Graphical Password Authentication using Cued Click Points (CCP)
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Users click on a point by image for a sequence of images. The next image is based on the previous click point. The performance was very good in terms of speed, precision and number of errors. Users preferred CCP to PassPoints (Wiedenbeck et al., 2005), saying that selecting and remembering only one point per image was easier, and seeing each image triggered their memory of where the corresponding point was.


Authentication is the process of determining whether to allow a user to access a particular system or resource. The user can not remember strong password easily and passwords that can be remembered are easy to guess. A password authentication system should encourage strong and less predictable passwords while maintaining memorability and security. This password authentication system allows for the user's choice while also influencing users to stronger passwords. The task of selecting weak passwords (which are easy to guess for attackers) is more tedious, it prevents users from making such decisions. Indeed, these authentication schemes make choosing a more secure password is the path of least resistance. Instead of increasing the burden on users, it is easier to follow system suggestions for a secure password - a feature that is missing in most schemes.

Several graphical password schemes have been proposed as alternatives to text-based passwords. Research and experience have demonstrated that text-based passwords are plagued by usability and security issues that make them less than desirable solutions. Psychology studies have revealed that the human brain is better at recognizing and retrieving images than graphic text passwords are intended to capitalize on this human trait in the hope that by reducing the memory load of users, they may occur Secure passwords and users will not resort to unsafe practices to deal with.

It can be understood in the following video:

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RE: Graphical Password Authentication using Cued Click Points (CCP) - by jaseela123d - 26-04-2017, 03:38 PM

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