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

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.

Dades bibliogràfiques
Autors principals: Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
Altres autors: Hossain, Muhammad Iqbal
Format: Thesis
Idioma:en_US
Publicat: Brac University 2022
Matèries:
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
Accés en línia:http://hdl.handle.net/10361/17213

Internet

http://hdl.handle.net/10361/17213

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