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 authentication system must provide adequate security for its intended environment; otherwise it fails to meet its primary goal. To be effective, the users must not ignore the persuasive elements and the resulting passwords must be memorable.
GRAPHICAL PASSWORD AUTHENTICATION USING PERSUASIVE CUED CLICK POINT | Open Access Journals
The next image displayed is based on the location of the previously entered click-point see Figure 2creating a path through an image set. It is a type of capture attack. Mistakes occur when the participant presses the Login button but the password is incorrect.
When questioned, participants who barely shuffled said they felt that the uathentication made it easier to select a secure click point. Rather than five click-points on one image, CCP uses one click-point on five different images shown in sequence. Using a graphical password, users click on images cusd than type alphanumeric characters.
User testing and analysis showed no evidence of patterns in CCP , so pattern-based attacks seem ineffective. Given that PCCP passwords are essentially indistinguishable from random for click-point distributions along the x- and y-axes, angles, slopes, and shapes uwing technical report such pattern-based attacks would be ineffective against PCCP passwords.
GRAPHICAL PASSWORD AUTHENTICATION USING PERSUASIVE CUED CLICK POINT
For systems like PCCP, CCP, and PassPoints and many other knowledge-based authentication schemescapturing one login instance usung fraudulent access by a simple replay attack. 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.
The best attack would seem to involve building a guessing dictionary whose entries are constructed from the largest hotspots on random combinations of images. Users may select any pixels in the image as click-points for their password. Physiologically, the human eye can observe only a small part of an image at a time.
We investigated whether password choice could be influenced by persuading users to select more random click-points while still maintaining usability.
Indeed, we also mention how our approach might be adapted to text-based passwords. 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 it available to an attacker. 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.
The below table 1 shows the result of the tolerance value efficiency of the PCCP method. 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 pounts, even though the two are not synonymous. Our goal was to encourage compliance by making the less secure task i.
Graphical Password Authentication Using Cued Click Points
Explicit indication of authentication failure is only provided after the final click-point, to protect against incremental guessing attacks. A considerably more complicated alternative is to make user input invisible to cameras, for example, by using grapnical tracking as an input mechanism.
Of interest herein are cued-recall click-based graphical passwords also known as locimetric. A complete review of graphical passwords is available elsewhere. The shuffle button was used moderately. Access to computer systems is most often based on the use of alphanumeric passwords. The path-of-least resistance for users is to select a stronger password not comprised entirely of known hotspots or following a predictable pattern.
Times are reported in seconds for successful password entry on the first attempt. Success rates are reported on the first attempt and within three attempts. 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.
Creating a new password with different click-points results in a different image sequence. 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 .
Replacements such as biometric systems and tokens have their own drawbacks , , . A possible strategy for increasing security is to enforce a minimum number of click-points, but allow users to choose the length of their password, similar to minimum text password lengths. 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.
We summarize the main issues below. Each image consists of only one click point as a user password.