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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
مؤلفون آخرون: Hossain, Muhammad Iqbal
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
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
الوصول للمادة أونلاين:http://hdl.handle.net/10361/15550

الانترنت

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

مواد مشابهة