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.

Dettagli Bibliografici
Autori principali: Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Altri autori: Hossain, Muhammad Iqbal
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2021
Soggetti:
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
Accesso online:http://hdl.handle.net/10361/15550

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