Malware variant identification using incremental clustering

Title: Malware variant identification using incremental clustering
Creator: Black, Paul; Gondal, Iqbal; Bagirov, Adil; Moniruzzaman, Md
Date: 2021
Type: Text; Journal article
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/177851
Identifier: vital:15320
Identifier: https://doi.org/10.3390/electronics10141628
Identifier: ISBN:2079-9292
Relation: Electronics Vol. 10, no. 14 (2021), p.; http://purl.org/au-research/grants/arc/DP190100580
Rights: All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
Rights: https://creativecommons.org/licenses/by/4.0/
Rights: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Rights: Open Access
Subject: 0906 Electrical and Electronic Engineering
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Funder: The research by Adil Bagirov is supported by the Australian Government through the Australian Research Council’s Discovery Projects funding scheme (Project No. DP190100580)

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