from the breakthrough of multi-level cross-chain technology, but the cross-chain service of energy blockchain still faces many problems. We divide the current research status of energy blockchain into five categories, namely energy blockchain architecture, smart contract applications, cross-chain technology, blockchain node management and blockchain privacy protection, and we summarize the related research work in these five directions respectively, sort out the principles, advantages and disadvantages of each research scheme in detail; then, in order to promote the development of the cross-chain service security technology of the energy blockchain, we combine the supervision mechanism and the consensus mechanism to propose a multi-level cross-chain collaborative supervision of the energy blockchain architecture, according to the actual needs of the energy blockchain; finally, we summarize problems that need to be solved in the energy blockchain cross-chain service security technology, and put forward the research prospect of blockchain in the energy field.
- energy blockchain,
- regulatory architecture,
- cross-chain services,
- node management,
- privacy protection

FullText(HTML)

References (75)

References

[1]	Xu Min, Chen Xingtong, Kou Gang. A systematic review of blockchain[J]. Financial Innovation, 2019, 5(1): 1−14 doi: 10.1186/s40854-018-0118-9
[2]	Brilliantova V, Thurner T W. Blockchain and the future of energy[J]. Technology in Society, 2019, 57: 38−45 doi: 10.1016/j.techsoc.2018.11.001
[3]	颜拥,陈星莺,文福拴,等. 从能源互联网到能源区块链:基本概念与研究框架[J]. 电力系统自动化,2022,46(2):1−14 Yan Yong, Chen Xingying, Wen Fushuan, et al. From energy Internet to energy blockchain: Basic concept and research framework[J]. Automation of Electric Power Systems, 2022, 46(2): 1−14 (in Chinese)
[4]	佘维,白孟龙,刘炜,等. 能源区块链的架构、应用与发展趋势[J]. 郑州大学学报:理学版,2021,53(4):1−21 She Wei, Bai Menglong, Liu Wei, et al. The architecture, application and development trend of energy blockchain[J]. Journal of Zhengzhou University: Natural Science Edition, 2021, 53(4): 1−21 (in Chinese)
[5]	Liu Chang, Mei Yu, Zhang Xu, et al. Research on epidemic data sharing model based on cross-chain mechanism[C] //Proc of the 10th Int Conf on Communications, Signal Processing, and Systems. Berlin: Springer, 2022: 424−430
[6]	Wang Weidong, Li Xiaofeng, Zhao He. DCAF: Dynamic cross-chain anchoring framework using smart contracts[J]. The Computer Journal, 2022, 65(8): 2164−2182 doi: 10.1093/comjnl/bxab052
[7]	Andoni M, Robu V, Flynn D, et al. Blockchain technology in the energy sector: A systematic review of challenges and opportunities[J]. Renewable and Sustainable Energy Reviews, 2019, 100: 143−174 doi: 10.1016/j.rser.2018.10.014
[8]	Ante L, Steinmetz F, Fiedler I. Blockchain and energy: A bibliometric analysis and review[J]. Renewable and Sustainable Energy Reviews, 2021, 137: 110597 doi: 10.1016/j.rser.2020.110597
[9]	Wang Qiang, Su Min. Integrating blockchain technology into the energy sector—From theory of blockchain to research and application of energy blockchain[J]. Computer Science Review, 2020, 37: 100275 doi: 10.1016/j.cosrev.2020.100275
[10]	Teng Fei, Zhang Qi, Wang Ge, et al. A comprehensive review of energy blockchain: Application scenarios and development trends[J]. International Journal of Energy Research, 2021, 45(12): 17515−17531 doi: 10.1002/er.7109
[11]	Bao Jiabin, He Debiao, Luo Min, et al. A survey of blockchain applications in the energy sector[J]. IEEE Systems Journal, 2020, 15(3): 3370−3381
