Detecting crypto-ransomware in IoT networks based on energy consumption footprint

Azmoodeh, A., Dehghantanha, A., Conti, M. et al. (1 more author) (2018) Detecting crypto-ransomware in IoT networks based on energy consumption footprint. Journal of Ambient Intelligence and Humanized Computing, 9 (4). pp. 1141-1152. ISSN 1868-5137



Copyright, Publisher and Additional Information: © The Author(s) 2017. This article is an open access publication. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Ransomware detection; Power consumption; Internet of Things security; Machine learning; Malware detection; Android
  • Accepted: 28 July 2017
  • Published (online): 23 August 2017
  • Published: August 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 10:53
Last Modified: 12 Oct 2020 10:56
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number:

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