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.

Библиографические подробности
Главные авторы:	Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Другие авторы:	Hossain, Muhammad Iqbal
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2021
Предметы:	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
Online-ссылка:	http://hdl.handle.net/10361/15550

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