[12]	傅丽玉,陆歌皓,吴义明,等. 区块链技术的研究及其发展综述[J]. 计算机科学,2022,49(S1):447−461,666 Fu Liyu, Lu Gehao, Wu Yiming, et al. Overview of research and development of blockchain technology[J]. Computer Science, 2022, 49(S1): 447−461,666 (in Chinese)
[13]	Mahmudnia D, Arashpour M, Yang R. Blockchain in construction management: Applications, advantages and limitations[J]. Automation in Construction, 2022, 140: 104379 doi: 10.1016/j.autcon.2022.104379
[14]	Zhou Liyi, Qin Kaihua, Torres C F, et al. High-frequency trading on decentralized on-chain exchanges[C]//Proc of the 42nd IEEE Symp on Security and Privacy. Piscataway, NJ: IEEE, 2021: 428−445
[15]	Leng Kaijun, Bi Ya, Jing Linbao, et al. Research on agricultural supply chain system with double chain architecture based on blockchain technology[J]. Future Generation Computer Systems, 2018, 86: 641−649 doi: 10.1016/j.future.2018.04.061
[16]	Cao Bin, Wang Xuesong, Zhang Weizheng, et al. A many-objective optimization model of industrial Internet of things based on private blockchain[J]. IEEE Network, 2020, 34(5): 78−83 doi: 10.1109/MNET.011.1900536
[17]	Qiao Rui, Luo Xiangyang, Zhu Sifeng, et al. Dynamic autonomous cross consortium chain mechanism in e-healthcare[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 24(8): 2157−2168 doi: 10.1109/JBHI.2019.2963437
[18]	戴炳荣,姜胜明,李顿伟,等. 基于改进PageRank算法的跨链公证人机制评价模型[J],计算机工程,2021,47(2):26−31 Dai bingrong, Jiang Shengming, Li Dunwei, et al. Evaluation model of cross-chain notary mechanism based on improved PageRank algorithm[J]. Computer Engineering, 2021, 47(2): 26−31 (in Chinese)
[19]	Singh A, Click K, Parizi R M, et al. Sidechain technologies in blockchain networks: An examination and state-of-the-art review[J]. Journal of Network and Computer Applications, 2020, 149: 102471 doi: 10.1016/j.jnca.2019.102471
[20]	Dai Bingrong, Jiang Shengming, Li Chao, et al. A multi-hop cross-blockchain transaction model based on improved hash-locking[J]. International Journal of Computational Science and Engineering, 2021, 24(6): 610−620 doi: 10.1504/IJCSE.2021.119983
[21]	Deng Liping, Chen Huan, Zeng Jing, et al. Research on cross-chain technology based on sidechain and Hash-locking[C] //Proc of the 2nd Int Conf on Edge Computing. Berlin: Springer, 2018: 144−151
[22]	Neisse R, Hernández-Ramos J L, Matheu-Garcia S N, et al. An Interledger blockchain platform for cross-border management of cybersecurity information[J]. IEEE Internet Computing, 2020, 24(3): 19−29 doi: 10.1109/MIC.2020.3002423
[23]	Frauenthaler P, Sigwart M, Spanring C, et al. ETH Relay: A cost-efficient relay for ethereum-based blockchains[C]//Proc of the 3rd IEEE Int Conf on Blockchain. Piscataway, NJ: IEEE, 2020: 204−213
[24]	Ou Wei, Huang Shiying, Zheng Jingjing, et al. An overview on cross-chain: Mechanism, platforms, challenges and advances[J]. Computer Networks, 2022, 218: 109378 doi: 10.1016/j.comnet.2022.109378
[25]	Zhong Cong, Liang Zhihong, Huang Yuxiang, et al. Research on cross-chain technology of blockchain: Challenges and prospects[C] //Proc of the 2nd IEEE Int Conf on Power, Electronics and Computer Applications. Piscataway, NJ: IEEE, 2022: 422−428
[26]	Zhang Jianbiao, Liu Yanhui, Zhang Zhaopian. Research on cross-chain technology architecture system based on blockchain[C] //Proc of the 8th Int Conf on Communications, Signal Processing, and Systems. Berlin: Springer, 2019: 2609−2617
[27]	Yan Mingyu, Shahidehpour M, Alabdulwahab A, et al. Blockchain for transacting energy and carbon allowance in networked microgrids[J]. IEEE Transactions on Smart Grid, 2021, 12(6): 4702−4714 doi: 10.1109/TSG.2021.3109103
