Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographic Details
Main Authors:	Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
Other Authors:	Hossain, Muhammad Iqbal
Format:	Thesis
Language:	en_US
Published:	Brac University 2022
Subjects:	Deep learning Intrusion Detection System IoT Security RNN GRU LSTM KDD-99 NSL-KDD IDS Vanilla LSTM Bidirectional LSTM Stacked LSTM Machine learning. Intrusion detection systems (Computer security) Internet of things
Online Access:	http://hdl.handle.net/10361/17213

Description
Summary:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

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