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.

Détails bibliographiques
Auteurs principaux:	Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
Autres auteurs:	Hossain, Muhammad Iqbal
Format:	Thèse
Langue:	en_US
Publié:	Brac University 2022
Sujets:	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
Accès en ligne:	http://hdl.handle.net/10361/17213

Description
Résumé:	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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