Malware Collusion Attack against SVM: Issues and Countermeasures
Android has become the most popular mobile platform, and a hot target for malware developers. At the same time, researchers have come up with numerous ways to deal with malware. Among them, machine learning based methods are quite effective in Android malware detection, the accuracy of which can be...
Main Authors: | Hongyi Chen, Jinshu Su, Linbo Qiao, Qin Xin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/8/10/1718 |
Similar Items
-
Collusion Attack Resilient 3D Mesh Watermarking Based on Anti-Collusion Fingerprint Code
by: Jong-Uk Hou, et al.
Published: (2018-06-01) -
A blind video watermarking scheme resistant to rotation and collusion attacks
by: Amlan Karmakar, et al.
Published: (2016-04-01) -
Collusion Trap Against GVW’13 ABE
by: Yupu Hu, et al.
Published: (2019-01-01) -
Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs
by: Burhan Ul Islam Khan, et al.
Published: (2021-01-01) -
Usable Post-Classification Visualizations for Android Collusion Detection and Inspection
by: Barton, Daniel John Trevino
Published: (2016)