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.

Detaylı Bibliyografya
Asıl Yazarlar: Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
Diğer Yazarlar: Hossain, Muhammad Iqbal
Materyal Türü: Tez
Dil:en_US
Baskı/Yayın Bilgisi: Brac University 2022
Konular:
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 Erişim:http://hdl.handle.net/10361/17213
Diğer Bilgiler
Özet: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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