Persuasive cued click-points: Design, implementation, and evaluation of a knowledge-based “Graphical password authentication using cued click points. Request PDF on ResearchGate | Graphical Password Authentication Using Cued Click Points | We propose and examine the usability and. Cued Click Points Password Authentication using Picture Grids. Article (PDF . new click-based graphical password scheme called Cued.

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After done with all these above procedure, user profile vector will be opened.

Initially eight participants are considered for the experiment. This project is based on recall based Technique.


Because it will take more time to select a click point on 5 different images, but it provides more security. Instead, they create short, simple, and insecure passwords. Ideally, a larger theoretical password space lowers the likelihood that any particular guess is correct for a aythentication password.

Of interest herein are cued-recall click-based graphical passwords also known as locimetric[12]. The area around an original click point accepted as correct since it is unrealistic to expect user to accurately target ysing exact pixel. It is the most widely used approach to scaling responses in survey research, such that the term is often used interchangeably with rating scale, or more accurately the Likert-type scale, even though the two are not synonymous.


grapyical The scale is named after its inventor, psychologist RensisLikert. Given that PCCP passwords are essentially indistinguishable from random for click-point distributions along the x- and y-axes, angles, slopes, and shapes see technical report such pattern-based attacks would be ineffective against PCCP passwords.

Authentication Using Graphical Passwords: Those who shuffled a lot felt that the viewport hindered their ability to select the most obvious click-point on an image and that they had to shuffle repeatedly in order to reach this desired point. This design decision had the effect of deemphasizing the edges of the image, slightly favoring the central area. The claimed advantages are that password entry becomes a true cued-recall scenario, wherein each image triggers the memory of a corresponding click-point.

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Previous models have shown that hotspots are a problem in click-based graphical passwords, leading to a reduced effective password space that facilitates more successful dictionary attacks.

We investigated whether password choice could be influenced by persuading users to select more random click-points while still maintaining usability. We use persuasion to influence user choice is used in click-based graphical passwords, encouraging users to select more random, and hence more difficult to guess, click-points.

The viewport is positioned randomly rather than specifically to avoid known hotspots, since such information could be used by attackers to improve guesses and could also lead to the formation of new hotspots. Then images are displayed normally, without shading or the viewport, and repeat the sequence of clicks in the correct order, within a system-defined tolerance square of the original click-points.

Password capture attacks occur when attackers directly obtain passwords or parts thereof by intercepting user entered data, or by tricking users into revealing their passwords.

We suspect that PCCP participants had more difficulty initially learning their password because they were selecting click-points that were less obvious than those chosen by PassPoints and CCP participants.

It is the process by which the person standing behind the person entering the password observes the password. Success rates within three attempts indicate that fewer than three mistakes. Users were required to select a click-point within this highlighted viewport and could not click outside of this viewport. The click-point distribution across users will be more randomly dispersed and will not form new hotspots. For PCCP, more effort may be required to describe each image and the exact location of each click-point.


While we are not arguing that graphical passwords are the best approach to authentication, we find that they offer an excellent environment for exploring strategies for helping users select better passwords since it is easy to compare user choices.

The main issues of knowledge-based authentication, usually text-based passwords, are well known. So, the experiment shows that the security level increases with the decrease in the tolerance value, which avoid shoulder surfing problem. The viewport positioning algorithm randomly placed the viewport on the image, ensuring that the entire viewport was always visible and that users had the entire viewport area from which to select a click-point.

Effects of Tolerance and Image Choice. User interface manipulations such as reducing the size of the mouse cursor or dimming the image may offer some protection, but have not been tested.

Graphical Password Authentication Using Cued Click Points

Similarly the participant select a click point each of the images. Specifically, when users created a password, the images were slightly shaded except for a randomly positioned viewport see Figure 3.

An authentication system must provide adequate security for its intended environment; otherwise it fails to meet its primary goal. Culture, Creativity, Interaction, Sept. We interviewed participants poinhs learn about their shuffling strategy.