Next-Generation Personal Authentication Scheme Based on EEG Signal and Deep Learning
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The personal authentication technique is an essential tool in this complex and modern digital informationsociety. Traditionally, the most general mechanism of personal authentication was using alphanumericpasswords. However, passwords that are hard to guess or to break, are often hard to remember. There aredemands for a technology capable of replacing the text-based password system. Graphical passwords can be analternative, but it is vulnerable to shoulder-surfing attacks. This paper looks through a number of recentlydeveloped graphical password systems and introduces a personal authentication system using a machinelearning technique with electroencephalography (EEG) signals as a new type of personal authentication systemwhich is easier for a person to use and more difficult for others to steal than other preexisting authenticationsystems.
Abstract
The personal authentication technique is an essential tool in this complex and modern digital informationsociety. Traditionally, the most general mechanism of personal authentication was using alphanumericpasswords. However, passwords that are hard to guess or to break, are often hard to remember. There aredemands for a technology capable of replacing the text-based password system. Graphical passwords can be analternative, but it is vulnerable to shoulder-surfing attacks. This paper looks through a number of recentlydeveloped graphical password systems and introduces a personal authentication system using a machinelearning technique with electroencephalography (EEG) signals as a new type of personal authentication systemwhich is easier for a person to use and more difficult for others to steal than other preexisting authenticationsystems.
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