Openly accessible

LSTM android malicious behavior analysis based on feature weighting

Yang, Qing, Wang, Xiaoliang, Zheng, Jing, Ge, Wenqi, Bai, Ming and Jiang, Frank 2021, LSTM android malicious behavior analysis based on feature weighting, KSII transactions on internet and information systems, vol. 15, no. 6, pp. 2188-2203, doi: 10.3837/tiis.2021.06.014.

Attached Files
Name Description MIMEType Size Downloads

Title LSTM android malicious behavior analysis based on feature weighting
Author(s) Yang, Qing
Wang, Xiaoliang
Zheng, Jing
Ge, Wenqi
Bai, Ming
Jiang, FrankORCID iD for Jiang, Frank orcid.org/0000-0003-3088-8525
Journal name KSII transactions on internet and information systems
Volume number 15
Issue number 6
Start page 2188
End page 2203
Total pages 16
Publisher Korean Society for Internet Information (KSII)
Place of publication Seoul, Republic of Korea
Publication date 2021-06-30
ISSN 1976-7277
2288-1468
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Telecommunications
Computer Science
Android Security
Deep Learning
LSTM
Static Analysis
TF-IDF
Language eng
DOI 10.3837/tiis.2021.06.014
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30153749

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 26 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 22 Jul 2021, 11:05:25 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.