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DOI: 10.14569/IJACSA.2019.0100140
PDF

The Coin Passcode: A Shoulder-Surfing Proof Graphical Password Authentication Model for Mobile Devices

Author 1: Teoh joo Fong
Author 2: Azween Abdullah
Author 3: NZ Jhanjhi
Author 4: Mahadevan Supramaniam

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 1, 2019.

  • Abstract and Keywords
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Abstract: Swiftness, simplicity, and security is crucial for mobile device authentication. Currently, most mobile devices are protected by a six pin numerical passcode authentication layer which is extremely vulnerable to Shoulder-Surfing attacks and Spyware attacks. This paper proposes a multi-elemental graphical password authentication model for mobile devices that are resistant to shoulder surfing attacks and spyware attacks. The proposed Coin Passcode model simplifies the complex user interface issues that previous graphical password models have, which work as a swift passcode security mechanism for mobile devices. The Coin Passcode model also has a high memorability rate compared to the existing numerical and alphanumerical passwords, as psychology studies suggest that human are better at remembering graphics than words. The results shows that the Coin Passcode is able to overcome the current shoulder-surfing and spyware attack vulnerability that existing mobile application numerical passcode authentication layers suffer from.

Keywords: Mobile graphical password; multi-elemental passcode; shoulder-surfing proof passcode; mobile authentication model

Teoh joo Fong, Azween Abdullah, NZ Jhanjhi and Mahadevan Supramaniam, “The Coin Passcode: A Shoulder-Surfing Proof Graphical Password Authentication Model for Mobile Devices” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100140

@article{Fong2019,
title = {The Coin Passcode: A Shoulder-Surfing Proof Graphical Password Authentication Model for Mobile Devices},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100140},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100140},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Teoh joo Fong and Azween Abdullah and NZ Jhanjhi and Mahadevan Supramaniam}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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