Blockchain and federated learning-based security solutions for telesurgery system: a comprehensive review

نویسندگان

چکیده

The advent of telemedicine with its remote surgical procedures has effectively transformed the working healthcare professionals. evolution facilitates monitoring patients that lead to telesurgery systems, i.e. one most critical applications in systems. Apart from gaining popularity, system may encounter security and trust issues patients? data while communicating surgeon for their treatment. Motivated by this, we have presented a comprehensive survey on secure systems comprising healthcare, robots, traditional role artificial intelligence deal numerous attacks associated patients' health data. Furthermore, propose blockchain federated learning-based communication between patient surgeon. results proposed are better than those terms improved latency, low storage cost, enhanced offloading. Finally, explore research challenges system.

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ژورنال

عنوان ژورنال: Turkish Journal of Electrical Engineering and Computer Sciences

سال: 2022

ISSN: ['1300-0632', '1303-6203']

DOI: https://doi.org/10.55730/1300-0632.3950