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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For PCCP, more effort may be required to describe each image and the exact location of each click-point. We interviewed participants to learn about their shuffling strategy.

The viewport visible during password creation must be large enough to allow some degree of user choice, but small enough to have its intended passworrd of distributing clickpoints across the image. In recall based graphical password, a user is asked to reproduce something that he created or selected earlier during the registration stage.

Specifically, when users created a password, the images were slightly shaded except for a randomly positioned viewport see Figure 3. Attacks can target a single account, or can try guessing passwords on a large number of accounts in hopes of breaking into any of them. Then, the participant logs in with that password, meantime the other participants are made to stand in a group behind the participant who is entering the poinfs and are made to peek in over the shoulder of the participant and observe his password the click points on the images.

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.

For capture attacks, PCCP is susceptible to shoulder surfing and malware capturing user input during password entry. Security CCSNov. Morgan Kaufmann Publishers, 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.

CCP also provides implicit feedback claimed to be useful only to legitimate users.

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While users were allowed to shuffle as often as they wanted, this significantly slowed the password creation process. To be effective, the users must not ignore the persuasive elements and the resulting passwords must be memorable. It was found that although relatively usable, security concerns remain. Initially when the tolerance limit was large i.


Users were required to select a click-point autgentication this highlighted viewport and could not click outside of this viewport. User testing and analysis showed no evidence of patterns in CCP [5], so pattern-based attacks seem ineffective. 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. Journal of Human- Computer Studies 63, During password creation, PCCP users may press the shuffle button to randomly reposition the viewport.

In this paper also analyse the efficiency of tolerance value and security passwword. 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 password authentication system allows user choice while influencing users towards stronger usimg. When user entered the all user details in registration phase, cuee user registration data stored in data base and used during login phase for verification. Remembering the order of the click-points is no longer a requirement on users, as the system presents the images one at a time. One preliminary study [22] suggests that password sharing through verbal description may be possible for PassPoints.

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. The task of selecting weak passwords which are easy for attackers to guess is more tedious, avoids users from making such choices. The process flow starts from registering user id and tolerance value.

The below table 1 shows the result of the tolerance value efficiency of the PCCP method. Initially eight participants are considered for the experiment.

The size of the fovea limits foveal vision to an angle of approximately 1 degree within the direct line to the target of interest. Success rates within three attempts indicate that fewer than three mistakes.



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. The next image displayed is based on the location of the previously cilck click-point see Figure 2creating a path through an image set. 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 recognition based,a user is presented with a set of images and the user passes the authentication by recognizing and identifying the images he selected during the registration stage.

Fewer shuffles lead to cueed randomization of click-points across users. Parts of this paper appeared earlier in publications [1], [2], [3], [4], [5],[16],[17],[18]. Up to 36 percent cue passwords on the Pool image were correctly guessed with a dictionary of entries. It is the process by which the person standing behind the person entering the password observes the password.


In click-based graphical passwords, poorly chosen passwords lead to the emergence of hotspots portions of the image where users are more likely to select click-points, allowing attackers to mount more successful dictionary attacks.

Because it will take more time to select a click point on 5 different images, but it provides more security. Of interest herein are cued-recall click-based graphical passwords also known as locimetric[12].

In PassPoints, a password consists of a sequence of five click-points on a given image see Figure 1. To explore an offline version of this attack, assume in the worst case that attackers gain access pawsword all serverside information: A dictionary attack consists of using a list of potential passwords ideally in decreasing order auuthentication likelihood and trying each on the system in turn to see if it leads to a correct login for a given account.

Graphical passwords were originally defined by Blonder