Khattak, A.M. orcid.org/0000-0002-0630-1264, Khanji, S.I. orcid.org/0000-0002-3514-6398 and Khan, W.A. (2019) Smart meter security: vulnerabilities, threat impacts, and countermeasures. In: Lee, S., Ismail, R. and Choo, H., (eds.) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019, 04-06 Jan 2019, Phuket, Thailand. Advances in Intelligent Systems and Computing, AISC 935 . Springer International Publishing , pp. 554-562. ISBN 9783030190620
Abstract
Advanced Metering Infrastructure (AMI) is the aggregation of smart meters, communications networks, and data management systems that are tailored to meet the efficient integration of renewable energy resources. The more complex features and soundless functionalities the AMI is enhanced with, the more cyber security concerns are raised and must be taken into consideration. It is imperative to assure consumer’s privacy and security to guarantee the proliferation of rolling out smart metering infrastructure. This research paper analyzes AMI from security perspectives; it discusses the possible vulnerabilities associated with different attack surfaces in the smart meter, their security and threat implications, and finally it recommends proper security controls and countermeasures. The research findings draw the foundation upon which robust security by design approach is geared for the deployment of the AMI in the future.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 Springer Nature Switzerland AG. |
Keywords: | Information and Computing Sciences; Cybersecurity and Privacy |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Mar 2025 14:53 |
Last Modified: | 26 Mar 2025 14:53 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Advances in Intelligent Systems and Computing |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-19063-7_44 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224853 |