This research introduces an integrated security framework that leverages large language models to protect O-RAN wireless networks through intelligent intrusion detection and secure network slicing.

• Combines LLM-based threat detection with customized xApp architecture for real-time security monitoring
• Implements secure network slicing to isolate and protect different network segments based on specific requirements
• Demonstrates effectiveness through practical deployment scenarios in O-RAN environments
• Offers a proactive security approach that adapts to emerging threats in multi-vendor network deployments

This research is significant for telecommunications security as O-RAN architectures become increasingly adopted, providing a foundation for protecting critical infrastructure while maintaining the cost and flexibility benefits of open networks.

Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments