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Abstract—The major problem of user registration, mostly text
base

password,
is well known. In the login user be inclined to select simple passwords which
is frequently in mind that are straight forward for attackers to guess,
difficult machine created password mostly complicated to user take in mind.
User authenticate password using cued click points and Persuasive Cued Click Points
graphical password scheme which includes usability and security evaluations.

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                    This paper includes the
persuasion to secure user authentication & graphical password using cued
click-points so that

users
select more random or more difficult to guess the passwords. In

click-based
graphical passwords, image or video frame that provide

database
to load the image, and then store all information into database. Mainly
passwords are composed of strings which have letters as well as digits. Example
is alpha-numeric type letters and

digits.

Keywords: User Authentication, Graphical Password, Persuasive Cued
Click-Points, Cued Click Point.

1.
INTRODUCTION

There
are a lot of effects that are most well-known about passwords; such as that
user cannot memorize complicated password which is simple to identify. A user
registration is supposed to support strong passwords for preserve to keep in
mind and protection. The user registration process allows choosing while
influencing users proposed for difficult passwords. The task of selecting weak
passwords is more monotonous, avoids users from making like choice. This type
of registration schemes it is use for very protected password. Instead of
increasing the burden on users, it is much easier to use the system’s
suggestions for a secure password – a feature absent in most schemes. In this
approach to create the primary normal click point visible password and cued
click point created an inter lab connecting study with a variety of
participants. The results shows and explained that Cued Click Points method is
useful at condensed the number of user connected areas of the image where users
are more likely to select click points while still maintaining usability. In
this paper also analyze the efficiency of tolerance value and security rate.

 

 

BACKGROUND-Instead of text password, Graphical
passwords have been proposed to improve both usability and
security issues.

For registration process the text based password is better, while
it is not more secure. By the use of bio metric or token base password is weak and problem oriented .In this method to moderate the troubles with conventional methods. Greg Blonder first described the
idea of graphical password in the year 1996. In the use of Graphical passwords that provides
alternative, and are the center of this paper.

 

Graphical
Passwords Using Normal Click Points-The password which is secure information for every user if the password is used like graphical is use for user
registration process. Graphical password is
attempts to influence the user stored in mind for
visible data. Previous survey of visible passwords is obtainable in a different place of interest in this are
normal click -based graphical passwords. In such
systems, users identify and target formerly preferred locations
within more than one images.

 

The Click Points is a planned to set pass point. The method of
click-point user selects single points instead of 3 point on 3 images. The
method provides cued-recall the facilities visible cued immediately provide
message if they enter wrong click point. Using the previous survey Persuasive
technology is to inspire to encourage new concept. This method provides
solution to user for selecting best password. User will not avoid the effective
elements as well as final password must be memorable. The path for candidate to
choose difficult password which is can’t to access easily. If the click point
select as randomly so formation of hotspot is minimized. In Pass-Points, the
user password use continues five click points provides on particular image. A
User might choose the appropriate pixel for password.

 

SYSTEM
DESIGN

The
system designed with the help of three modules such

as
Authentication Process, User registration /Sign Up process

modules.
Loading video and creating frame module, picture selection module and system
login module System design modules User authentication process user select
login screen ask user id and password, then user will retrieve the image from
database and ask user for click point here minimum 3 point are necessary
require, this process is continuously repeat until the no match found ,

so
user will continue to re- login into the page. In user registration module user
enter the user name in user name field and also suitable tolerance value. When
user entered the all user details in registration phase, these registration
data of different users stored in data base and used during login phase for
verification. In the previous section select image from system and create
minimum 3 click points then store the total information of user to the data
base and ask the user to select more images. Otherwise ask for load the video
and select a particular frame from the video and provide object name, finally
store the information into data base.

 

IMPLEMENTATION

 

main menu user registration
process login, signup,

         forgot password

security question if user forgot password

 

sign up process if user
is not registered

 

      loading video and creating frame

 

Password
guessing attack-Most
critical guessing attack against Cued Click Points is a brute force attack, through the predictable achievement
behind explore partially of the password
space yet, skewed password separation that provides attacker to
give on this harm for that metadata of information can be formed
of server-side information. Then this dictionary information can
be used for the guessing of the
click point in an image.

Password
Capture attacks-In this attacks
when attackers directly obtain passwords by intercepting
user entered data and tricking users into revealing their passwords. In capturing one sign in instance allows deceptive
access by a simple replay attack. Some
security schemes are vulnerable to
carry surfing threat.
Examine the estimated location of click points may reduce the
figure of guesses essential to decide the user’s password. User
crossing point, normally attacks against cued-recall graphical passwords, a frame of orientation must be
recognized between parties to correspond the password in enough detail.
Graphical passwords may also be shared by taking picture, capturing screen
shots, or drawing, although requiring more attempt than for text passwords.

 

Image
Pattern Attack-In this
pattern-based attack that provides passwords with of click-points ordered in a consistent horizontal and vertical
direction (with straight lines in any direction,
arcs, and step patterns), as well
as ignores any
image-specific characteristics such as hotspots. Given that Cued Click Point passwords are fundamentally impossible
to tell apart from arbitrary for click-point
distributions among the x- and y axes, angles, shapes
and slopes.

 

CONCLUSION

As we
are providing the only one image for the authentication purpose it is easier
for the user to remember and difficult for the attacker to attack because it is
difficult for the attacker to see at click points area of the image. Using of
the graphical password method it is undeveloped. In the various research and
study the various approach the graphical password method is provide wide strong
security and very convenience. By using database image or creating a frame from
video password become strong. This approach encourages and guides users in
selecting more random click-based graphical passwords. A key feature in this
method is that creating a secure password is the given
path-of-least-resistance, it likely to be more productive than schemes where it
securely adds an extra load on users.

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