文献类型： 会议论文
第一作者： Gyula ádám Nemes
作者： Gyula ádám Nemes 1 ; Bence Tureczki 2 ; Katalin Szenes 3 ; Gy?rgy Eigner 4 ;
作者机构： 1.Physiological Controls Research Center, óbuda University|Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, óbuda University|Doctoral School of Applied Informatics and Applied Mathematics, John von Neumann Faculty of Informatics, óbuda University, Be?si road 96/B, Budapest, Hungary
2.Doctoral School of Applied Informatics and Applied Mathematics, John von Neumann Faculty of Informatics, óbuda University, Be?si road 96/B, Budapest, Hungary
3.Institute for Cyber-Physical Systems, John von Neumann Faculty of Informatics, óbuda University, Be?si road 96/B, Budapest, Hungary
4.Physiological Controls Research Center, óbuda University|Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, óbuda University
关键词： Access control;Data privacy;Smart contracts;Memory;Information security;Electroencephalography;Robustness
会议名称： IEEE International Symposium on Computational Intelligence and Informatics
主办单位：
页码： 317-322
摘要： This paper introduces a blockchain-based solution for secure and efficient management of personal and EEG data for research subjects. Our approach separates but interlinks the data to ensure privacy and integrity, with role-based access controls implemented via a Solidity smart contract on the Ethereum blockchain. We integrate the principles of operational excellence to enhance traditional information security methodologies, focusing on a more comprehensive understanding and functionality of data management. Our method offers a secure, efficient, and user-friendly data management system, drawing stakeholders closer to essential professional practices and upholding the values of privacy and integrity.
分类号： tp3
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