Privacy-Preserving Electricity Billing System Using Functional Encryption

Jong-Hyuk Im, Hee-Yong Kwon, Seong-Yun Jeon and Mun-Kyu Lee
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Jong-Hyuk Im: Department of Computer Engineering, Inha University, Incheon 22212, Korea
Hee-Yong Kwon: Department of Computer Engineering, Inha University, Incheon 22212, Korea
Seong-Yun Jeon: Department of Computer Engineering, Inha University, Incheon 22212, Korea
Mun-Kyu Lee: Department of Computer Engineering, Inha University, Incheon 22212, Korea

Energies, 2019, vol. 12, issue 7, 1-15

Abstract: The development of smart meters that can frequently measure and report power consumption has enabledelectricity providers to offer various time-varying rates, including time-of-use and real-time pricing plans. High-resolution power consumption data, however, raise serious privacy concerns because sensitive information regarding an individual’s lifestyle can be revealed by analyzing these data. Although extensive research has been conducted to address these privacy concerns, previous approaches have reduced the quality of measured data. In this paper, we propose a new privacy-preserving electricity billing method that does not sacrifice data quality for privacy. The proposed method is based on the novel use of functional encryption. Experimental results on a prototype system using a real-world smart meter device and data prove the feasibility of the proposed method.

Keywords: smart meter; electricity billing; privacy; functional encryption; non-intrusive appliance load monitoring (NIALM); disaggregation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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