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.

Bibliografiska uppgifter
Huvudupphovsmän: Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
Övriga upphovsmän: Hossain, Muhammad Iqbal
Materialtyp: Lärdomsprov
Språk:en_US
Publicerad: Brac University 2022
Ämnen:
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
Länkar:http://hdl.handle.net/10361/17213

Internet

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

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