This document provides an overview of CAPTCHA systems. It begins with defining CAPTCHA as a test used to differentiate humans from bots. It then discusses the different types of CAPTCHAs, including text, image, audio, video, and puzzle-based CAPTCHAs. The document outlines the design principles, process flow, generation process and working of CAPTCHAs. It also discusses the algorithmic process, applications, drawbacks and issues in designing CAPTCHAs. In conclusion, it emphasizes that security is important for web applications and CAPTCHAs provide a potential method for securing websites against bot attacks.
A seminar of CAPTCHA
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A seminar of CAPTCHA
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Good Luck :)
in this captcha report, you get everything those you need in a seminar. hope you like this report..
please check it out. and use it
for more report contect me. my email id is rkrakeshkumar99@gmail.com
A CAPTCHA (a backronym for "Completely Automated Public Turing test to tell Computers and Humans Apart") is a type of challenge-response test used in computing to determine whether or not the user is human.
CAPTCHAs are, by definition, fully automated, requiring little human maintenance or intervention to administer, producing benefits in cost and reliability.
By definition, the algorithm used to create the CAPTCHA must be made public, though it may be covered by a patent. This is done to demonstrate that breaking it requires the solution to a difficult problem in the field of artificial intelligence (AI) rather than just the discovery of the (secret) algorithm, which could be obtained through reverse engineering or other means.
CAPTCHA- Newly Attractive Presentation for YouthWebCrazyLabs
A CAPTCHA is a program that protects websites against bots by generating and grading tests that humans can pass but current computer programs cannot.
It is used, commonly, to protect your sites.
Enhancing Web-Security with Stronger CaptchasEditor IJCATR
Captcha are used widely over the World Wide Web to prevent automated programs in order to scrape a data from
websites. Captcha is a challenge response test used to ensure that the response is generated by a person not by a computer. Users
are asked to read and type a string of distorted characters in order to ensure that the user is human or not. Automation is real
problem for web application. Automated attacks can exploit many services:
1. Blogs 2. Forums 3. Phishing 4. Theft of data
Registration Websites use CAPTCHA (completely automated public turing test to tell computers and human apart) systems to
prevent the bot programs from wasting their resources. Today is the Era of where technologies are changes very rapidly. So
spammers are hackers are also trying something new to cracking captcha. That’s why it is necessary to developing an advanced
technology to generating a captcha. Just like simply generating a Captcha Images from text, or rotating an object within images.
in this captcha report, you get everything those you need in a seminar. hope you like this report..
please check it out. and use it
for more report contect me. my email id is rkrakeshkumar99@gmail.com
A CAPTCHA (a backronym for "Completely Automated Public Turing test to tell Computers and Humans Apart") is a type of challenge-response test used in computing to determine whether or not the user is human.
CAPTCHAs are, by definition, fully automated, requiring little human maintenance or intervention to administer, producing benefits in cost and reliability.
By definition, the algorithm used to create the CAPTCHA must be made public, though it may be covered by a patent. This is done to demonstrate that breaking it requires the solution to a difficult problem in the field of artificial intelligence (AI) rather than just the discovery of the (secret) algorithm, which could be obtained through reverse engineering or other means.
CAPTCHA- Newly Attractive Presentation for YouthWebCrazyLabs
A CAPTCHA is a program that protects websites against bots by generating and grading tests that humans can pass but current computer programs cannot.
It is used, commonly, to protect your sites.
Enhancing Web-Security with Stronger CaptchasEditor IJCATR
Captcha are used widely over the World Wide Web to prevent automated programs in order to scrape a data from
websites. Captcha is a challenge response test used to ensure that the response is generated by a person not by a computer. Users
are asked to read and type a string of distorted characters in order to ensure that the user is human or not. Automation is real
problem for web application. Automated attacks can exploit many services:
1. Blogs 2. Forums 3. Phishing 4. Theft of data
Registration Websites use CAPTCHA (completely automated public turing test to tell computers and human apart) systems to
prevent the bot programs from wasting their resources. Today is the Era of where technologies are changes very rapidly. So
spammers are hackers are also trying something new to cracking captcha. That’s why it is necessary to developing an advanced
technology to generating a captcha. Just like simply generating a Captcha Images from text, or rotating an object within images.
t—CAPTCHA, Completely Automated Public
Turning Test to tell Computers and Humans Apart, it is a one
type of test. CAPTCHA is standard internet security they
protect online emails and services from being abused by
malicious computer program or BOT. CAPTCHA is a one type
of test program that protects websites from BOTs on web by
generating tests that computer cannot pass but human can
easily pass. For web security we are using different type of
CAPTCHA. In this paper describe different type of
CAPTCHA technique based on drag and drop mouse action
because drag and drop mouse action is performed by human
not by BOT. This paper is deal with survey and comparison of
different technique of CAPTCHA.
