An ultra-lightweight data-aggregation scheme with deep learning security for smart grid

Gope, P., Sharma, P.K. and Sikdar, B. (2022) An ultra-lightweight data-aggregation scheme with deep learning security for smart grid. IEEE Wireless Communications, 29 (2). pp. 30-36. ISSN 1536-1284

Abstract

Metadata

Authors/Creators:
  • Gope, P.
  • Sharma, P.K.
  • Sikdar, B.
Copyright, Publisher and Additional Information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Data privacy; Deep learning; Power demand; Data aggregation; Collaborative work
Dates:
  • Published (online): 1 April 2022
  • Published: April 2022
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: 27 Jun 2022 10:56
Last Modified: 27 Jun 2022 10:56
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/mwc.003.2100273

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