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Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids

Gope, Prosanta; Sikdar, Biplab

Authors

Prosanta Gope

Biplab Sikdar



Abstract

The concept of smart metering allows real-time measurement of power demand which in turn is expected to result in more efficient energy use and better load balancing. However, finely granular measurements reported by smart meters can lead to starkly increased exposure of sensitive information, including various personal attributes and activities. Even though several security solutions have been proposed in recent years to address this issue, most of the existing solutions are based on publickey cryptographic primitives such as homomorphic encryption, elliptic curve digital signature algorithms (ECDSA), etc. which are ill-suited for the resource constrained smart meters. On the other hand, to address the computational inefficiency issue, some masking-based solutions have been proposed. However, these schemes cannot ensure some of the imperative security properties such as consumer’s privacy, sender authentication, etc. In this paper, we first propose a lightweight and privacyfriendly masking-based spatial data aggregation scheme for secure forecasting of power demand in smart grids. Our scheme only uses lightweight cryptographic primitives such as hash functions, exclusive-OR operations, etc. Subsequently, we propose a secure billing solution for smart grids. As compared to existing solutions, our scheme is simple and can ensure better privacy protection and computational efficiency, which are essential for smart grids.

Citation

Gope, P., & Sikdar, B. (2019). Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids. IEEE transactions on information forensics and security, 14(6), 1554 - 1566. https://doi.org/10.1109/TIFS.2018.2881730

Journal Article Type Article
Acceptance Date Oct 27, 2018
Online Publication Date Nov 16, 2018
Publication Date 2019-06
Deposit Date Nov 23, 2018
Publicly Available Date Nov 23, 2018
Journal IEEE Transactions on Information Forensics and Security
Print ISSN 1556-6013
Electronic ISSN 1556-6021
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 14
Issue 6
Pages 1554 - 1566
DOI https://doi.org/10.1109/TIFS.2018.2881730
Keywords Computer Networks and Communications; Safety, Risk, Reliability and Quality
Public URL https://hull-repository.worktribe.com/output/1160140
Publisher URL https://ieeexplore.ieee.org/document/8537927

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