Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Next-Generation Personal Authentication Scheme Based on EEG Signal and Deep Learning

  • Yang, Gi-Chul (Dept. of Convergence Software, Mokpo National University)
  • Received : 2020.01.23
  • Accepted : 2020.05.18
  • Published : 2020.10.31
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Abstract

The personal authentication technique is an essential tool in this complex and modern digital information society. Traditionally, the most general mechanism of personal authentication was using alphanumeric passwords. However, passwords that are hard to guess or to break, are often hard to remember. There are demands for a technology capable of replacing the text-based password system. Graphical passwords can be an alternative, but it is vulnerable to shoulder-surfing attacks. This paper looks through a number of recently developed graphical password systems and introduces a personal authentication system using a machine learning technique with electroencephalography (EEG) signals as a new type of personal authentication system which is easier for a person to use and more difficult for others to steal than other preexisting authentication systems.

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