{"title":"A New Solution to the Brain State Permanency for Brain-Based Authentication Methods","authors":"Fares Yousefi, H. Kolivand","doi":"10.1109/CAIDA51941.2021.9425075","DOIUrl":null,"url":null,"abstract":"Nowadays, to access any digital device we use authentication techniques, which is a critical technology in terms of security. Present biometric authentications such as fingerprints or face recognition are the most used methods in our digitalized world, which are impressively advantageous in terms of security. However, there are still some flaws in using these methods like not being useful for physical disabilities, environment usage matters, and most importantly the possibility of replicating them with some new technologies because of their visibility. Brain signal is another human biometric that could cover the issues of other types in terms of security and visibility. There are different perspectives about the EEG authentication challenges, including ease of use, privacy, and confirmation necessities like comprehensiveness, uniqueness, collectability, and most importantly permanency which is a big challenge for EEG-based authentications specifically. In this paper, we proposed a method using the deep breath strategy to use brain signals for authentication purposes regardless of brain situation. The result shows that our proposal accomplishment can alter the entire cycle of brain-based authentication when compared with other techniques and EEG-based authentication methods according to the parameter of permanency of the technique in many different brain states.","PeriodicalId":272573,"journal":{"name":"2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIDA51941.2021.9425075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays, to access any digital device we use authentication techniques, which is a critical technology in terms of security. Present biometric authentications such as fingerprints or face recognition are the most used methods in our digitalized world, which are impressively advantageous in terms of security. However, there are still some flaws in using these methods like not being useful for physical disabilities, environment usage matters, and most importantly the possibility of replicating them with some new technologies because of their visibility. Brain signal is another human biometric that could cover the issues of other types in terms of security and visibility. There are different perspectives about the EEG authentication challenges, including ease of use, privacy, and confirmation necessities like comprehensiveness, uniqueness, collectability, and most importantly permanency which is a big challenge for EEG-based authentications specifically. In this paper, we proposed a method using the deep breath strategy to use brain signals for authentication purposes regardless of brain situation. The result shows that our proposal accomplishment can alter the entire cycle of brain-based authentication when compared with other techniques and EEG-based authentication methods according to the parameter of permanency of the technique in many different brain states.