Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Intelligent IoT Intrusion Detection

• Published in: 2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT) pp. 189 - 195
• Main Authors: Imani, Fatemeh, Kargar, Masoud, Assadzadeh, Alireza, Bayani, Ali
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14.05.2024
• Subjects: Accuracy; Anomaly Detection; Deep Learning; Filtering; Internet of Things; Intrusion detection; IoT Intrusion Detection; Network Traffic Analysis; Noise reduction; Privacy; Robustness; Smart cities

In the rapidly evolving landscape of the Internet of Things (IoT), securing networked devices against malicious intrusions is of paramount importance. This paper presents a novel approach for Intelligent IoT Intrusion Detection, leveraging integrated Convolutional Neural Network (CNN) and Long Short...