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Authenticating Clients without using their Login IDs through Mind Metrics
Background/Objectives: The main objective of this paper is to provide a novel method of identification and authentication of a user through a process of enhancing the password level protection to provide authorised use of the resources hosted on the WEB. Methods/Statistical Analysis: The authentication process that uses mind metrics has been implemented within ARM7 Micro controller which is made to act as central server. The process of authentication and the implementation of the same have been explained through an architectural diagram. Software which has been written using KEIL IDE is burnt into a Micro controller and the implementation of an authentication process has been implemented through a GSM device connected to a Micro controller. Findings: A novel approach that considers a Personnel secret token known as mind metrics has been presented. The server sends across the mind metrics to the user after completing the identification phase and the user from then uses password and mind metrics to carry secured communication between the user and the server. Applications/Improvements: The method has been implemented both as a software and hardware solution. The software solution has been implemented within a GSM application for enabling text message notification.
Keywords
ARM, Authentication, KEIL IDE, Key Loggers, Login systems, Mind Metrics.
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