Intrusion and Anomaly Detection with LLMs
Research on using LLMs for detecting intrusions, anomalies, and malicious traffic in networks and computing systems
Intrusion and Anomaly Detection with LLMs
Research on Large Language Models in Intrusion and Anomaly Detection with LLMs
Next-Gen Intrusion Detection
Enhancing Cybersecurity with AI-Powered Payload Analysis
Combating Hidden Messages in Plain Sight
Multimodal AI for Detecting Euphemisms in Security Applications
Smarter IoT Security Through On-Device LLMs
Enhanced DDoS detection with lightweight AI and specialized knowledge
Securing O-RAN with AI-Powered Intrusion Detection
LLM-based security framework for next-generation wireless networks
TrafficLLM: Revolutionizing Network Security
Adapting LLMs for more effective threat detection in network traffic
