TRI-CSAF: A Deep Learning Based Tri-Level Cyber-Security Assessment Framework for Telesurgery Systems

The suggested framework is evaluated using the ROSPaCe, ROSIDS23 and CICIoMT2024 datasets. Experimental results demonstrate that the proposed outperforms state-of-the-art solutions across all key evaluation metrics, thereby providing a robust and effective security defense mechanism for telesurgery systems.