The internet has been playing an increasingly important role in our daily life, with the availability of many web services such as email and search engines. However, these are often threatened by attacks from computer programs such as bots. To address this problem, CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) was developed to distinguish between computer programs and human users. Although this mechanism offers good security and limits automatic registration to web services, some CAPTCHAs have several weaknesses which allow hackers to infiltrate the mechanism of the CAPTCHA. This paper examines recent research on various CAPTCHA methods and their categories. Moreover it discusses the weakness and strength of these types.
The most notable primitive invented is Captcha, which distinguishes human users from computers by presenting a challenge, i.e., a puzzle, beyond the capability of computers but easy for humans. Captcha is now a standard Internet security technique to protect online email and other services from being abused by bots.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
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Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
2. Contents:
• Keywords
• Motivation
• Introduction
• Properties of CAPTCHA
• Different Types of CAPTCHA
• Design Principles
• Process Flow
• Working of CAPTCHA
• Generation Process of CAPTCHA
• Algorithmic Process
• Drawbacks
• Applications
• Working of OCR
• Issues in designing of CAPTCHA
• Conclusion
• REFERENCES
4. Motivation:
The original motivation of CAPTCHA came from an
online poll.
Basically, The CAPTCHA is used to prevent a bot from
accessing a website.
To prevent the automated access of a website.
To block spammers and bots that try to:
Automatically sign up.
Submitting forms.
Creating accounts.
use of websites, blogs or forums.
To provides security against the attacks performed by all the
malicious threats.
6. Introduction:
CAPTCHA is an acronym for Completely Automated Public
Turing test to tell Computer and Human Apart.[2]
A CAPTCHA is a challenge response test used in computing.
CAPTCHA is a program that can generate and grade test that
human can pass but bot can not.[4]
The first CAPTCHA was invented at Carnegie Mellon
University by John Langford, Nicholas J. Hooper and Luis
Von Ahn [1]
7. CAPTCHA technology based on graphical passwords.
CAPTCHA are also known as a type of Human Interaction
Proof (HIP).
CAPTCHA is an HIP system that is widely used to secure the
internet based applications.
CAPTCHA is one such shield which can be used as a
protection from these malicious programs.
8. Properties of CAPTCHA:
There are some basic properties of CAPTCHAs :
Easy for human user pass.
Hard enough for a bot to pass.
Flexible enough so that a tester machine easily generate and
grade it.
Fully automated system.
Require little human maintenance or interaction in
administering the test.
9. Different types of CAPTCHA:
Some types of CAPTCHAs are given below:
Text based CAPTCHAs
Image based CAPTCHAs
Audio based CAPTCHAs
Video based CAPTCHAs
Puzzle based CAPTCHAs
10. (1) Text based CAPTCHA:
Text based CAPTCHA are the most widely used in web
applications. [1,2]
Very effective and requires a large question bank.
The Number of classes of characters and digits are very small.
Figure 1: Text based CAPTCHA using by Facebook
11. Sr. No. Text Based CAPTCHA Website name
1. Wikipedia
2. Yahoo
3. Gmail
4. Facebook
5. Microsoft
6. Hotmail
12. Image based CAPTCHAs are challenge tests in which the
users have to guess the similar images.[1]
The user is required to identify image.
Some types of Image based CAPTCHAs are :
(2) Image based CAPTCHA:
ESP Pix CAPTCHA
Dynamic Image
based CAPTCHA
Multi model
CAPTCHA
IdentiPic CAPTCHA
Figure 2: Image based CAPTCHA using by Google
13. Examples:
Figure 3: ESP Pix CAPTCHA [4] Figure 4: Dynamic Image based CAPTCHA [4]
Figure 5: Multi model CAPTCHA [4] Figure 6: IdentiPic CAPTCHA [4]
14. (3) Audio based CAPTCHA:
Developed for visually disabled users.
Audio-based CAPTCHAs are based on the sound-based
systems. [2]
It contains downloadable audio-clips.[3]
In this type of CAPTCHA,
First the user listens and after that submits the spoken
word.
15. Figure 8: Audio based CAPTCHA using by JimThatcher.com
Figure 7: Audio based CAPTCHA using by mollom
16. (4) Video based CAPTCHA:
• Video CAPTCHA is a newer and less commonly used
CAPTCHA system.
• In video-based CAPTCHAs, three words (tags) are
provided to the user which describes a video. [2]
• The user’s tag must match to a set of automatically
generated ground truth tags then only the test is said to be
passed. [4]
• CAPTCHAs contain big downloadable files.
18. (5) Puzzle based CAPTCHA:
• Usually in Puzzle based CAPTCHA a given picture is divided
to chunks [2].
• A user is supposed to combine these chunks to form the
complete picture same as the original one.[3]
20. Design Principles:
The principles behind CAPTCHA are as follows:
Accessibility must be High.
Image security by distortion of image.
User friendly.
Must take less time.
Processing must be fast.
