A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Podrobná bibliografie
Hlavní autoři:	Kabir, Solaiman, Sakib, Sadman, Hossain, Md. Akib, Islam, Safi
Další autoři:	Hossain, Muhammad Iqbal
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2021
Témata:	Intrusion Detection System (IDS) Multiclass classi fication CNN DNN Machine learning.
On-line přístup:	http://hdl.handle.net/10361/14733

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