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All issues Volume 27 / No 3 (June 2022) Wuhan Univ. J. Nat. Sci., 27 3 (2022) 231-239 References
Open Access
Issue
Wuhan Univ. J. Nat. Sci.
Volume 27, Number 3, June 2022
Page(s) 231 - 239
DOI https://doi.org/10.1051/wujns/2022273231
Published online 24 August 2022
  1. Cao J W, Yang M B, Zhang D H, et al. Energy Internet: An infrastructure for cyber-energy integration[J]. Southern Power System Technology, 2014, 8(4): 1-10(Ch). [Google Scholar]
  2. Dong Z Y, Zhao J H, Wen F S, et al. From smart grid to Energy Internet: Basic concept and research framework[J]. Automation of Electric Power Systems, 2014, 38(15): 1-11(Ch). [Google Scholar]
  3. Tian S M, Luan W P, Zhang D X, et al. Technical forms and key technologies on Energy Internet[J]. Proceedings of the CSEE, 2015, 35(14): 3482-3494(Ch). [Google Scholar]
  4. Chin W L, Li W, Chen H H. Energy big data security threats in IoT-based smart grid communications[J]. IEEE Communications Magazine, 2017, 55(10): 70-75. [CrossRef] [Google Scholar]
  5. Yan T S, Cheng H Z, Zeng P L, et al. System architecture and key technologies of Energy Internet[J]. Power System Technology, 2016, 40(1): 105-113(Ch). [Google Scholar]
  6. Liao H M, Xuan J X, Zhen P, et al. Energy Internet Technology form and Key Technology [J]. Power Informatization, 2019, 17 (8): 18-23. [Google Scholar]
  7. The European Times. The Swedish government is now the largest leakage of military and civilian information is afraid to be exposed [EB/OL]. [2017-04-16].http://www.oushinet.com/europe/other/20170726/267856.html. [Google Scholar]
  8. Ma D. San Francisco Transit Transportation system attacked by ransomware [EB/OL]. [2016-11-12]. http://world.people.com.cn/n1/2016/1129/c1002-28910915.html. [Google Scholar]
  9. Saheli Roy Choudhury.Cybercriminals are exploiting fears of the pandemic to steal personal information[EB/OL]. [2020-04-15].https://www.cnbc.com/2020/04/15/coronavirus-cybercriminals-are-targeting-people-through-phishing-scams.html. [Google Scholar]
  10. Li F H, Su M, Shi G Z, et al. Research status and development trends of access control model[J]. Acta Electronica Sinica, 2012, 40(4): 805-813(Ch). [Google Scholar]
  11. Hussein D, Bertin E, Frey V. A community-driven access control approach in distributed IoT environments[J]. IEEE Communications Magazine, 2017, 55(3): 146-153. [CrossRef] [Google Scholar]
  12. Yang Y, Zheng X H, Guo W Z, et al. Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system[J]. Information Sciences, 2019, 479: 567-592. [CrossRef] [Google Scholar]
  13. Chen H C. Collaboration IoT-based RBAC with trust evaluation algorithm model for massive IoT integrated application[J]. Mobile Networks and Applications, 2019, 24(3): 839-852. [CrossRef] [Google Scholar]
  14. Figueroa-Lorenzo S, Añorga J, Arrizabalaga S. A role-based access control model in modbus SCADA systems. A centralized model approach[J]. Sensors , 2019, 19(20): 4455.1-24. [Google Scholar]
  15. Thakare A, Lee E, Kumar A, et al. PARBAC: Priority-attribute-based RBAC model for azure IoT cloud[J]. IEEE Internet of Things Journal, 2020, 7(4): 2890-2900. [CrossRef] [Google Scholar]
  16. Yu Y, Sun L F, Ma Y H. Attribute-based access control model for attribute-based cloud manufacturing collaboration platform [J]. Computer Integrated Manufacturing System, 2017, 23 (1): 196-202. [Google Scholar]
  17. Shan F F, Li F H, Xie R N, et al. Multi-dimensional digital media-oriented access control scheme[J]. Journal on Communications, 2015, 36 (11): 52-60. [Google Scholar]
  18. Wang R. Attribute-Based Entrusted Access Control Model and Its Application in Smart Home [D]. Xi'an : Xi 'an University of Electronic Science and Technology, 2020(Ch). [Google Scholar]
  19. Shi J S, Li R, Pine T T. Blockchain based access control framework for the Internet of Things [J]. Computer Application, 2020, 40 (4): 931-941. [Google Scholar]
  20. Du R Z, Liu Y, Tian J F. An access control method using smart contract for Internet of Things[J]. Journal of Computer Research and Development, 2019, 56(10): 2287-2298(Ch). [Google Scholar]

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