Journal article
Detecting smart meter false data attacks using hierarchical feature clustering and incentive weighted anomaly detection
- Abstract:
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Spot pricing is often suggested as a method of increasing demand-side flexibility in electrical power load. However, few works have considered the vulnerability of spot pricing to financial fraud via false data injection (FDI) style attacks. The authors consider attacks which aim to alter the consumer load profile to exploit intraday price dips. The authors examine an anomaly detection protocol for cyber-attacks that seek to leverage spot prices for financial gain. In this way the authors out...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.4MB, Terms of use)
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- Publisher copy:
- 10.1049/cps2.12057
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Funding
Bibliographic Details
- Publisher:
- Wiley
- Journal:
- IET Cyber-Physical Systems: Theory & Applications More from this journal
- Volume:
- 8
- Issue:
- 4
- Pages:
- 257-271
- Publication date:
- 2023-05-09
- Acceptance date:
- 2023-04-12
- DOI:
- EISSN:
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2398-3396
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1337202
- Local pid:
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pubs:1337202
- Deposit date:
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2023-04-12
Terms of use
- Copyright holder:
- Higgins et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Authors. IET Cyber-Physical Systems: Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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