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GitHub22d
Releases · sharjeel-siddiqui12/Intrusion-detection-system-using-MBGWO-and-Random-Forest-TON_IoT_dataset - GitHub
Contribute to sharjeel-siddiqui12/Intrusion-detection-system-using-MBGWO-and-Random-Forest-TON_IoT_dataset development by creating an account on GitHub.
Semiconductor Engineering1d
GNN-Based Framework for Hardware Trojan Detection, Including RISC-V Cores
Hardware Trojans Detection Using GNN in RTL Designs” was published by researchers at University of Connecticut and University ...
IEEE20d
A generation of dataset towards an Anomaly-Based Intrusion Detection System to detect Denial of Sleep Attacks in Internet of Things (IoT)
However, the lack of a proper dataset to train and evaluate these machine learning models appears as a major obstacle for an intelligent intrusion detection system. So, in this paper, we are going to ...
IEEE25d
PNet-IDS: A Lightweight and Generalizable Convolutional Neural Network for Intrusion Detection in Internet of Things - IEEE Xplore
Network Intrusion Detection Systems (NIDS) play a crucial role in IoT security. In recent years, deep learning-based intrusion detection systems have demonstrated excellent performance. However, the ...
GitHub22d
DeepSentinel-u/Real-Time-Drone-Classification-using-YOLO-and-Anti-UAV-Dataset: Real-time AI-powered intrusion detection using vision models and GUI - GitHub
S300 Dataset: RGBT-based Anti-UAV dataset with infrared and visible images. S410 Dataset: Higher resolution UAV dataset with detailed annotations. Models trained include YOLOv8 with .pt and .onnx ...