[28]	Yang Qing, Wang Hao. Privacy-preserving transactive energy management for IoT-aided smart homes via blockchain[J]. IEEE Internet of Things Journal, 2021, 8(14): 11463−11475 doi: 10.1109/JIOT.2021.3051323
[29]	Abishu H N, Seid A M, Yacob Y H, et al. Consensus mechanism for blockchain-enabled vehicle-to-vehicle energy trading in the Internet of electric vehicles[J]. IEEE Transactions on Vehicular Technology, 2021, 71(1): 946−960
[30]	Zhang Yi. Distributed energy intelligent transaction model and credit risk management based on energy blockchain[J]. Journal of Information Science & Engineering, 2021, 37(1): 55−66
[31]	Deng Lirong, Zhang Xuan, Sun Hongbin. Real-time autonomous trading in the electricity-and-heat distribution market based on blockchain[C/OL]//Proc of the 2019 IEEE Power and Energy Society General Meeting. Piscataway, NJ: IEEE, 2019[2022-09-23].https://ieeexplore.ieee.org/abstract/document/8973842
[32]	Hamouda M R, Nassar M E, Salama M M A. A novel energy trading framework using adapted blockchain technology[J]. IEEE Transactions on Smart Grid, 2020, 12(3): 2165−2175
[33]	龚钢军,张心语,张哲宁,等. 基于区块链动态合作博弈的多微网共治交易模式[J]. 中国电机工程学报,2021,41(3):803−819 Gong Gangjun, Zhang Xinyu, Zhang Zhening, et al. Multi-microgrid co-governance transaction model based on dynamic cooperation game of blockchain[J]. Proceedings of the Chinese Society of Electrical Engineering, 2021, 41(3): 803−819 (in Chinese)
[34]	Yang Jiawei, Paudel A, Gooi H B. Blockchain framework for peer-to-peer energy trading with credit rating[C/OL]// Proc of the 2019 IEEE Power and Energy Society General Meeting. Piscataway, NJ: IEEE, 2019[2022-08-13].https://ieeexplore.ieee.org/abstract/document/8973709
[35]	Abdella J, Tari Z, Anwar A, et al. An architecture and performance evaluation of blockchain-based peer-to-peer energy trading[J]. IEEE Transactions on Smart Grid, 2021, 12(4): 3364−3378 doi: 10.1109/TSG.2021.3056147
[36]	van Leeuwen G, AlSkaif T, Gibescu M, et al. An integrated blockchain-based energy management platform with bilateral trading for microgrid communities[J]. Applied Energy, 2020, 263: 114613 doi: 10.1016/j.apenergy.2020.114613
[37]	Li Zugang, Chen Shi, Zhou Buxiang. Electric vehicle peer-to-peer energy trading model based on SMES and blockchain[J]. IEEE Transactions on Applied Superconductivity, 2021, 31(8): 1−4
[38]	穆程刚,丁涛,董江彬,等. 基于私有区块链的去中心化点对点多能源交易系统研制[J]. 中国电机工程学报,2021,41(3):878−890 Mu Chenggang, Ding Tao, Dong Jiangbin, et al. Development of decentralized peer-to-peer multi-energy trading system based on private blockchain technology[J]. Proceedings of the Chinese Society of Electrical Engineering, 2021, 41(3): 878−890 (in Chinese)
[39]	沈泽宇,陈思捷,严正,等. 基于区块链的分布式能源交易技术[J]. 中国电机工程学报,2021,41(11):3841−3851 Shen Zeyu, Chen Sijie, Yan Zheng, et al. Distributed energy trading technology based on blockchain[J]. Proceedings of the Chinese Society of Electrical Engineering, 2021, 41(11): 3841−3851 (in Chinese)
[40]	Kaur K, Kaddoum G, Zeadally S. Blockchain-based cyber-physical security for electrical vehicle aided smart grid ecosystem[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(8): 5178−5189 doi: 10.1109/TITS.2021.3068092
[41]	Yang Xiaodong, Wang Guofeng, He Haibo, et al. Automated demand response framework in ELNs: Decentralized scheduling and smart contract[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(1): 58−72
[42]	Couraud B, Robu V, Flynn D, et al. Real-time control of distributed batteries with blockchain-enabled market export commitments[J]. IEEE Transactions on Sustainable Energy, 2021, 13(1): 579−591
