A Survey on the Limitations of Graphical Password Scheme and the Mitigation of Proposed System

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Anil K. Jain et.al [1] reviews about the biometric system is viewed as signal detection system with pattern recognition architecture. The biometric signal is sensed with an extraction salient set of features and compares them against the feature sets residing in the database. It validates an identity or determines the associated signal. The sensing unit consists of a biometric sensor which it scans the biometric characteristic of an individual to produce a digital representation of the characteristic. Here the quality check is generally performed to ensure the acquired sample to be reliably processed by the successive stages. To facilitate matching, the digital input representation is further processed by the feature extractor to generate a compact. Here the feature set can be stored as a template for the future comparison. The feature set will pulling out the irrelevant and needless information from the sensed dimensions and gleans the useful information essential for matching.

Examples of biometric characteristics
(a) Face, (b) fingerprint, (c) hand geometry, (d) iris,
(e) Keystroke, (f) signature, and (g) voice.

Limitation:
If the biometric characteristics of face, iris, finger and voice got any damage by means, then the system will not authenticate the user to communicate with the server. In this approach the major drawback is that such systems can be more expensive, and the identification process can be slow and often unreliable.

R. Dhamija and A. Perrig [2] reviews about the projected method to improve the security of the systems based on recognition and recall based authentication schemas. The recognition based authentication system is used to authenticate a user thr...

... middle of paper ...

...words like text and biometric schemes has drawback such as cost, management and privacy. In this method they provoked the users to choose click based graphical passwords, instead of using keyboard. We are going to click on the meticulous points on the image. This method will be more easily recognizable and the user will simply recall the images compare to textual information. They advocate that the users could more easily memorize the multiple clicks based graphical passwords than the multiple text passwords.

Limitation:
In this process the users took maximum time approximately while entering their password to log in. The selected predetermined clicks should be remembered by the user else the system will not allow the user to communicate with the system further. As a result it is vulnerable to guessing attacks and hidden cameras.

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