A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /

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Библиографические подробности
Главный автор:	Shadman, Samin
Соавтор:	Supervised by Maj Md Abdul Wahed (Instructor Class B , Dept. of EECE, MIST, Dhaka)
Формат:	‌
Язык:	английский
Опубликовано:	Dhaka : EECE DEPT. MIST, c2026.
Предметы:	Electrical, Electronic and Communication Engineering. This Thesis Paper of EECE in BSc Program.
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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