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 American Journal of Agricultural Science, Engineering and Technology 

USER AUTHENTICATION THROUGH CUED CLICK POINTS BASED 

GRAPHICAL PASSWORD   

Hasi Saha1*, G C Saha2, Roshidul.H3, Zakirul Islam4 

ABSTRACT 
 User authentication is a fundamental component in most computer security context. In recent years, 

computer and network security has been formulated as a technical problem. A key area in security 

research is authentication which is the determination of whether a user should be allowed access to a 

given system or resource. In this respect, Authentication is a process by which a system verifies the 

identity of a user. Authentication may also be generalized by saying that “to authenticate” means “to 

authorize”. Users tend to pick passwords that can be easily guessed, on the other hand, if a password 

is hard to guess, then it is often hard to remember. To address this problem some researchers have 

developed authentication methods that use pictures as passwords, known as graphical passwords. 

Graphical passwords are a proposed alternative to text passwords that have been shown to have good 

usability and security properties that use images for login, and leverage the picture superiority effect 

for good usability and memorability. Categories of graphical passwords have been distinguished on 

the basis of different kinds of memory retrieval (recall, cued-recall, and recognition). Though there 

are several kinds of graphical password, But We have choose to implement the cued click based due 

to efficient and more secured, Cued click points is a click-based graphical password scheme, Users 

click on one point per image for a sequence of images. The next image is based on the previous click-

point. Performance was very good in terms of speed, accuracy, and number of errors. 

Graphical passwords may offer better security than text-based passwords because many people, in an 

attempt to memorize text-based passwords, use plain words rather than the recommended jumble of 

characters.  

Key Word: Cued click points, Graphical passwords and Authentication. 

1 Lecturer, Department of Computer Science & Information Technology, HSTU, Dinajpur, 
Bangladesh,hasi.cse3@gmail.com 
2 Assistant Professor, Department of Computer Science & Information Technology, 
BSMRAU, Gazipur, Bangladesh 
3 Associate Professor, Department of Computer Science & Information Technology, 
BSMRAU, Gazipur, Bangladesh 
4 Department of Computer Science & Information Technology, HSTU, Dinajpur, Bangladesh

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Introduction  
User authorization includes the problems of security and usability. It is not acceptable if both 

are essential and important. The issue is proved under the information-based authorized 

methods. Graphical passwords are very important and safe than common text passwords 

since they tackle the capability of the man to identify and recall the pictures. Under this 

theory, we studied under the field of information-based on usability and security. Text-Based 

Password is the series of features which has gain permission to the file, PC, or application. 

The passwords are simple and cheap to execute and it is known to many users. The brains can 

function and save great quantity of graphical data since human beings live and communicate 

within atmosphere and the sense of view is predominant for many actions. This graphical 

information shows numerous bytes of data and hence to give great password spaces. Hence, 

graphical password methods give the method to create passwords of human-friendly to 

enhance the stage of safety. The use of passwords is known to be ancient. Sentries would 

challenge those wishing to enter an area or approaching it to supply a password or watchword, 

and would only allow a person or group to pass if they knew the password. In modern times, 

user names and passwords are commonly used by people during a log in process that controls 

access to protected computer operating systems, mobile phones, cable TV decoders, 

automated teller machines (ATMs), etc. 

Authentication is the act of confirming the truth of an attribute of a datum or entity. This 

might involve confirming the identity of a person or software program, tracing the origins of 

an artifact, or ensuring that a product is what it’s packaging and labeling claims to be. 

Authentication often involves verifying the validity of at least one form of identification 

(F.Alsulaiman and A.El Saddik, 2006).Authentication is the process of determining whether 

someone or something is, in fact, who or what it is declared to be. In private and public 

computer networks (including the Internet), authentication is commonly done through the use 

of login password (K. Renaud, 2005). Authentication has become mere important for an 

organization to provide an accurate and reliable means of authorization (Khan 2007). The 

authentication methods can be divided into three major parts, such as 

 Token based Techniques.

 Biometric based Techniques.

 Knowledge based Techniques.

Humans have exceptional ability to recognize images previously seen, even if those images 

were viewed very briefly. Several recognition-based graphical password schemes have been 
 

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proposed in recent years (S. Akula et alI, 2004). Sobrado and Birget developed a graphical 

password technique that deals with the shoulder- surfing problem (L.Sobrado and J.-C. 

