- Research on harmful behaviors; and methods to prevent and evaluate the security levels of Android apps.
- Propose a new method to estimate security levels based on control of the application's information and behavior.
- Develop a program to detect in  case application leaks information and evaluate the safety level of Android device.

-    Theoretical results: 01 paper in SCIE jounal; 01 paper in international conference
-    Application results: 01 software is named sProtect which is able to detect malware application and evaluate the safety level of Android device.
-    Education results: support 01 PhD student; 02 Master students.

-    New proposal methods on malware detection on Android OS
-    Implement new idea on the sProtect application which has been published on Google Play market

- Scientific papers in referred journals (list):
+ Duc V. Nguyen, Giang L. Nguyen, Thang T. Nguyen, Anh H. Ngo and Giang T. Pham “MINAD: Multi-inputs Neural Network based on Application Structure for Android Malware Detection. Peer-to-Peer Netw. Appl. (2021). https://doi.org/10.1007/s12083-021-01244-w. (SCIE Journal)
+ Duc V. Nguyen, and Giang T. Pham “NADM: Neural Network for Android Detection Malware”, In Proceedings of the Ninth International Symposium on Information and Communication Technology (SoICT 2018). Association for Computing Machinery, New York, NY, USA, 449–455. DOI:https://doi.org/10.1145/3287921.3287977
- Technological products (describe in details: technical characteristics, place): Application software " sProtect: Antivirus & Evaluate Security " on Google Play app store.