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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A user who is determined to reach a certain authenticatoon may still shuffle until the view port moves to the specific location, but this is a time consuming and more tedious process. Using a graphical password, users click on images rather than type alphanumeric characters.
GRAPHICAL PASSWORD AUTHENTICATION USING PERSUASIVE CUED CLICK POINT
For capture attacks, PCCP is susceptible to shoulder surfing and malware capturing user input during password entry. Our results show that our Persuasive Cued Click Points scheme is effective at reducing the number of hotspots areas of the image where users are more likely to select click points while still maintaining usability. Click Passwords Under Investigation.
Initially when the tolerance limit was large i. The classification of attacks on knowledge-based authentication into two general categories: Design and longitudinal evaluation of a graphical password system. The click-point distribution across users will be more randomly dispersed and will not form new hotspots.
We use persuasion 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. The images act as memory cues to aid recall. The process flow starts from registering user id and tolerance value. 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.
When user entered the all user details in registration passwordd, these user registration data stored in data base and used during login phase for verification.
In this paper also analyse the efficiency of tolerance value and security rate. In successful guessing attacks, attackers are able to either exhaustively search through the entire theoretical password space, or predict higher probability passwords i. Indeed, we also mention how our approach might be passwrd to text-based passwords.
CCP also provides implicit feedback claimed to be useful only to legitimate users. It is the process by which the person standing behind the usng entering the password observes the password.
A password authentication system should encourage strong and less predictable passwords while maintaining memorability and security. In recall based graphical password, a user is asked to reproduce something that he created or selected earlier during the registration stage.
If they are unable or unwilling to select a point in the current view port, they may press the Shuffle button authentcation randomly reposition the view port. In such systems, users identify and target previously selected locations within one graphival more images.
Users must select a click-point within the view port. The area around an original click point accepted as correct since it is unrealistic to expect user to accurately target an exact pixel. We summarize the main issues below. Creating a new password with different click-points results in a different image sequence.
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.
Graphical passwords offer another alternative, and are the focus of this paper. For PCCP, more effort may be required to describe each image and the exact location of each click-point. 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.
We chose the size of the viewport to fall within this area of sharp vision.
Computer Security Applications Conf. An authentication system which applies Persuasive Technology should guide and encourage users to select stronger passwords, but not impose system-generated passwords. Success rates were calculated as the number of trials completed without errors or restarts, over all trials. Our goal was to encourage compliance by making autuentication less secure task i.
The task of selecting weak passwords which are easy for attackers to guess is more tedious, avoids users vlick making such choices.
The scale is named after its inventor, psychologist RensisLikert. PassPoints passwords from a small number of users can be used  to determine likely hotspots on an image, which can then be used to form an attack dictionary. Once user completes all the user details then proceed to next stage, which is selecting click points on generated images, which ranges from The system would continue to show next images with each click, and users would determine at which point to stop clicking and press the login button.
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 Graphical passwords were originally defined by Blonder While we are not arguing that graphical passwords are the best approach to authentication, we find that they offer an excellent environment for exploring strategies for helping users select better passwords since it is easy to compare user choices.
In this login procedure see figure 6first user enters the unique user ID as same as entered during registration. While users were allowed to shuffle as often as they wanted, this significantly slowed the password creation process. In effect, behaving securely became the usiny.
Verbal Learning and Verbal Behavior, vol. When questioned, participants who barely shuffled said they felt that the viewport poinrs it easier to select a secure click point. An online attack could be thwarted by limiting the number of incorrect guesses per account. It is the value which indicates the degree of closeness to the actual click point. Success on the first attempt occurs when the password is entered correctly on the first try, with no mistakes.
Graphical Password Authentication Using Cued Click Points
This password authentication system allows user choice while influencing users towards stronger passwords. In PassPoints, a password consists of a sequence of five click-points on a given image see Figure 1. Mistakes occur when the participant presses the Login button but the password is incorrect.