Birget,2002). In the first scheme, the system will display a number of pass-objects (pre- 

selected by user) among many other objects 

In recall-based techniques, a user is asked to reproduce something that he or she created or 

selected earlier during the registration stage. Graphical passwords requiring pure recall are 

most similar to text passwords because users must remember their password and reproduce it 

without any cues from the system (I. Jeremyn et al, 1999). This is a difficult memory task and 

users sometimes devise ways of using the interface as a cue even though it is not intended as 

such. 

In Draw-A-Secret DAS (G. H. Bower et al, 1975), users draw their password on a 2D grid 

using a stylus or mouse (see Figure: 2.3). The password is composed of the coordinates of the 

grid cells that the user passes through while drawing. A drawing can consist of one 

continuous pen stroke or several strokes. 

To log in, users repeat the same path through the grid cells. The theoretical password space is 

determined by the coarseness of the underlying 2D grid and the complexity of the images. A 

coarser grid helps with usability, while a finer grid increases the size of the password space. 

 Figure 2.3: Sample Draw-A-Secret password 

The study has been carried out to achieve the following objectives: 

Now a day we are using many system, whether it is computer based or web based. The security of the 

system is the main fact. For the security of the system we are facing the password system. The main 

objectives of my proposed system is given below 

 The objective of the proposed system is to implement of a Cued Click Points graphical

password.

 Design and develop a password system that is easy to guess.

 To design a system that is acceptable to all type of users, although he/she is an illiterate.

 To design a system that is implemented as a password system in both desktop and web.

 To design a system that is easy to maintain.

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Background Study 

i. Background of the Text password

Despite the large number of options for authentication, text passwords remain the most common 

choice (K. Renaud, 2005) for several reasons. Text passwords are easy and inexpensive to 

implement, and are familiar to most users. And finally, passwords are portable since users simply 

have to recall them, as opposed to tokens which must be carried. However, text passwords also have a 

number of the inadequacies from both security and usability viewpoints, such as being difficult to 

remember and being predictable if user-choice is allowed (D. Klein, 1990). 

ii. Background of the Graphical Password

Here we discuss some graphical password systems based on recognition or cued recall of images. 

Most existing systems are based on recognition. The best known of these systems are Pass faces. To 

create a password, the user chose four images of human faces from a portfolio of faces. To log in the 

user saw a grid of nine faces, which included one face previously chosen by the user and eight decoy 

faces. The user had to click anywhere on the known face. This procedure was repeated with different 

target and decoy faces, for a total of four rounds. If the user chose all four correct faces, he or she 

successfully logged in. Data from this study suggest that Pass faces are more memorable than 

alphanumeric passwords. On the other hand, passwords based on image recognition have a serious 

disadvantage. Only a small number of faces can be displayed on each screen, e.g., in Pass faces nine 

faces. An attacker has a 1-in-9 chance of guessing this Pass face. Consequently, the login process 

requires repetitive rounds of face recognition. If four rounds are used the chance of guessing the 

password is (1/9)4 = 1.5 х 10-4. With a few thousand random guesses an attacker would be likely to 

find the password. To increase security similar to that of 8-character alphanumeric password, 15 or 16 

rounds would be required. This could be slow and annoying to the user (D. Davis et al, august 

2004). 

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In Pass Points, a password consists of a sequence of five click-points 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, within a system-defined tolerance square of the original click-points (K.P. 

Yee, 2004). 

The usability and security of this scheme was evaluated by the original authors (S.Chiasson,July 

2007) and subsequently by others. 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 Pass Points passwords (Thorpe, J. and van Oorschot, 2007). 

Blonder-style passwords are based on cued recall. A user clicks on several previously chosen 

locations in a single image to log in. As implemented by Pass logix Corporation (Boroditsky, 2002), 

the user chooses several predefined regions in an image as his or her password. To log in the user has 

to click on the same regions. The problem with this scheme is that the number of predefined regions is 

small, perhaps a few dozens in a picture. The password may have to be up to 12 clicks for adequate 

security, again tedious for the user. Another problem of this system is the need for the predefined 

regions to be readily identifiable. In effect, this requires artificial, cartoon-like images rather than 

complex, real-world scenes. 

Proposed System 

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. 

1) 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. 

Requirement Specification 

Cued Click Based Password Scheme 

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In the Cued click based graphical password, the image is displayed on the screen by the 

system. The image is not secret and has no role other than helping the user remember the 

click points. Any pixel in the image is a candidate for a click point.To log in, the user has to 

click again closely to the chosen points, in the given sequence. Since it is almost impossible 

for human users to Click repeatedly on exactly the exact point, the system allows for an error 

tolerance r in the click locations (e.g., a disk with radius r = 7 or 10 pixels). This is done by 

quantizing (discretizing) the click locations, using three different square grids, as described in 

[12]. Each grid has width 6r between grid lines (horizontal or vertical).Each one of the three 

grids is staggered with respect to the previous grid by a distance 2r vertically and a distance 

2r horizontally;(see Figure: 2. 1) 

If there were only one quantization grid then a selected click point could be close to a grid 

line and small variations in the user's clicking could lead to a click in a different grid square, 

thus leading to the wrong password. On the other hand, one can prove  that with the three 

staggered grids every point in a two-dimensional image is at distance at least r from the grid 

lines of at least one of the three grids; we say that the point is safe" in that grid. 

Figure 2.1: Three staggered grids. 

The simultaneous use of multiple grids makes the click points robust" against the inevitable 

small uncertainties in the clicking; hence, this form of discretization is called robust 

discretization", or “robust quantization". Click positions are mapped into grid squares. A 

sequence of click points is represented by a sequence of grids together with a sequence of 

grid squares. For secure storage of passwords by the system, a function is applied to the 

sequence of grid squares. An important feature of the click points system is that the 

underlying images for a password are not restricted to simple comics-like drawings. Complex 

real-world images can be used; users can even install their own images. Natural images help 

users remember complex passwords better. 

i. Functional Requirements

The various functional requirements of this system are the following:

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 Selection of first image during registration, Database module for maintaining the

framework

 Pre-Processing modules for different areas, Customizable

iii. User Interface Requirements

To achieve the objectives and benefits expected from the computer based system, it is essential for

people who will be involved to be confident of their role in the new system. This involves them in

understanding the overall system. As the system becomes more complex the need for education and

training is more and more important. Education of the user should really have taken place much

earlier in the project when they were being involved in the investigation and design work. Once the

staff has been trained the system can be tested.

iv. Performance Requirements

Considering the interactive nature of the task the system must have the following characters.

 Minimum response time ,Efficient CPU utilization, Less Memory space ,High reliability

,High flexibility ,User friendly

v. Other Nonfunctional Requirements

Nonfunctional requirements define system properties and constraints it arises through user needs, 

because of budget constraints or organizational policies, or due to the external factors such as safety 

regulations, privacy registration and so on. Nonfunctional requirements are: 

 Security ,Reliability, Maintainability ,Portability ,Extensibility ,Reusability, Application

Affinity/Compatibility Resource Utilization

System Design and Method 

A. General Overview of System Design

The purpose of system design is to create a technical solution that serves both the user and

the admin. The system should be designed in such a way that is very flexible to use for both

the administrator and the user. The preparation of the environment needed to build the system,

the testing of the system and the migration and the preparation of the data that will ultimately

be used by the system are equally important. In addition to designing the technical solution,

system design is the time to initiate focused planning efforts for both the testing and data

preparation activities. Both the admin section and the user section are designed in such a way

that both parties enjoy the facilities of the application.

B. Modular Design of Cued Click Points Authentication

The whole system is divided into two parts i.e. the user and the admin section. That is why the 

modular design of the system is also divided into two modular diagrams, one for admin and another 

for naive user. Both modules are shown below           

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Figure 2.2: Module Diagram for user 

    Use Case Diagram  

The use case diagram consists of the following criteria mentioned below. 

It should be the scenario that describes the interaction between a user and the system and it displays 

the    

relationship among actors and use cases. 

There are two components in a use case diagram that helps understand the use case diagram. Those 

are, 

 Actor and Use-case 

An actor in a use-case diagram represents a user using 

the system. On the other hand, a use-case represents       

the set of acts that a user might perform while using the 

system. 

Figure 2.4: Symbol of Actor and use-case diagram. 

The use-case diagram for the admin displays the interaction between the admin and the system. 

Figure: 2.5 show the use case diagram for admin.         

Figure 2.5: Use case Diagram for Admin 

Figure 2.3: Module Diagram for Admin 

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The use-case diagram for the naïve user displays the interaction between the user and the system. 

Figure: 2.6 show the use case diagram for the naive user.      

Figure 2.6: Use case Diagram for Naive user. 

