A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network
Active distribution network (ADN), as a typically cyber-physical system, develops with the evolution of Internet of Things (IoTs), which makes the network vulnerable to cyber-security threats. In this paper, the eavesdropping attacks that lead to privacy breaches are addressed for the IoT-enabled AD...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10158484/ |
| _version_ | 1797342341067964416 |
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| author | Qian Hu Siqi Bu Wencong Su Vladimir Terzija |
| author_facet | Qian Hu Siqi Bu Wencong Su Vladimir Terzija |
| author_sort | Qian Hu |
| collection | DOAJ |
| description | Active distribution network (ADN), as a typically cyber-physical system, develops with the evolution of Internet of Things (IoTs), which makes the network vulnerable to cyber-security threats. In this paper, the eavesdropping attacks that lead to privacy breaches are addressed for the IoT-enabled ADN. A privacy-preserving energy management system (EMS) is proposed and empowered by secure data exchange protocols based on the homomorphic cryptosystem. During the information transmission among distributed generators and load customers in the EMS, private information including power usage and electricity bidding price can be effectively protected against eavesdropping attacks. The correctness of the final solutions, e.g., optimal market clearing price and unified power utilization ratio, can be deterministically guaranteed. The simulation results demonstrate the effectiveness and the computational efficiency of the proposed homomorphically encrypted EMS. |
| first_indexed | 2024-03-08T10:31:53Z |
| format | Article |
| id | doaj.art-d8214b5f7c7e4a00a7506ffa128486e1 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-03-08T10:31:53Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-d8214b5f7c7e4a00a7506ffa128486e12024-01-27T00:03:10ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202024-01-0112116717810.35833/MPCE.2022.00050710158484A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution NetworkQian Hu0Siqi Bu1Wencong Su2Vladimir Terzija3Hong Kong Baptist University,Department of Physics,Hong Kong,ChinaShenzhen Research Institute, The Hong Kong Polytechnic University,Department of Electrical and Electronic Engineering,Hong Kong,ChinaUniversity of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,MI,USA,48128School of Engineering, Newcastle University,Newcastle,UKActive distribution network (ADN), as a typically cyber-physical system, develops with the evolution of Internet of Things (IoTs), which makes the network vulnerable to cyber-security threats. In this paper, the eavesdropping attacks that lead to privacy breaches are addressed for the IoT-enabled ADN. A privacy-preserving energy management system (EMS) is proposed and empowered by secure data exchange protocols based on the homomorphic cryptosystem. During the information transmission among distributed generators and load customers in the EMS, private information including power usage and electricity bidding price can be effectively protected against eavesdropping attacks. The correctness of the final solutions, e.g., optimal market clearing price and unified power utilization ratio, can be deterministically guaranteed. The simulation results demonstrate the effectiveness and the computational efficiency of the proposed homomorphically encrypted EMS.https://ieeexplore.ieee.org/document/10158484/Eavesdropping attackenergy management systemhomomorphic cryptosystemInternet of Things (IOTs)active distribution network (ADN)privacy-preserving |
| spellingShingle | Qian Hu Siqi Bu Wencong Su Vladimir Terzija A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network Journal of Modern Power Systems and Clean Energy Eavesdropping attack energy management system homomorphic cryptosystem Internet of Things (IOTs) active distribution network (ADN) privacy-preserving |
| title | A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network |
| title_full | A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network |
| title_fullStr | A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network |
| title_full_unstemmed | A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network |
| title_short | A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network |
| title_sort | privacy preserving energy management system based on homomorphic cryptosystem for iot enabled active distribution network |
| topic | Eavesdropping attack energy management system homomorphic cryptosystem Internet of Things (IOTs) active distribution network (ADN) privacy-preserving |
| url | https://ieeexplore.ieee.org/document/10158484/ |
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