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 capture attacks, PCCP is susceptible to shoulder surfing and malware capturing user input during password entry. 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.
Ideally, a larger theoretical password space lowers the likelihood that any particular guess is correct for a given password. Although attackers must perform proportionally more work to vlick hotspots, results showed that hotspots remained a problem . 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.
Once the first participant has logged out, the other participants are asked to enter the same password which they have observed of the graphicsl participant. We chose the size of the viewport to fall within this area of sharp vision.
The click-point distribution authenticatkon users will be more randomly dispersed and will not form new hotspots. 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 . Creating a new password with different click-points results in a different image sequence.
They either consistently shuffled a lot at each trial pojnts barely shuffled during the entire session. According 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. In user registration module user enter the user name in user name field and also suitable tolerance value tolerance value is use to compare registration profile vector with login profile vector.
Design and longitudinal evaluation of a graphical password system. Verbal Learning and Verbal Behavior, vol. Graphical passwords may also potentially be shared by taking photos, capturing screen shots, or drawing, albeit requiring more effort than for text passwords. Specifically, when users created a password, the images were slightly shaded except for a randomly positioned viewport see Figure 3. 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.
After done with all these above procedure, user profile vector will be created.
GRAPHICAL PASSWORD AUTHENTICATION USING PERSUASIVE CUED CLICK POINT | Open Access Journals
Explicit indication of authentication failure is only provided after the final click-point, to protect against incremental guessing attacks. Mistakes occur when the participant presses the Login button but the password is incorrect. Those who shuffled a lot felt that the viewport hindered their ability to select the most obvious click-point on an image and that authentciation had to shuffle repeatedly in order to reach this desired point.
The view port guides users to select more random passwords that are less likely to include hotspots. Of interest herein are cued-recall click-based graphical passwords also known as locimetric. The scale is named after its inventor, psychologist RensisLikert. An online attack could be thwarted by limiting the number of incorrect guesses per authenticatlon.
GRAPHICAL PASSWORD AUTHENTICATION USING PERSUASIVE CUED CLICK POINT
To be effective, the users must not ignore the persuasive graohical and the resulting passwords must be memorable. Initially eight participants are considered for the experiment. Authentication Using Graphical Passwords: It is a type of capture attack. A password authentication system should encourage strong and less predictable passwords while maintaining memorability and security.
For social engineering attacks against cued-recall graphical passwords, a frame of reference must be established between parties to convey the password in sufficient detail. To explore an offline version of this attack, assume in the worst case that attackers gain access to all serverside information: Users select their images only to the extent that their click-point determines the next 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.
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.