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.

書誌詳細
主要な著者:	Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
その他の著者:	Hossain, Muhammad Iqbal
フォーマット:	学位論文
言語:	en_US
出版事項:	Brac University 2022
主題:	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
オンライン･アクセス:	http://hdl.handle.net/10361/17213

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