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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Attackers who gain knowledge of these hotspots through harvesting sample passwords or through automated image processing techniques can build attack dictionaries and more successfully guess PassPoints passwords [17]. Ppoints to user opinion during lab study, The PCCP graphical password authentication system will take more time to execute the program compare to text password and pass point.


This password authentication system allows user choice while influencing users towards stronger passwords. Replacements such as biometric systems and tokens have their own drawbacks [8], [9], [10]. Success on the first attempt occurs when the password is entered correctly on the first try, with no mistakes. It is passwoord process by which the person standing behind the person entering the password observes the password.

In effect, this authentication schemes makes choosing a more secure password the path-of-least-resistance. An authentication system must provide adequate security for its intended environment; otherwise it fails to meet its primary goal. During system login, the images are displayed normally, without shading or the viewport, and repeat the sequence of clicks in the correct order, authenticattion a system-defined tolerance square of the original click-points.

This attack occurs when attackers directly obtain the passwords or parts thereof by intercepting the user entered data or by tricking users into revealing their passwords. Graphical passwords were originally defined by Blonder Although attackers must perform proportionally more work to exploit hotspots, results showed that hotspots remained a problem [2].


PassPoints passwords from a small number of users can be used [21] to determine likely hotspots on an image, which can then be poinst to form an attack dictionary. For systems like PCCP, CCP, and PassPoints and many other knowledge-based authentication schemescapturing one login instance allows fraudulent access by a simple replay attack. Below flowchart see Figure 5 shows the user registration procedure, this procedure include both registration phase user ID and picture selection phase.

It was found that although relatively usable, security concerns remain. Persuasive Technology was first articulated by Fogg [20] as using technology to motivate and influence people to behave in a desired manner. During password confirmation and login, the images were displayed normally, without shading or the viewport and users were allowed to click anywhere.


Culture, Creativity, Interaction, Sept. To log in, they repeat the sequence of clicks in the correct order, within a system-defined tolerance square of the original click-points. The attack guesses approximately half of passwords collected in a field study on the Cars and Pool images two of the 17 core images with a dictionary containing entries, relative to a theoretical space of After done with all these above procedure, user profile vector will be created.

Security CCSNov. Similarly the participant select a click point each of the images.

They either consistently shuffled a lot at each trial or barely shuffled during the entire session. The area around an original click point accepted as correct since it is unrealistic to cpick user to accurately target an exact pixel. Although most users would likely choose the minimum number of click-points, those concerned with security and confident about memorability could select a longer password.

In this lab study, initially three participants are considered for the experiment. Computer Security Applications Conf. Malware is a major concern for text and graphical passwords, since key logger, mouse logger, and screen scraper malware could send captured data remotely or otherwise make graphhical available to an attacker.


In this paper focuses on the integrated evaluation of the Persuasive Cued Click Points graphical password authentication system, pasdword usability and security. An online attack could be thwarted by limiting the number of incorrect guesses per account.

Explicit indication of authentication failure is only provided after the final click-point, to protect against authenticxtion guessing attacks. Initially eight participants are considered for the experiment. In picture selection phase there are two ways for selecting picture password authentication. Given that hotspots and click-point clustering are significantly less prominent for PCCP than for CCP and PassPoints, guessing attacks based on these characteristics are less likely to succeed.

The viewport positioning graphcal 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 autnentication click-point. Once user completes all the user details then proceed to next stage, which is selecting click points on generated images, which ranges from As detailed in the next section, our proposed system accomplishes this by making the task of selecting a weak password more tedious and time-consuming.

Graphical Password Authentication Using Cued Click Points

During each trial, participants answered Likert-scale questions correspond to those reported in the previously cited studies A Likert scale is a psychometric scale commonly involved in research that employs questionnaires. Then images are displayed normally, without shading or the viewport, and repeat the autgentication of clicks in the correct order, within a system-defined tolerance square of the original click-points.

Creating a new password with different click-points results in a different image sequence.