Automation that actually understands your homelab.

This tool captures network packets, analyzes traffic patterns, and uses machine learning to detect anomalous behavior. It integrates with network security scanners to provide comprehensive threat ...

network-intrusion-detection-system/ ├── src/ │ ├── __init__.py │ ├── nids_engine.py # Core NIDS engine │ ├── packet_processor.py # Packet capture & preprocessing │ ├── feature_extractor.py # Feature ...

Abstract: Unsupervised medical anomaly detection aims to identify abnormal images by training exclusively on normal samples, thereby enabling the detection of disease related irregularities without ...

School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China. The rapid expansion of the Internet of Things (IoT), cloud computing, and remote work ...

Abstract: With the increasing complexity and diversification of network attack methods, traditional network anomaly detection approaches demonstrate significant limitations when processing ...

Cybersecurity professionals recognize that enterprise networks are prime targets for dark web risks such as ransomware, unauthorized insider activity, and data exfiltration. What’s less obvious is ...