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.

Chi tiết về thư mục
Những tác giả chính: Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
Tác giả khác: Hossain, Muhammad Iqbal
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2021
Những chủ đề:
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
Truy cập trực tuyến:http://hdl.handle.net/10361/15550

Internet

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

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