A Multiclass Detection System for Android Malicious Apps Based on Color Image Features
A Multiclass Detection System for Android Malicious Apps Based on Color Image Features
About this item
Full title
Author / Creator
Hu, Yangye , Gao, Fei , Guo, Jing , Yan, Hanbing , Zhang, Boan , Qin, Jiawei , Zhang, Hua and Wang, Senmiao
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Subjects
More information
Scope and Contents
Contents
The visual recognition of Android malicious applications (Apps) is mainly focused on the binary classification using grayscale images, while the multiclassification of malicious App families is rarely studied. If we can visualize the Android malicious Apps as color images, we will get more features than using grayscale images. In this paper, a meth...
Alternative Titles
Full title
A Multiclass Detection System for Android Malicious Apps Based on Color Image Features
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_03094898v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_03094898v1
Other Identifiers
ISSN
1530-8669
E-ISSN
1530-8677
DOI
10.1155/2020/8882295
