Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks

Hei, Y, Yang, R orcid.org/0000-0001-6334-4925, Peng, H et al. (6 more authors) (2021) Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-2388



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Keywords: Android; graph representation learning; heterogeneous information network (HIN); malware detection
  • Accepted: 13 August 2021
  • Published (online): 27 August 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/T01461X/1
Depositing User: Symplectic Publications
Date Deposited: 16 Aug 2021 09:25
Last Modified: 13 Mar 2023 14:40
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TNNLS.2021.3105617