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.

Bibliografiset tiedot
Päätekijät: Kabir, Solaiman, Sakib, Sadman, Hossain, Md. Akib, Islam, Safi
Muut tekijät: Hossain, Muhammad Iqbal
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2021
Aiheet:
Intrusion Detection System (IDS)
Multiclass classi fication
CNN
DNN
Machine learning.
Linkit:http://hdl.handle.net/10361/14733

Internet

http://hdl.handle.net/10361/14733

Samankaltaisia teoksia