[43]	黄伟,左欣雅,刘弋铭. 基于多区块链结构的综合能源系统调度构架[J]. 电力系统自动化,2021,45(23):12−20 Huang Wei, Zuo Xinya, Liu Yiming. Multiple blockchains based dispatching architecture for integrated energy system[J]. Proceedings of the Chinese Society of Electrical Engineering, 2021, 45(23): 12−20 (in Chinese)
[44]	Li Yinan, Yang Wentao, He Ping, et al. Design and management of a distributed hybrid energy system through smart contract and blockchain[J]. Applied Energy, 2019, 248: 390−405 doi: 10.1016/j.apenergy.2019.04.132
[45]	Dabbaghjamanesh M, Wang Boyu, Kavousi-Fard A, et al. Blockchain-based stochastic energy management of interconnected microgrids considering incentive price[J]. IEEE Transactions on Control of Network Systems, 2021, 8(3): 1201−1211 doi: 10.1109/TCNS.2021.3059851
[46]	Zhang Min, Eliassen F, Taherkordi A, et al. Demand–response games for peer-to-peer energy trading with the hyperledger blockchain[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(1): 19−31
[47]	Wang Yuntao, Su Zhou, Zhang Ning, et al. SPDS: A secure and auditable private data sharing scheme for smart grid based on blockchain[J]. IEEE Transactions on Industrial Informatics, 2021, 17(11): 7688−7699 doi: 10.1109/TII.2020.3040171
[48]	李芳,李卓然,赵赫. 区块链跨链技术进展研究[J]. 软件学报,2019,30(6):1649−1660 doi: 10.13328/j.cnki.jos.005741 Li Fang, Li Zhuoran, Zhao He. Research on the progress in cross-chain technology of blockchains[J]. Journal of Software, 2019, 30(6): 1649−1660 (in Chinese) doi: 10.13328/j.cnki.jos.005741
[49]	Garoffolo A, Kaidalov D, Oliynykov R. Zendoo: A zk-SNARK verifiable cross-chain transfer protocol enabling decoupled and decentralized sidechains[C]//Proc of the 40th IEEE Int Conf on Distributed Computing Systems. Piscataway, NJ: IEEE, 2020: 1257−1262
[50]	Ghosh B C, Bhartia T, Addya S K, et al. Leveraging public-private blockchain interoperability for closed consortium interfacing[C/OL]//Proc of the 40th IEEE Conf on Computer Communications. Piscataway, NJ: IEEE, 2021[2022-08-02].https://ieeexplore.ieee.org/abstract/document/9488683
[51]	Thyagarajan S A K, Malavolta G. Lockable signatures for blockchains: Scriptless scripts for all signatures[C] //Proc of the 42nd IEEE Symp on Security and Privacy. Piscataway, NJ: IEEE, 2021: 937−954
[52]	Wang Yun, Xie Haipeng, Sun Xiaotian, et al. A cross-chain enabled day-ahead collaborative power-carbon-TGC market[J]. Energy, 2022, 258: 124881 doi: 10.1016/j.energy.2022.124881
[53]	佘维,顾志豪,杨晓宇,等. 异构能源区块链的多能互补安全交易模型[J]. 电网技术,2019,43(9):3193−3201 She Wei, Gu Zhihao, Yang Xiaoyu, et al. A model of multi-energy complementation and safety transaction on heterogeneous energy blockchain[J]. Power System Technology, 2019, 43(9): 3193−3201 (in Chinese)
[54]	He Yunhua, Zhang Cui, Wu Bin, et al. A cross-chain trusted reputation scheme for a shared charging platform based on blockchain[J]. IEEE Internet of Things Journal, 2022, 9(11): 7989−8000 doi: 10.1109/JIOT.2021.3099898
[55]	Novo O. Blockchain meets IoT: An architecture for scalable access management in IoT[J]. IEEE Internet of Things Journal, 2018, 5(2): 1184−1195 doi: 10.1109/JIOT.2018.2812239
[56]	Cui Zhihua, Fei Xue, Zhang Shiqiang, et al. A hybrid blockchain-based identity authentication scheme for multi-WSN[J]. IEEE Transactions on Services Computing, 2020, 13(2): 241−251
[57]	Feng Chaosheng, Liu Bin, Guo Zhen, et al. Blockchain-based cross-domain authentication for intelligent 5G-enabled Internet of drones[J]. IEEE Internet of Things Journal, 2022, 9(8): 6224−6238 doi: 10.1109/JIOT.2021.3113321
[58]	Che Zheng, Wang Yu, Zhao Juanjuan, et al. A distributed energy trading authentication mechanism based on a consortium blockchain[J]. Energies, 2019, 12(15): 2878 doi: 10.3390/en12152878
