Machine learning aided Android malware classification

Milosevic, N., Dehghantanha, A. and Choo, K.-K.R. (2017) Machine learning aided Android malware classification. Computers & Electrical Engineering, 61. pp. 266-274. ISSN 0045-7906

Abstract

Metadata

Authors/Creators:
  • Milosevic, N.
  • Dehghantanha, A.
  • Choo, K.-K.R.
Copyright, Publisher and Additional Information: © 2017 Elsevier Ltd. This is an author produced version of a paper subsequently published in Computers & Electrical Engineering. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Static malware analysis; OWASP; Seraphimdroid Android app; Machine learning
Dates:
  • Published: July 2017
  • Published (online): 22 February 2017
  • Accepted: 13 February 2017
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: 09 Mar 2018 10:48
Last Modified: 12 Mar 2018 13:20
Published Version: https://doi.org/10.1016/j.compeleceng.2017.02.013
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.compeleceng.2017.02.013

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