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.

Detalhes bibliográficos
Main Authors: Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Outros Autores: Hossain, Muhammad Iqbal
Formato: Thesis
Idioma:English
Publicado em: Brac University 2021
Assuntos:
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
Acesso em linha:http://hdl.handle.net/10361/15550

Internet

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

Registos relacionados