Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning

Dehghantanha, A., Azmoodeh , A. and Choo, K.-K.R. (2018) Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning. IEEE Transactions on Sustainable Computing. ISSN 2377-3782

Abstract

Metadata

Authors/Creators:
  • Dehghantanha, A.
  • Azmoodeh , A.
  • Choo, K.-K.R.
Copyright, Publisher and Additional Information: © 2018 Institute of Electrical and Electronics Engineers (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: Internet of Things Malware; Internet Of Battlefield Things; Malware Detection; Deep Eigenspace Learning; Deep Learning; Machine Learning
Dates:
  • Published (online): 27 February 2018
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: 12 Mar 2018 09:29
Last Modified: 21 Mar 2018 07:41
Published Version: https://doi.org/10.1109/TSUSC.2018.2809665
Status: Published online
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/TSUSC.2018.2809665

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