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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
مؤلفون آخرون:	Hossain, Muhammad Iqbal
التنسيق:	أطروحة
اللغة:	en_US
منشور في:	Brac University 2022
الموضوعات:	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
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/17213

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