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Increasingly, a fourth factor is coming into play involving the physical location of the user. While hard wired to the corporate network, a user could be allowed to login using only a pin code. Whereas if the user was off the network or working remotely, a more secure MFA method such as entering a code from a soft token as well could be required.
Behavioral aspects that are used include signature recognition, gait recognition, speaker recognition and typing pattern recognition. When a user registers with the system which he/she will attempt to access later, one or more of his/her physiological characteristics are obtained and processed by a numerical algorithm.
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The behavioral biometric of keystroke dynamics uses the manner and rhythm in which an individual types characters on a keyboard or keypad. [4] [5] [6] The user's keystroke rhythms are measured to develop a unique biometric template of the user's typing pattern for future authentication. [7]
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