{"title":"Protection of EEG Data using Blockchain Platform","authors":"Sujin Bak, Yeon Pyo, Jichai Jeong","doi":"10.1109/IWW-BCI.2019.8737260","DOIUrl":null,"url":null,"abstract":"Brain-computer interface can be currently accelerated to develop the exoskeleton for healthy people as well as patients who are unable to move muscles around the world. In this situation, the communication between the electroencephalogram (EEG) and prosthesis discovers the vulnerabilities to taking personal information. However, previous researches only focus on the analysis of attack pattern rather than fixing the vulnerability. In order to complement the vulnerability, we propose a blockchain platform in which try to identify the modulated data when server is attacked. Also, we find out potential risks in EEG data with non-blockchain environments after attack in our study. As a result, the proposed system can guarantee the integrity of EEG data by knowing the change of hash, and can prevent attacks such as hijacking, sniffing, and eavesdropping.","PeriodicalId":345970,"journal":{"name":"2019 7th International Winter Conference on Brain-Computer Interface (BCI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Winter Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2019.8737260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Brain-computer interface can be currently accelerated to develop the exoskeleton for healthy people as well as patients who are unable to move muscles around the world. In this situation, the communication between the electroencephalogram (EEG) and prosthesis discovers the vulnerabilities to taking personal information. However, previous researches only focus on the analysis of attack pattern rather than fixing the vulnerability. In order to complement the vulnerability, we propose a blockchain platform in which try to identify the modulated data when server is attacked. Also, we find out potential risks in EEG data with non-blockchain environments after attack in our study. As a result, the proposed system can guarantee the integrity of EEG data by knowing the change of hash, and can prevent attacks such as hijacking, sniffing, and eavesdropping.