Various graphical password schemes have been proposed as alternatives to text-based passwords. Research and experience have shown that text-based passwords are fraught with both usability and security problems that make them less than desirable solutions. Psychology studies have revealed that the human brain is better at recognizing and recalling images than text graphical passwords are intended to capitalize on this human characteristic in hopes that by reducing the memory burden on users, coupled with a larger full password space offered by images, more secure passwords can be produced and users will not resort to unsafe practices in order to cope speakers of any language.
We propose and examine the usability and security of Cued Click Points (CCP), a cued-recall graphical password technique. Users click on one point per image for a sequence of images.The next image is based on the previous click-point. We present the results of an initial user study which revealed positive results. Performance was very good in terms of speed, accuracy, and number of errors. Users preferred CCP to Pass Points (Wiedenbecketal., 2005), saying that selecting and remembering only one point per image was easier, and that seeing each image triggered their memory of where the corresponding point was located. We also suggest that CCP provides greater security than Pass Points because the number of images increases the workload for attackers or a sequence of images. The next image displayed is based on the previous click-point so users receive immediate implicit feedback as to whether they are on the correct path when logging in. CCP offers both improved usability and security.
Chhavi Saxena
Hemu Sharma
Mini Saxena
Sonal Chittranshi
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ABSTRACT:-
Usable security has unique usability challenges because the need for security often means that standard human-computer-interaction approaches cannot be directly applied. An important usability goal for authentication systems is to support users in selecting better passwords, thus increasing security by expanding the effective password space. 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.
INTRODUCTION:-
People select predictable passwords. This occurs with both textbased and graphical passwords. Users tend to choose passwords that are memorable in some way, which unfortunately often means that the passwords tend to follow predictable patterns that are easier for attackers to exploit. While the predictability problem can be solved by disallowing user choice and assigning passwords to users, this usually leads to usability issues since users cannot easily remember such random passwords. An authentication system should encourage strong passwords while still maintaining memorability.
PROPOSED WORK:_
Graphical passwords offer an alternative to text-based passwords that is intended to be more memorable and usable because graphical passwords rely on our ability to more accurately remember images than text . Several forms of graphical passwords have been proposed. Our proposed system allows user choice while attempting to influence users to select stronger passwords. It also makes the task of selecting a weak password (easy for attackers to predict) more tedious, in order to discourage users from making such choices. In effect, our scheme makes choosing a more secure password the “path-of-leastresistance”.
In this passwords are created by positioning a “template” over a background image so that the user’s secret areas fall within the cut-out portions of the template. They found that users had difficulty remembering the position of their template and selected similar areas of the images. We focus primarily on click-based graphical passwords. In PassPoints passwords consist of a sequence of five clickpoints on a given image. Users may select any pixels in the image as click-points for their password. To log in, they repeat the sequence of clicks in the correct order. Each click must be within a system-defined tolerance region of the original click-point. It was found that although relatively usable, security concerns remain. The primary security problem is hotspots: different users tend to select similar click-points as part of their passwords. 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 . A dictionary attack consists of using a list of potential passwords (ideally in decreasing order of likelihood) and trying each on the system in turn to see if it leads to a correct login for a given account. 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.
To reduce the security impact of hotspots and further improve usability, we proposed an alternative click-based graphical password scheme called Cued Click-Points .
can u send the document and ppt for Graphical Password Authentication using Cued Click Points (CCP)
it is urgent.............................
I too need ppts on this topic plz frwd me......................
its very urgent
(coolrokz21[at]hotmail.com)
Hi!
I am Divyang Shah.
I am Final Year Engg Student.
I like this topic and decided to do this project.
So can i get the detailed info on this.
My email id is- divyang05[at]gmail.com
Thank You,
With regards,
Divyang.
Hi!
I am Divyang Shah.
I am Final Year Engg Student.
I like this topic and decided to do this project.
So can i get the detailed info on this.
My email id is- somnathmulay[at]gmail.com
Thank You,
With regards,
somnath.
can yo pls send me the document of the above topic to apitha811[at]gmail.com please....its urgent
sir/mam ,
could u please say that 'image based authentication for illiterates' is a main project or mini project.could u please some information about that please.
thanking you
send me the uml diagrams for :defenses against large scale online password guessing attacks using persuasive cued click points
email me at rajeshwarreddy034[at]gmail.com
plz send the source code for graphical password
send the java code for graphical password authentication plz its argent
can you send me the document and source code for cued click point
Hi
I,m Ritesh Kumar
Can anyone send me souce code of graphical password scheme in core java
Please
Users click on a point by image for a sequence of images. The next image is based on the previous click point. The performance was very good in terms of speed, precision and number of errors. Users preferred CCP to PassPoints (Wiedenbeck et al., 2005), saying that selecting and remembering only one point per image was easier, and seeing each image triggered their memory of where the corresponding point was.
Authentication is the process of determining whether to allow a user to access a particular system or resource. The user can not remember strong password easily and passwords that can be remembered are easy to guess. A password authentication system should encourage strong and less predictable passwords while maintaining memorability and security. This password authentication system allows for the user's choice while also influencing users to stronger passwords. The task of selecting weak passwords (which are easy to guess for attackers) is more tedious, it prevents users from making such decisions. Indeed, these authentication schemes make choosing a more secure password is the path of least resistance. Instead of increasing the burden on users, it is easier to follow system suggestions for a secure password - a feature that is missing in most schemes.
Several graphical password schemes have been proposed as alternatives to text-based passwords. Research and experience have demonstrated that text-based passwords are plagued by usability and security issues that make them less than desirable solutions. Psychology studies have revealed that the human brain is better at recognizing and retrieving images than graphic text passwords are intended to capitalize on this human trait in the hope that by reducing the memory load of users, they may occur Secure passwords and users will not resort to unsafe practices to deal with.
It can be understood in the following video: