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

Published: 6 September 2026| Version 1 | DOI: 10.17632/ckz6ktv3g5.1
Contributors:
N Hiranmayee, Dr. G. Zayaraz

Description

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.

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Categories

Cybersecurity, Deep Learning

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