A secure smart water meter data aggregation scheme based on edge computing

Hongbin Fan; Zhixin Zeng; Yining Liu

doi:10.1117/12.2659574

30 November 2022 A secure smart water meter data aggregation scheme based on edge computing

Hongbin Fan, Zhixin Zeng, Yining Liu

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124560X (2022) https://doi.org/10.1117/12.2659574
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

Smart metering was initially used for electricity and natural gas. Smart water meters (SWMs) have attracted much attention in recent years. SWMs are installed in users' homes to collect users with water consumption information. However, SWMs real-time data collection can reveal users' private information. The paper proposes a secure smart water meter data aggregation scheme based on edge computing. The solution adopts Boneh-Goh-Nissim cryptosystem, BLS short signature and edge computing to protect users' privacy information. It can resist various attacks and protect the water consumption data of users from being leaked. The solution can resist various attacks while protecting the user's water consumption data information from being leaked. The performance evaluation shows that the communication cost of this scheme are lower than those of the existing schemes.

Citation Download Citation

Hongbin Fan, Zhixin Zeng, and Yining Liu "A secure smart water meter data aggregation scheme based on edge computing", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124560X (30 November 2022); https://doi.org/10.1117/12.2659574

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available