2019 15th International Conference on Electronics, Computer and Computation (ICECCO) 2019
DOI: 10.1109/icecco48375.2019.9043287
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Four-Factors Authentication Algorithm For Preventing Fake Attendance

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Cited by 4 publications
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“…Moreover, some recent multi-factor authentication studies have presented new categorizations for each factor (Ali et al, 2021;Yazid et al, 2019;Liu et al, 2020) that are different from the traditional four factors emphasized in this paper; thus, these new, categorized factors can be overlapping in terms of the traditional categorization. Although the above studies have mentioned usability, the term is interpreted in different ways.…”
Section: Related Workmentioning
confidence: 89%
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“…Moreover, some recent multi-factor authentication studies have presented new categorizations for each factor (Ali et al, 2021;Yazid et al, 2019;Liu et al, 2020) that are different from the traditional four factors emphasized in this paper; thus, these new, categorized factors can be overlapping in terms of the traditional categorization. Although the above studies have mentioned usability, the term is interpreted in different ways.…”
Section: Related Workmentioning
confidence: 89%
“…Another two-factor participant time attendance system deployed QR code identity and face verification as a contactless method during the COVID-19 situation ( Pichetjamroen et al, 2021 ). A multi-factor method for student attendance uses face recognition with two different somewhere you are factors, including GPS and QR code (a student uses his/her mobile device to scan a QR code provided by a lecturer in a physical classroom) ( Yazid et al, 2019 ). A multi-modal attendance tracking system uses three different somewhere you are factors, including GPS, WiFi location, and Wireless Local-Area Network (WLAN) location along with consideration of reliability aspects, such as the number of Bluetooth devices around the user and the sojourn time within a designated area ( Liu et al, 2020 ).…”
Section: Related Workmentioning
confidence: 99%