Oluwatobi Fowora, O. Okesola, A. Adebiyi, Marion O. Adebiyi
{"title":"Towards the Integration of Iris Biometrics in Automated Teller Machines(ATM)","authors":"Oluwatobi Fowora, O. Okesola, A. Adebiyi, Marion O. Adebiyi","doi":"10.1109/SEB-SDG57117.2023.10124646","DOIUrl":null,"url":null,"abstract":"Automated teller machines (ATMs) are now available almost everywhere, and for their ubiquity, they are being used casually with less attention to the security implication. Banks are getting concerned now with securing ATM transactions but all the proposals to combat the potential risks have not been effective. Integration of Iris Biometric System is hereby considered in this study to authenticate and verify the customers' identity. ATM plastic card is inserted into the ATM and an accurate combination of the customer's Personal Identification Number (PIN) and Iris biometric is matched with the host system at the bank. A successful match of these verification and authentication mechanisms grants the customers logical access into their individual account. The performance analysis shows that an improved ATM security against fraud and criminality is possible with the deployment of an iris biometrics scanner to confirm users.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEB-SDG57117.2023.10124646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Automated teller machines (ATMs) are now available almost everywhere, and for their ubiquity, they are being used casually with less attention to the security implication. Banks are getting concerned now with securing ATM transactions but all the proposals to combat the potential risks have not been effective. Integration of Iris Biometric System is hereby considered in this study to authenticate and verify the customers' identity. ATM plastic card is inserted into the ATM and an accurate combination of the customer's Personal Identification Number (PIN) and Iris biometric is matched with the host system at the bank. A successful match of these verification and authentication mechanisms grants the customers logical access into their individual account. The performance analysis shows that an improved ATM security against fraud and criminality is possible with the deployment of an iris biometrics scanner to confirm users.