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Data · dataset · 2026

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

Listed in Teesside University Research Data Repository

The suggested framework is evaluated using the ROSPaCe, ROSIDS23 and CICIoMT2024 datasets.

Description

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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Where it is published

Catalogue records · 1

Topics

From keywords
Computer Science & AI · Deep learning · Earth & Environmental Science
Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/ckz6ktv3g5.111 h agoJSON v1
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