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.

Bibliografiske detaljer
Main Authors:	Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Andre forfattere:	Hossain, Muhammad Iqbal
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	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 adgang:	http://hdl.handle.net/10361/15550

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