C. Module Design

The coding would allow any one particular module to be corrected or improved without 

making any significant change to any other module. The both software and hardware 

implementation of the system is given below: 

Software Module Implementation 
The designed system was implemented using Visual Studio 2010 in .net framework, Text file 

is used to store the information. The different modules of the system are:  

User interface, Admin registration process, Picture selection process, Password selection 

process. 

User Interface/Welcome Page 

The screen shots of the Welcome page are below 

Figure 2.7: The screen shots of the Welcome page. 

The page contains Admin button, About, And Exit buttons. The Admin button shows the 

admin login form. About button shows information about the Author, Exit button, Exit the 

system.  

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 Admin Registration Form 

The admin registration form is given below: 

Figure 2.8: Admin Registration form. 

The form takes two information, The Uses name and password. Also here is an option the 

Change password that is used to change the admin password, another button is CLOSE that is 

used to close the Login form.   Picture Browsing and Password Selection Form 

The screen shout of picture browsing and password selection form are given below. 

Figure 2.9: The screen shots of picture browsing and password selection. 

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The UPLOAD button Upload the image into image box, The SET button sets the password 

into click position of the image in the image box. The SEE PASSWORD shows the click 

position co-ordinates, and show the password hints into the password hints text box. 

Results and Discussions 

In this research i have practically implemented the Cued Click Point Graphical passwords 

which offer better security than text-based passwords and give the more accurate result. The 

dictionary search can often hit on a password and allow a hacker to gain entry into a system 

in seconds. So a series of selectable images is used on successive screen pages, and hence 

increase its security. 

Graphical passwords are an alternative to textual alphanumeric password. It satisfies both 

conflicting requirements i.e. it is easy to remember & it is hard to guess. By the solution of 

the shoulder surfing problem, it becomes more secure & easier password scheme. By 

implementing other special geometric configurations like triangle & movable frame, one can 

achieve more security.Due to this vulnerability to shoulder surfing, it would appear that 

graphical passwords could never be used in environments where view of the screen is not 

exclusive to the person logging in. However, we have found that by applying the concept of 

challenge response it is possible to create schemes that counter the shoulder surfing problem. 

 It is more difficult to break graphical passwords using the traditional attack methods such as: 

We have used less number of series images, If there are many images on each page, a hacker 

must try every possible combination at random. If there are 100 images on each of the 8 

pages in an 8-image password, there are 1008, or 10 quadrillion (10,000,000,000,000,000), 

possible combinations that could form the graphical password! If the system has a built-in 

delay of only 0.1 second following the selection of each image until the presentation of the 

next page, it would take (on average) millions of years to break into the system by hitting it 

with random image sequences. 

Conclusion  

In this paper, it first introduced some typical graphical passwords authentication schemes. Then under 

its estimate criterions, the security analysis of graphical passwords was given. A comparison of 

current typical graphical password techniques is presented. The preliminary analysis suggests that it is 

more difficult to break cued click points graphical passwords using the traditional attack methods. 

Although our system aims to reduce the problems with existing graphical based password 

schemes but it has also some limitations and issues like the other entire graphical based 

password 

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Generic Prozac debuts. (2001, August 3). The Washington Post, pp. E1, E4.  

Books, reports, etc. in print format 

General Form:  

Author, A. A. (Year). Title of work. Location: Publisher. 

One Author  

Nagel, P. C. (1992). The Lees of Virginia: Seven generations of an American family. New 
York: Oxford University Press.  

Corporate Author with an Edition and Published by the Corporate Author 

American Psychiatric Association (1994). Diagnostic and statistical manual of mental 
disorders (4th ed.). Washington, DC: Author.  

Anonymous Author 

Guidelines and application form for directors, 1990 summer seminar for school teachers. 
(1988). Washington, DC: National Endowment for the Humanities.  

Chapter in a Book 

Burghardt, G. M. (1984). On the origins of play. In P. K. Smith (Ed.), Play in animals and 
humans (pp. 5-42). Oxford, England: Basil Blackwell.  

Citing Secondary Sources: 

When citing in the text a work discussed in a secondary source, give both the primary and the 
secondary sources. In the example below, the study by Seidenberg and McClelland was 
mentioned in an article by Coltheart, Curtis, Atkins, & Haller.  

Seidenberg and McClelland’s study (1989, as cited in Coltheart, Curtis, Atkins, & Haller, (1993) 

In the reference list, you would cite the secondary source that you have read, not the original 
study.  

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