Education, Science, Technology, Innovation and Life
Open Access
Sign In

A privacy protection scheme of smart home electricity information based on plug-in electric vehicle

Download as PDF

DOI: 10.23977/isspj.2020.51002 | Downloads: 19 | Views: 2578

Author(s)

Shaomin Zhang 1, Jieqi Rong 1, Baoyi Wang 1

Affiliation(s)

1 School of Control and Computer Engineering, North China Electric Power University, China

Corresponding Author

Shaomin Zhang

ABSTRACT

The smart meter collects the user's fine-grained real-time power information and uploads it to the control center. The control center feeds back the control commands to the smart meter. The bi-directional interaction may lead to user's privacy leakage. Aiming at the problem above, a privacy protection scheme of smart home electricity information based on plug-in electric vehicle is proposed in this paper. The electric vehicle energy storage is used to blur the user's electricity consumption data to ensure user privacy, and at the same time, the user's electricity cost can be reduced.

KEYWORDS

privacy protection, electric vehicle, smart home

CITE THIS PAPER

Shaomin Zhang, Jieqi Rong and Baoyi Wang. A privacy protection scheme of smart home electricity information based on plug-in electric vehicle. Information Systems and Signal Processing Journal (2020) 5: 5-10. DOI: http://dx.doi.org/10.23977/isspj.2020.51002

REFERENCES

[1] Y. Liu, Y. Zhou and S. Hu. Combating Coordinated Pricing Cyberattack and Energy Theft in Smart Home Cyber-Physical Systems[J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, VOL. 37, Pages:573-586, MARCH 2018.
[2] Rubio J E, Alcaraz C and Lopez J. Recommender system for privacy-preserving solutions in smart metering[J]. Pervasive and Mobile Computing, Volume: 41, Pages: 205-218, OCT 2017.
[3] Singh SK, Khanna K, Bose R, Panigrahi BK and Joshi A. Joint-Transformation-Based Detection of False Data Injection Attacks in Smart Grid[J]. IEEE Transactions on Industrial Informatics, Volume: 14, Pages: 89-97, JAN 2018.
[4] P. Gope and B. Sikdar. Lightweight and Privacy-Friendly Spatial Data Aggregation for Secure Power Supply and Demand Management in Smart Grids[J]. IEEE Transactions on Information Forensics and Security, VOL: 14, NO. 6, Pages:1554-1566, 2019.
[5] Xu Jiajia, Liu Liping and Bao Zhenmao. Smart Grid Privacy Protection Using Solar Energy and Rechargeable Battery[C]. 10th International Conference on Applied Energy(ICAE2018), Pages: 6170-6175, August 2018
[6] Endong Liu and Peng Cheng. Achieving Privacy Protection Using Distributed Load Scheduling: A Randomized Approach[J]. IEEE Transactions on Smart Grid, VOL. 8, NO. 5, Pages: 2460-2473, SEP 2017.
[7] Mohammad Belayet Hossain, Iynkaran Natgunanathan, Yong Xiang, LuXing Yang and Guangyan Huang. Enhanced Smart Meter Privacy Protection Using Rechargeable Batteries[J]. IEEE Internet of Things Journal, Pages: 7079-7092, VOL. 6, NO. 4, August 2019.
[8] Yanan Sun, Lutz Lampe and Vincent W.S.Wong. Smart Meter Privacy: Exploiting the Potential of Household Energy Storage Units[J]. IEEE Internet of Things Journal, VOL. 5, NO. 1, Pages: 69-78, FEB 2018.
[9] J. Yang, G. Huang, C. Wei. Privacy-aware electricity scheduling for home energy management system[J]. PEER-TO-PEER Networking and Applications, Volume: 11, Pages: 309-317, 2018.
[10] Xiaohua Wu, Xiaosong Hu and Scott Moura, et al. Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array[J]. Journal of Power Sources, 2016, 333:203-212.

Downloads: 1028
Visits: 82960

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.