Privacy-Preserving LLM for UAV Swarms in Secure IoT Surveillance

This research paper explores a novel application of Large Language Models (LLMs) to enhance the security and privacy of IoT surveillance systems using Unmanned Aerial Vehicle (UAV) swarms. The core innovation lies in the integration of LLMs with privacy-preserving techniques to address critical concerns around data security and individual privacy.

• •Focuses on privacy-preserving techniques within a specific, emerging application: UAV swarms for IoT.
• •Utilizes LLMs, indicating a cutting-edge approach to data processing and decision-making within the swarms.
• •Addresses crucial concerns regarding data security and individual privacy in surveillance contexts.