Share This Author
Preliminary Results of Applying Machine Learning Algorithms to Android Malware Detection
- M. Leeds, T. Atkison
- Computer ScienceInternational Conference on Computational Science…
- 1 December 2016
The preliminary research presented in this paper focuses on examining permission requests made by Android apps as a means for detecting malware by using a machine learning algorithm, and is able to differentiate between benign and malicious apps.
A Comparison of Features for Android Malware Detection
This research examines two types of features of Android applications, permission requests and system calls, as a way to detect malware, and is able to differentiate between benign and malicious apps by applying a machine learning algorithm.
Examining Features for Android Malware Detection
The research presented in this paper expands upon previous work that applied machine learning techniques to the area of Android malware detection by examining Java API call data as a method for malware detection using the JAVA API call feature.