GRAPHICAL PASSWORD AUTHENTICATION USING CUED CLICK POINTS PDF

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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An important usability goal for authentication systems is to support users in selecting better passwords, thus increasing security by expanding the effective password space.

GRAPHICAL PASSWORD AUTHENTICATION USING PERSUASIVE CUED CLICK POINT | Open Access Journals

Fewer shuffles lead to more randomization of click-points across users. When logging on, seeing an image they do not recognize alerts users that their previous click-point was incorrect and users may restart password entry.

Using a graphical password, users click on images rather than graphicall alphanumeric characters. Computer Security Applications Conf. The images act as memory cues[13] to aid recall. Text passwords are the most prevalent user authentication method, but have security and usability problems. Each image consists of different characters image detailsamong which the participant needs to click on any one point of his choice to make it a click point in the series.

Graphical Password Authentication Using Cued Click Points

The results show the graph of the tolerance value against security success rate see figure 7 and the graph of tolerance usiny against success rate see figure 8. Attackers who gain knowledge of graphicxl hotspots through harvesting sample passwords or through automated image processing techniques can build attack dictionaries and more successfully guess PassPoints passwords [17]. The path-of-least resistance for users is to select a stronger password not comprised entirely of known hotspots or following a predictable pattern.

Each image consists of only one click point as a user password. We thank the participants of our lab study for their time andValuable feedback. In recall based graphical paesword, a user is asked to reproduce something that he created or selected earlier during the registration stage. 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.

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The shuffle button was used moderately. The scale is named after its inventor, psychologist RensisLikert. To be effective, the users must not ignore the persuasive elements and the resulting passwords must be memorable. In this login procedure see figure 6first user enters the unique user ID uced same as entered during registration.

Most participants used a common shuffling strategy throughout their session. Parts of this paper appeared earlier in publications [1], [2], [3], [4], [5],[16],[17],[18].

The size of the fovea limits foveal vision to an angle of approximately 1 degree within the direct line to the target of interest. During password creation, most of the image is dimmed except for a small view port area that is randomly positioned on the image. To log in, they repeat the sequence of clicks in the correct order, within a system-defined tolerance square of the original click-points. In PassPoints, a password consists of a sequence of five click-points on a given image see Figure 1.

In such systems, users identify and target previously selected locations within one or more images. Pictures are selected by the user from the hard disk or any other image supported devices.

To explore an offline version of this attack, assume in the worst case that attackers gain access to all serverside information: Success rates were calculated as the number of trials completed without errors or restarts, over all trials. Similarly the participant select a click point each of the images. While users were allowed to shuffle as often as they wanted, this significantly slowed the password creation process. The primary security problem is hotspots: Once user completes all the user details then proceed to next stage, which is selecting click points on generated images, which ranges from Graphical password systems are a type of knowledge-based authentication that attempts to leverage the human memory for visual information.

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It is the rate which gives the number of successful trails for a certain number of trials. Design and longitudinal evaluation of a graphical password system.

After done with all these above procedure, user profile vector will be opened. 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 password and are made to peek in over the shoulder of the participant and observe his password the click points on the images.

Replacements such as biometric systems and tokens have their own drawbacks [8], [9], [10]. Though, users have difficulty remembering a password that is long and random-appearing. All three cued-recall schemes discussed PCCP, CCP, and PassPoints are susceptible to shoulder surfing although no published empirical study to date has examined the extent of the threat.

Persuasive Technology was first articulated by Fogg [20] as using technology to motivate and influence people to behave in a desired manner. 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. Our goal was to encourage compliance by making the less secure task i.

We use passsword 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. Users may select any pixels in the image as click-points for their password. If they are unable or unwilling to select a point in the current view port, they may press the Shuffle button to randomly reposition the view port.

PassPoints passwords from a small number of users can be used [21] to determine likely hotspots on an image, which can then be used to form an attack dictionary.