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.

書誌詳細
主要な著者:	Ahmed, Md Faisal, Biash, Zarin Tasnim, Shakil, Abu Raihan, Ryen, Ahmed Ann Noor, Hossain, Arman
その他の著者:	Hossain, Muhammad Iqbal
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2021
主題:	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
オンライン･アクセス:	http://hdl.handle.net/10361/15550

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