Can I read IoT Intrusion Detection with HDCNN & BiLSTM on EtoBox?

IoT Intrusion Detection with HDCNN & BiLSTM by laluashar05 is a document available to read on EtoBox.

What is IoT Intrusion Detection with HDCNN & BiLSTM about?

The document discusses a study on enhancing intrusion detection in IoT networks using a hybrid deep learning model combining Deep Convolutional Neural Networks (DCNN) and Bidirectional Long Short-Term Memory (BiLSTM) to address challenges posed by imbalanced datasets. It employs the Synthetic Minority Oversampling Technique (SMOTE) to improve model performance, achieving over 99% accuracy in detecting various types of attacks. The study utilizes the UNSW-NB15 and TON-IOT datasets for evaluation, demonstrati

Author

laluashar05

Language

EN