ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android

ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dades bibliogràfiques
Autors principals: Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Altres autors: Hossain, Muhammad Iqbal
Format: Thesis
Idioma:English
Publicat: Brac University 2021
Matèries:
Malware analysis
Cyber-security
Malware detection
Real-time analysis
Android application Neural network
Computer security
Malware (Computer software)
Machine learning
Application software > Development
Mobile computing
Accés en línia:http://hdl.handle.net/10361/15550

Internet

http://hdl.handle.net/10361/15550

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