[59]	Liu Han, Han Dezhi, Li Dun. Fabric-IoT: A blockchain-based access control system in IoT[J]. IEEE Access, 2020, 8: 18207−18218 doi: 10.1109/ACCESS.2020.2968492
[60]	Yu Guangsheng, Zha Xuan, Wang Xu, et al. Enabling attribute revocation for fine-grained access control in blockchain-IoT systems[J]. IEEE Transactions on Engineering Management, 2020, 67(4): 1213−1230 doi: 10.1109/TEM.2020.2966643
[61]	Huang Junqin, Kong Linghe, Chen Guihai, et al. Towards secure industrial IoT: Blockchain system with credit-based consensus mechanism[J]. IEEE Transactions on Industrial Informatics, 2019, 15(6): 3680−3689 doi: 10.1109/TII.2019.2903342
[62]	Yang Wenti, Guan Zhitao, Wu Longfei, et al. Autonomous and Privacy-preserving energy trading based on redactable blockchain in smart grid[C/OL]//Proc of the 2020 IEEE Global Communications Conf. 2020[2022-08-15].https://ieeexplore.ieee.org/abstract/document/9322167
[63]	Goyat R, Kumar G, Saha R, et al. Blockchain-based data storage with privacy and authentication in Internet-of-things[J]. IEEE Internet of Things Journal, 2022, 9(16): 14203−14215 doi: 10.1109/JIOT.2020.3019074
[64]	Michalski R, Dziubałtowska D, Macek P. Revealing the character of nodes in a blockchain with supervised learning[J]. IEEE Access, 2020, 8: 109639−109647 doi: 10.1109/ACCESS.2020.3001676
[65]	Peng Shaoliang, Hu Xing, Zhang Jinglin, et al. An efficient double-layer blockchain method for vaccine production supervision[J]. IEEE Transactions on NanoBioscience, 2020, 19(3): 579−587 doi: 10.1109/TNB.2020.2999637
[66]	Li Meng, Hu Donghui, Lal C, et al. Blockchain-enabled secure energy trading with verifiable fairness in industrial Internet of things[J]. IEEE Transactions on Industrial Informatics, 2020, 16(10): 6564−6574 doi: 10.1109/TII.2020.2974537
[67]	Gai Keke, Wu Yulu, Zhu Liehuang, et al. Differential privacy-based blockchain for industrial Internet-of-things[J]. IEEE Transactions on Industrial Informatics, 2019, 16(6): 4156−4165
[68]	Ping Jian, Yan Zheng, Chen Sijie. A two-stage autonomous EV charging coordination method enabled by blockchain[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(1): 104−113 doi: 10.35833/MPCE.2019.000139
[69]	Guan Zhitao, Lu Xin, Yang Wenti, et al. Achieving efficient and privacy-preserving energy trading based on blockchain and ABE in smart grid[J]. Journal of Parallel and Distributed Computing, 2021, 147: 34−45 doi: 10.1016/j.jpdc.2020.08.012
[70]	赵丙镇,陈智雨,闫龙川,等. 区块链架构的电力业务交易数据隐私保护[J]. 电力系统自动化,2021,45(17):20−26 Zhao Bingzhen, Chen Zhiyu, Yan Longchuan, et al. Privacy protection of power business transaction data based on blockchain framework[J]. Automation of Electric Power Systems, 2021, 45(17): 20−26 (in Chinese)
[71]	Cheng R, Zhang Fan, Kos J, et al. Ekiden: A platform for confidentiality-preserving, trustworthy, and performant smart contracts[C]//Proc of the 4th IEEE European Symp on Security and Privacy. Piscataway, NJ: IEEE, 2019: 185−200
[72]	Unterweger A, Knirsch F, Leixnering C, et al. Lessons learned from implementing a privacy-preserving smart contract in ethereum[C/OL]//Proc of the 9th IFIP Int Conf on New Technologies, Mobility and Security. Piscataway, NJ: IEEE, 2018[2022-08-11].https://ieeexplore.ieee.org/abstract/document/8328739
[73]	Abdelsalam H A, Srivastava A K, Eldosouky A. Blockchain-based privacy preserving and energy saving mechanism for electricity prosumers[J]. IEEE Transactions on Sustainable Energy, 2021, 13(1): 302−314
[74]	Zamani M, Movahedi M, Raykova M. RapidChain: Scaling blockchain via full sharding[C]//Proc of the 25th ACM Conf on Computer and Communications Security. New York: ACM, 2018: 931−948
