Classified risk assessment method of Android application based on multi-factor clustering selection
Most existing risk assessments of Android applications directly assign weights to factors according to experience, and calculate security risks by counting the frequency statistics of few factors.A new method for risk assessment of Android applications is proposed, which can provide both quantitativ...
Saved in:
| Main Authors: | Fan CHAO, Zhi YANG, Xuehui DU, Bing HAN |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2021-04-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Android malware detection method based on deep neural network
by: Fan CHAO, et al.
Published: (2020-10-01) -
A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain
by: Parnika Bhat, et al.
Published: (2022-11-01) -
Android Kötücül Yazılım Tespit Sistemleri İncelemesi
by: Ömer KİRAZ, et al.
Published: (2017-01-01) -
Android Kötücül Yazılım Tespit Sistemleri İncelemesi
by: Ömer KİRAZ, et al.
Published: (2017-10-01) -
Android Kötücül Yazılım Tespit Sistemleri İncelemesi
by: Ömer KİRAZ, et al.
Published: (2017-01-01)