scholarly journals Privacy-Preserving Meter Report Protocol of Isolated Smart Grid Devices

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Zhiwei Wang ◽  
Hao Xie
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Security Analysis ◽  
Privacy Preserving ◽  
Main Concern ◽  
Signature Scheme ◽  
Personal Privacy ◽  
Smart Meters ◽  
Fine Grained ◽  
Constrained Devices

Smart grid aims to improve the reliability, efficiency, and security of the traditional grid, which allows two-way transmission and efficiency-driven response. However, a main concern of this new technique is that the fine-grained metering data may leak the personal privacy information of the customers. Thus, the data aggregation mechanism for privacy protection is required for the meter report protocol in smart grid. In this paper, we propose an efficient privacy-preserving meter report protocol for the isolated smart grid devices. Our protocol consists of an encryption scheme with additively homomorphic property and a linearly homomorphic signature scheme, where the linearly homomorphic signature scheme is suitable for privacy-preserving data aggregation. We also provide security analysis of our protocol in the context of some typical attacks in smart grid. The implementation of our protocol on the Intel Edison platform shows that our protocol is efficient enough for the physical constrained devices, like smart meters.

scholarly journals A Privacy-Preserving Noise Addition Data Aggregation Scheme for Smart Grid

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2972 ◽  
Author(s):  
Yuwen Chen ◽  
José-Fernán Martínez ◽  
Pedro Castillejo ◽  
Lourdes López
Keyword(s):  
Smart Grid ◽  
Personal Information ◽  
Homomorphic Encryption ◽  
Security Analysis ◽  
Electricity Consumption ◽  
Smart Meter ◽  
Smart Meters ◽  
Fine Grained ◽  
Aggregation Scheme ◽  
Reported Data

Smart meters are applied to the smart grid to report instant electricity consumption to servers periodically; these data enable a fine-grained energy supply. However, these regularly reported data may cause some privacy problems. For example, they can reveal whether the house owner is at home, if the television is working, etc. As privacy is becoming a big issue, people are reluctant to disclose this kind of personal information. In this study, we analyzed past studies and found that the traditional method suffers from a meter failure problem and a meter replacement problem, thus we propose a smart meter aggregation scheme based on a noise addition method and the homomorphic encryption algorithm, which can avoid the aforementioned problems. After simulation, the experimental results show that the computation cost on both the aggregator and smart meter side is reduced. A formal security analysis shows that the proposed scheme has semantic security.

scholarly journals Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2085 ◽  
Author(s):  
An Braeken ◽  
Pardeep Kumar ◽  
Andrew Martin
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Smart Meters ◽  
Life Patterns ◽  
Consumption Data ◽  
Secure Data ◽  
Secure Data Aggregation ◽  
Privacy Issues

The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-to-end secure data aggregation, together with accurate and dynamic billing offering privacy protection. Compared with the related work, the scheme provides a balanced trade-off between security and efficacy (i.e., low communication and computation overhead while providing robust security).

Lightweight and Fine-Grained Privacy-Preserving Data Aggregation Scheme in Edge Computing

2021 ◽  
pp. 1-10
Author(s):  
Hongyang Li ◽  
Qingfeng Cheng ◽  
Xinghua Li ◽  
Siqi Ma ◽  
Jianfeng Ma
Keyword(s):  
Data Aggregation ◽  
Privacy Preserving ◽  
Edge Computing ◽  
Fine Grained ◽  
Aggregation Scheme

Privacy-Preserving Authentication and Data Aggregation for Fog-Based Smart Grid

2019 ◽  
Vol 57 (6) ◽  
pp. 80-85 ◽  
Author(s):  
Liehuang Zhu ◽  
Meng Li ◽  
Zijian Zhang ◽  
Chang Xu ◽  
Ruonan Zhang ◽  
...  
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Privacy Preserving

Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid Against Internal Adversaries

2017 ◽  
Vol 8 (5) ◽  
pp. 2411-2419 ◽  
Author(s):  
Debiao He ◽  
Neeraj Kumar ◽  
Sherali Zeadally ◽  
Alexey Vinel ◽  
Laurence T. Yang
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Privacy Preserving ◽  
Aggregation Scheme
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