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Ephemeral Elliptic Curve Diffie-Hellman to Secure Data Exchange in Internet of Medical Things Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Preserving the Privacy and Cybersecurity of Home Energy Data

Authors : Richard Bean, Yanjun Zhang, Ryan K.  L. Ko, Xinyu Mao, Guangdong Bai

Published in: Emerging Trends in Cybersecurity Applications

Publisher: Springer International Publishing

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Abstract

The field of energy data presents many opportunities for applying the principles of privacy and cybersecurity. In this chapter, we focus on home electricity data and the possible use and misuse of this data for attacks and corresponding protection mechanisms. If an attacker can deduce sufficiently precise information about a house location and its occupancy at given times, this may present a physical security threat.
We review previous literature in this area. We then obtain hourly solar generation data from over 2300 houses and develop an attack to identify the location of the houses using historical weather data. We discuss common use cases of home energy data and suggest defences against the proposed attack using privacy and cryptographic techniques.

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previous chapter Countering Cybersecurity Threats in Smart Grid Systems Using Machine Learning
next chapter Non-stationary Watermark-Based Attack Detection to Protect Cyber-Physical Control Systems
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Metadata
Title
Preserving the Privacy and Cybersecurity of Home Energy Data
Authors
Richard Bean
Yanjun Zhang
Ryan K.  L. Ko
Xinyu Mao
Guangdong Bai
Copyright Year
2023
Book
Emerging Trends in Cybersecurity Applications

Print ISBN: 978-3-031-09639-6

Electronic ISBN: 978-3-031-09640-2

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-09640-2_15