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.

Xehetasun bibliografikoak
Egile Nagusiak: Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Beste egile batzuk: Hossain, Muhammad Iqbal
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2021
Gaiak:
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
Sarrera elektronikoa:http://hdl.handle.net/10361/15550
Deskribapena
Gaia:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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