A Multiclass Detection System for Android Malicious Apps Based on Color Image Features. (16th December 2020)
- Record Type:
- Journal Article
- Title:
- A Multiclass Detection System for Android Malicious Apps Based on Color Image Features. (16th December 2020)
- Main Title:
- A Multiclass Detection System for Android Malicious Apps Based on Color Image Features
- Authors:
- Zhang, Hua
Qin, Jiawei
Zhang, Boan
Yan, Hanbing
Guo, Jing
Gao, Fei
Wang, Senmiao
Hu, Yangye - Other Names:
- Wang Ding Academic Editor.
- Abstract:
- Abstract : 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 method of color visualization for Android Apps is proposed and implemented. Based on this, combined with deep learning models, a multiclassifier for the Android malicious App families is implemented, which can classify 10 common malicious App families. In order to better understand the behavioral characteristics of malicious Apps, we conduct a comprehensive manual analysis for a large number of malicious Apps and summarize 1695 malicious behavior characteristics as customized features. Compared with the App classifier based on the grayscale visualization method, it is verified that the classifier using the color visualization method can achieve better classification results. We use four types of Android App features: classes.dex file, sets of class names, APIs, and customized features as input for App visualization. According to the experimental results, we find out that using the customized features as the color visualization input features can achieve the highest detection accuracy rate, which is 96% in the ten malicious families.
- Is Part Of:
- Wireless communications and mobile computing. Volume 2020(2020)
- Journal:
- Wireless communications and mobile computing
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-16
- Subjects:
- Wireless communication systems -- Periodicals
Mobile communication systems -- Periodicals
621.38205 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/15308677 ↗
https://www.hindawi.com/journals/wcmc/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1155/2020/8882295 ↗
- Languages:
- English
- ISSNs:
- 1530-8669
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9323.860000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15374.xml