[75]	Leonardos S, Reijsbergen D, Piliouras G. Weighted voting on the blockchain: Improving consensus in proof of stake protocols[J]. International Journal of Network Management, 2020, 30(5): e2093 doi: 10.1002/nem.2093

[1]	Li Nan, Ding Yidong, Jiang Haoyu, Niu Jiafei, Yi Ping. Jailbreak Attack for Large Language Models: A Survey[J]. Journal of Computer Research and Development, 2024, 61(5): 1156-1181. DOI: 10.7544/issn1000-1239.202330962
[2]	Wang Mengru, Yao Yunzhi, Xi Zekun, Zhang Jintian, Wang Peng, Xu Ziwen, Zhang Ningyu. Safety Analysis of Large Model Content Generation Based on Knowledge Editing[J]. Journal of Computer Research and Development, 2024, 61(5): 1143-1155. DOI: 10.7544/issn1000-1239.202330965
[3]	Chen Xuanting, Ye Junjie, Zu Can, Xu Nuo, Gui Tao, Zhang Qi. Robustness of GPT Large Language Models on Natural Language Processing Tasks[J]. Journal of Computer Research and Development, 2024, 61(5): 1128-1142. DOI: 10.7544/issn1000-1239.202330801
[4]	Chen Huimin, Liu Zhiyuan, Sun Maosong. The Social Opportunities and Challenges in the Era of Large Language Models[J]. Journal of Computer Research and Development, 2024, 61(5): 1094-1103. DOI: 10.7544/issn1000-1239.202330700
[5]	Yang Yi, Li Ying, Chen Kai. Vulnerability Detection Methods Based on Natural Language Processing[J]. Journal of Computer Research and Development, 2022, 59(12): 2649-2666. DOI: 10.7544/issn1000-1239.20210627
[6]	Pan Xuan, Xu Sihan, Cai Xiangrui, Wen Yanlong, Yuan Xiaojie. Survey on Deep Learning Based Natural Language Interface to Database[J]. Journal of Computer Research and Development, 2021, 58(9): 1925-1950. DOI: 10.7544/issn1000-1239.2021.20200209
[7]	Zheng Haibin, Chen Jinyin, Zhang Yan, Zhang Xuhong, Ge Chunpeng, Liu Zhe, Ouyang Yike, Ji Shouling. Survey of Adversarial Attack, Defense and Robustness Analysis for Natural Language Processing[J]. Journal of Computer Research and Development, 2021, 58(8): 1727-1750. DOI: 10.7544/issn1000-1239.2021.20210304
[8]	Pan Xudong, Zhang Mi, Yan Yifan, Lu Yifan, Yang Min. Evaluating Privacy Risks of Deep Learning Based General-Purpose Language Models[J]. Journal of Computer Research and Development, 2021, 58(5): 1092-1105. DOI: 10.7544/issn1000-1239.2021.20200908
[9]	Bao Yang, Yang Zhibin, Yang Yongqiang, Xie Jian, Zhou Yong, Yue Tao, Huang Zhiqiu, Guo Peng. An Automated Approach to Generate SysML Models from Restricted Natural Language Requirements in Chinese[J]. Journal of Computer Research and Development, 2021, 58(4): 706-730. DOI: 10.7544/issn1000-1239.2021.20200757
[10]	Che Haiyan, Feng Tie, Zhang Jiachen, Chen Wei, and Li Dali. Automatic Knowledge Extraction from Chinese Natural Language Documents[J]. Journal of Computer Research and Development, 2013, 50(4): 834-842.

Cited By

Cited by

Periodical cited type(66)

1.	袁良志，海佳丽，汪润，邓文萍，肖勇，常凯. 知识图谱驱动的中医药标准数字化探索与实践. 中医药导报. 2025(01): 225-230 .
2.	范定容，王倩倩，沈奥，彭露. 从ChatGPT到Sora：人工智能在医学教育中的应用潜力与挑战. 中国医学教育技术. 2025(01): 33-40 .
3.	刘园园，王银刚. ChatGPT影响大学生判断能力：双向机理与对策. 湖北成人教育学院学报. 2025(01): 29-34 .
4.	魏昱，刘卫. 人工智能生成内容在服装设计中的应用现状. 毛纺科技. 2025(01): 134-142 .
5.	李冰，鲜勇，雷刚，苏娟. ChatGPT架构下课程智能教学助手建设探讨. 教育教学论坛. 2025(03): 45-48 .
6.	梁炜，许振宇. 大语言模型赋能舆情治理现代化：价值、风险与路径. 中国应急管理科学. 2025(01): 93-103 .
7.	刘邦奇，聂小林，王士进，袁婷婷，朱洪军，赵子琪，朱广袤. 生成式人工智能与未来教育形态重塑：技术框架、能力特征及应用趋势. 电化教育研究. 2024(01): 13-20 .
8.	秦涛，杜尚恒，常元元，王晨旭. ChatGPT的工作原理、关键技术及未来发展趋势. 西安交通大学学报. 2024(01): 1-12 .
9.	张小朝. AIGC在商旅行业中的应用探索. 广东通信技术. 2024(01): 75-79 .
10.	廉霄兴，宋勇，朱军，王淑玲，叶晓舟，欧阳晔. 基于双通道理论的通信认知增强技术研究. 电信科学. 2024(01): 123-135 .
