DL-based Framework for Malicious Node Detection in PoS Blockchains to Secure Telesurgery Systems
Ruparelia, Vidhi Jain, Kanak Shah, Khushi Pathak, Lakshit Gupta, Rajesh Tanwar, Sudeep Guizani, Mohsen
Ruparelia, Vidhi
Jain, Kanak
Shah, Khushi
Pathak, Lakshit
Gupta, Rajesh
Tanwar, Sudeep
Guizani, Mohsen
Supervisor
Department
Machine Learning
Embargo End Date
Type
Conference proceeding
Date
2025
License
Language
English
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
Telesurgery is transforming healthcare by enabling surgeons to perform operations remotely through robotic systems connected to high-speed networks. The reliability and safety of these procedures depend on seamless communication, often secured using Proof-of-Stake (PoS) blockchain technology to ensure data integrity and validate transactions. However, malicious nodes within PoS blockchain networks pose significant risks by introducing delays, invalidating legitimate transactions, or colluding to compromise the system. This paper proposes a Deep Learning (DL) based framework to detect malicious nodes in PoS-based blockchain applications, ensuring secure and reliable operations. Using a dataset of node activity, DL models—LSTM, 1D-CNN, and FFNN—were trained with optimizers including Adam, Nadam, and RMSprop. Among these, the LSTM model with RMSprop achieved the highest detection accuracy of 87.37%. The framework enhances security by enabling real-time malicious node detection and communication monitoring, addressing key challenges in blockchain integrity and operational precision, ultimately ensuring the security and reliability of blockchain-integrated telesurgical systems.
Citation
V. Ruparelia et al., "DL-based Framework for Malicious Node Detection in PoS Blockchains to Secure Telesurgery Systems," 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 752-757, doi: 10.1109/IWCMC65282.2025.11059681
Source
Proceedings of the International Wireless Communications and Mobile Computing
Conference
2025 International Wireless Communications and Mobile Computing (IWCMC), 2025
Keywords
Telesurgery, Proof of Stake, Blockchain, Deep Learning, Artificial intelligence
Subjects
Source
2025 International Wireless Communications and Mobile Computing (IWCMC), 2025
Publisher
IEEE