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.

书目详细资料
Main Authors: Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
其他作者: Hossain, Muhammad Iqbal
格式: Thesis
语言:en_US
出版: Brac University 2022
主题:
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
在线阅读:http://hdl.handle.net/10361/17213

因特网

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

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