11.	杨永恒. 人工智能时代社会科学研究的“变”与“不变”. 人民论坛·学术前沿. 2024(04): 96-105 .
12.	刘英祥，张琳. 生成式人工智能技术在海事管理工作中的应用探索. 航海. 2024(02): 62-64 .
13.	吕静，何平，王永芬，冉朝霞，曹钦兴，古文帆，彭敏，田敏. ChatGPT在医学领域研究态势的文献计量学分析. 医学与哲学. 2024(07): 30-35 .
14.	王益君，董韵美. 公众对人工智能的认知与情感态度——以ChatGPT为例. 知识管理论坛. 2024(01): 16-29 .
15.	陈雷. ChatGPT在公安院校教育教学中的应用及影响. 太原城市职业技术学院学报. 2024(02): 85-88 .
16.	尤冲，李彦兵. 基于ChatGPT大语言模型应用的公共体育服务智能化:指征、风险及其规制. 南京体育学院学报. 2024(02): 1-12 .
17.	杨胜钦. 从ChatGPT看AI对电信网络诈骗犯罪治理的影响. 犯罪与改造研究. 2024(05): 26-33 .
18.	王春英，姚亚妮，滕白莹. 生成式人工智能嵌入敏捷政府建设：影响、风险与应对. 北京行政学院学报. 2024(03): 73-83 .
19.	王雯，李永智. 国际生成式人工智能教育应用与省思. 开放教育研究. 2024(03): 37-44 .
20.	张智义. 体认语言学视阈下ChatGPT语言生成及性能研究. 外语研究. 2024(03): 20-25+43+112 .
21.	余淑珍，单俊豪，闫寒冰. 情感计算赋能个性化教学：逻辑框架、问题解构与多元重塑. 现代远距离教育. 2024(02): 53-61 .
22.	高尚. 大语言模型与中台：共融还是替代？. 科技与金融. 2024(05): 59-62 .
23.	郭亚军，马慧芳，张鑫迪，冯思倩. ChatGPT赋能图书馆知识服务：原理、场景与进路. 图书馆建设. 2024(03): 60-68 .
24.	高雪松，黄蕴华，王斌. 基于专利数据的生成式人工智能技术栈创新态势研究. 东北财经大学学报. 2024(04): 53-61 .
25.	张渊. ChatGPT文本的生成机制与文本特性分析. 重庆文理学院学报(社会科学版). 2024(04): 105-114 .
26.	罗仕鉴，于慧伶，易珮琦. 数智时代工业设计知识生产新范式. 机械设计. 2024(08): 6-10 .
27.	徐炳文. 基于ChatGPT的人工智能交互技术工业物联网平台研究. 工业控制计算机. 2024(08): 132-134 .
28.	Deyi Li，Jialun Yin，Tianlei Zhang，Wei Han，Hong Bao. The Four Most Basic Elements In Machine Cognition. Data Intelligence. 2024(02): 297-319 .
29.	黄语，刘海洋，常海军，杨远松. 基于ChatGPT工作模式的AI工具在BIM技术中的潜在应用与实现途径. 科技创新与应用. 2024(26): 181-184+188 .
30.	李琳娜，丁楷，韩红旗，王力，李艾丹. 基于知识图谱的中文科技文献问答系统构建研究. 中国科技资源导刊. 2024(04): 51-62 .
31.	裴炳森，李欣，蒋章涛，刘明帅. 基于大语言模型的公安专业小样本知识抽取方法研究. 计算机科学与探索. 2024(10): 2630-2642 .
32.	李克寒，余丽媛，邵企能，蒋可，乌丹旦. 大语言模型在口腔住院医师规范化培训中的应用构想. 中国卫生产业. 2024(07): 155-158 .
33.	钟厚涛. 生成式人工智能给翻译实践带来的机遇与挑战. 北京翻译. 2024(00): 238-250 .
34.	张夏恒，马妍. AIGC在应急情报服务中的应用研究. 图书馆工作与研究. 2024(11): 60-67 .
35.	崔金满，李冬梅，田萱，孟湘皓，杨宇，崔晓晖. 提示学习研究综述. 计算机工程与应用. 2024(23): 1-27 .
36.	周代数，魏杉汀. 人工智能驱动的科学研究第五范式：演进、机制与影响. 中国科技论坛. 2024(12): 97-107 .
37.	钱力，张智雄，伍大勇，常志军，于倩倩，胡懋地，刘熠. 科技文献大模型:方法、框架与应用. 中国图书馆学报. 2024(06): 45-58 .
