The Challenges of Privacy and Access Control as Key Perspectives for the Future Electric Smart Grid

被引：17
作者：
Triantafyllou, Anna [1 ]
Perez Jimenez, Jose Antonio [2 ]
Del Real Torres, Alejandro [2 ]
Lagkas, Thomas [3 ]
Rantos, Konstantinos [3 ]
Sarigiannidis, Panagiotis [1 ]
机构：
[1] Univ Western Macedonia, Dept Elect & Comp Engn, Kozani 50100, Greece
[2] IDENER, Res & Dev Dept, Seville 41300, Spain
[3] Int Hellen Univ, Dept Comp Sci, Thessaloniki 65404, Greece
来源：
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2020年 / 1卷
基金：
欧盟地平线“2020”;
关键词：
Electric smart grid; AMI; privacy; access control; blockchain; data anomymization; encryption; ADVANCED METERING INFRASTRUCTURE; DATA AGGREGATION; DIFFERENTIAL PRIVACY; DATA PROTECTION; SECURE; AUTHENTICATION; MANAGEMENT; SCHEME; INTERNET; PRESERVATION;
D O I：
10.1109/OJCOMS.2020.3037517
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The Electric Smart Grid (ESG) is referred to as the next generation electricity power network. The ESG is an intelligent critical infrastructure subject to various security vulnerabilities and especially data privacy breaches. This study presents a comprehensive overview of the latest privacy-preserving mechanisms and policies in the ESG, while promoting the employment of modern access control techniques towards preventing personal data disclosure, affecting both utility companies and consumers. Efficient categorization is provided regarding the proposed privacy preserving methods and characteristics, while focus is also given on the use of the Blockchain technology and the Multi Authority Access Control paradigm in the ESG infrastructure. The study concludes with a discussion upon privacy and access control challenges, as well as future work concerning the ESG.
引用
收藏
页码：1934 / 1960
页数：27
相关论文
共 159 条
  • [1] Abood OG, 2017, PROC INT MID EAST P, P644, DOI 10.1109/MEPCON.2017.8301249
  • [2] Afrin S, 2017, 2017 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST)
  • [3] LRSPPP: lightweight R-LWE-based secure and privacy-preserving scheme for prosumer side network in smart grid
    Agarkar, Aarti Amod
    Agrawal, Himanshu
    [J]. HELIYON, 2019, 5 (03)
  • [4] Agarwal Archita, 2019, Proceedings on Privacy Enhancing Technologies, V2019, P170, DOI 10.2478/popets-2019-0042
  • [5] Multi-Layered Clustering for Power Consumption Profiling in Smart Grids
    Al-Jarrah, Omar Y.
    Al-Hammadi, Yousof
    Yoo, Paul D.
    Muhaidat, Sami
    [J]. IEEE ACCESS, 2017, 5 : 18459 - 18468
  • [6] Privacy-Preserving Machine Learning: Threats and Solutions
    Al-Rubaie, Mohammad
    Chang, J. Morris
    [J]. IEEE SECURITY & PRIVACY, 2019, 17 (02) : 49 - 58
  • [7] K-means based cluster analysis of residential smart meter measurements
    Al-Wakeel, Ali
    Wu, Jianzhong
    [J]. CUE 2015 - APPLIED ENERGY SYMPOSIUM AND SUMMIT 2015: LOW CARBON CITIES AND URBAN ENERGY SYSTEMS, 2016, 88 : 754 - 760
  • [8] A Multi-User, Single-Authentication Protocol for Smart Grid Architectures
    Alfakeeh, Ahmed S.
    Khan, Sarmadullah
    Al-Bayatti, Ali Hilal
    [J]. SENSORS, 2020, 20 (06)
  • [9] Ambrosin M, 2016, IEEE CONF COMM NETW, P163, DOI 10.1109/CNS.2016.7860482
  • [10] [Anonymous], 2005, APEC205SO012
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