38.	潘崇佩，廖康启，孔勇发. 生成式人工智能背景下的近代物理实验教学改革. 实验室研究与探索. 2024(12): 117-122 .
39.	李德毅，刘玉超，殷嘉伦. 认知机器如何创造. 中国基础科学. 2024(06): 1-11 .
40.	李德毅，张天雷，韩威，海丹，鲍泓，高洪波. 认知机器的结构和激活. 智能系统学报. 2024(06): 1604-1613 .
41.	蔡昌，庞思诚. ChatGPT的智能性及其在财税领域的应用. 商业会计. 2023(09): 41-46 .
42.	于书娟，卢小雪，赵磊磊. 教育人工智能变革的基本逻辑与发展进路. 当代教育科学. 2023(05): 40-49 .
43.	曹克亮. ChatGPT：意识形态家的机器学转向及后果. 统一战线学研究. 2023(04): 134-144 .
44.	宋恺，屈蕾蕾，杨萌科. 生成式人工智能的治理策略研究. 信息通信技术与政策. 2023(07): 83-88 .
45.	陈凌云，姚宽达，王茜，方安，李刚. ChatGPT:研究进展、模型创新及医学信息研究应用场景优化. 医学信息学杂志. 2023(07): 18-23+29 .
46.	彭强，李羿卫. 自然用户界面在智能家居系统中的应用路径创新研究：生成式人工智能技术的调节作用. 包装工程. 2023(16): 454-463 .
47.	杨军农，王少波. 类ChatGPT技术嵌入政务服务网的应用场景、风险隐患与实施建议. 信息与电脑(理论版). 2023(10): 183-186 .
48.	政光景，吕鹏. 生成式人工智能与哲学社会科学新范式的涌现. 江海学刊. 2023(04): 132-142+256 .
49.	吴梦妮. 社交媒体传播视域下玩具企业应用AI技术实施营销的实践路径. 玩具世界. 2023(04): 144-146 .
50.	李德毅，殷嘉伦，张天雷，韩威，鲍泓. 机器认知四要素说. 中国基础科学. 2023(03): 1-10+22 .
51.	王洁. ChatGPT对知识服务的五大变革. 图书馆. 2023(09): 10-16 .
52.	刘乃嘉. 基于ChatGPT的矿山工程风险评估预警系统实现探讨. 企业科技与发展. 2023(08): 44-47 .
53.	裴炳森，李欣，吴越. 基于ChatGPT的电信诈骗案件类型影响力评估. 计算机科学与探索. 2023(10): 2413-2425 .
54.	张新新，丁靖佳. 生成式智能出版的技术原理与流程革新. 图书情报知识. 2023(05): 68-76 .
55.	张新新，黄如花. 生成式智能出版的应用场景、风险挑战与调治路径. 图书情报知识. 2023(05): 77-86+27 .
56.	陈靖. ChatGPT的类人想象与安全风险分析. 网络空间安全. 2023(04): 8-12 .
57.	李佩芳，陈佳丽，宁宁，王立群，张涵旎. ChatGPT在医学领域的应用进展及思考. 华西医学. 2023(10): 1456-1460 .
58.	朱敏锐，郜云帆，黄勇. 以新时代优良学风涵养新时代外语人才. 北京教育(高教). 2023(11): 35-37 .
59.	丁红菊. 消解与重构：人工智能技术对新闻业的影响——基于对ChatGPT的研究. 运城学院学报. 2023(05): 57-62 .
60.	李钥，淮盼盼，杨辉. ChatGPT在护理教育中的应用状况及优劣分析. 护理学杂志. 2023(21): 117-121 .
61.	张绍龙. 基于ChatGPT的人工智能技术应用. 集成电路应用. 2023(11): 200-201 .
62.	崔克克，孙冲，李辉，赵凌飞. 浅谈水泥企业数字化转型发展. 中国水泥. 2023(12): 28-33 .
63.	单琳，王文娟，刘舒萌. ChatGPT在医学分子生物学教学中的应用. 基础医学教育. 2023(12): 1084-1086 .
64.	李德毅，刘玉超，任璐. 人工智能看智慧. 科学与社会. 2023(04): 131-149 .
65.	付翔，魏晓伟，张浩，徐宁. 数字安全角度下审视和剖析ChatGPT. 航空兵器. 2023(06): 117-122 .
66.	黄婷，刘力凯. 基于大模型的数智化语言教学探索与应用. 连云港职业技术学院学报. 2023(04): 73-79 .