21. Process Flow:
The process behind CAPTCHA are as follows:
The user is presented with a garbled image on which some text
is displayed. This image is generated by the server using
random text.
The user must enter the same letters in the text into a text field
that is displayed on the form to protect.
When the form is submitted, the server checks if the text
entered by the user matches the initial generated text.
If it does, the transaction continues. Otherwise, an
error message is displayed and the user has to enter a
new code.
23. Generation Process of CAPTCHA :
Figure 12: Generation process of the fusion of Image based CAPTCHA and Text based CAPTCHA
24. Algorithmic Process:
b
Splitting and Rotating the CAPTCHA images
[6]
Step 1. Start the session.
Step 2. Generate n letters random string from the string
"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmn
opqrstuvwxyz0123456789".
Step 3. Create the copy for the random text and put it into the
session.
Step 4. Create transparent CAPTCHA image with w by h image
size and add CAPTCHA text over it.
Step 5. Set the initial X-position and Y-position of captcha image
to 0.
25. Step 6. Split the captcha into k by l Matrix shape by dividing
the captcha width into k parts and the height into l.
Step 7. Start a loop from 0 to k*l
If (i+1) Mod k+1 = 0 Then
{
Set initial X-Position to 0 and
initial Y-Position to Split Height
(Image Height / l)
}
End If
• Step 7.1. Create an array to put the split parts and put the
split images into array.
• Step 7.2. To pass to another split in one row, increase
the initial X-Position by Split Width (Image Width
/ k)in each loop step.
26. • Step 7.3. Randomize integer between -d and d to give
random rotation to the splits. Rotate the splits with
randomized variable that is random between -d and d.
• Step 7.4. End Loop.
Step 8. Combine the splits to create new CAPTCHA with
split and rotation.
Step 9. Add background to transparent new Captcha image
object with randomly drawn lines and special effects
Step 10. Export the final CAPTCHA image as a JPEG
file in the name of ‘captcha.jpg’.
Step 11. Destroy the final CAPTCHA image object to be
refreshed in each session.
27. Drawbacks:
1. Text based
CAPTCHA
1. In text images, user has some problem to identify the correct text or
characters.
i. Multiple fonts. ii. Font size.
iii. Blurred Letters iv. Wave Motion.
2. It can be easily identified by OCR techniques.
2. Image based
CAPTCHA
Some users face problem of image identification who have low vision or due
to blurring of images. [4]
3. Audio based
CAPTCHA
1. It is available only in English therefore end user must have a
comprehensive English vocabulary.
2. Character that have similar sound.
4. Video based
CAPTCHA
Due to large size of file, users face problem to download video and find
correct captcha.[2]
5. Puzzle based
CAPTCHA
It is not easy for users because this captcha take more time to solve the
puzzle and to identify actual arrangement of puzzles.[3]
28. Applications:
Protecting Web Registration: There are many sites on
the Internet which provide free registration to avail their services.
But they are susceptible to web bots.
Online polling sites: These sites takes user’s response or
feedback in the form of questionnaires. To ensure that only
human makes the response they make use of CAPTCHA.[2]
To avoid web crawling: If a site doesn’t want to get
indexed by a search engine then they can make use of
CAPTCHA.[3]
29. Contd…
Preventing Dictionary Attacks: Dictionary attack is a
technique of defeating the authentication mechanism by trying
to determine a decryption key.
• Online Games: Another application of CAPTCHA is online
games where it is preventing web Robots from playing games.
E-mail spam.
Verification of digitized books.
E-Ticketing.
31. Issues in Designing of CAPTCHA:
Security Issues
Securing CAPTCHA against attacks
Usability Issues
Improving Usability Issues
32. Conclusion:
A brief survey has been done on the CAPTCHA and list out the
applications and drawbacks of different CAPTCHA based on
Text, Images, Audio, Video and Puzzles.
Security is one of the most important factors of web based
applications now a days. As we have discussed an introduction
and overview of the CAPTCHA based security system as a
potential method of securing web based application.
CAPTCHA’s are mainly produced from Asynchronous Java-
script And XML (AJAX) & using a bit of Hypertext Pre-
Processor (PHP) technology, various algorithms are present.
33. Future Work:
In near future, main focus will be on the developing of a
CAPTCHA that provide the ease of access to the user and
highest level of security by preventing the BOT attacks.
We encourage security researchers to create captchas based on
different AI problems, hopefully they will become more user-
friendly to people with disabilities (visual/mental).
The researches are ongoing for a CAPTCHA that can be able
to authenticate a user as well as preventing the site from the
malicious attacks.
35. References:
[1] P. Gutmann, D. Naccache and C. C. Palme, “CAPTCHAs: Humans vs. Bots”,
IEEE Security & Privacy, 2013, pp. 68-70.
[2] Ved Prakash Singh et al, “Survey of Different Types of CAPTCHA”, (IJCSIT)
International Journal of Computer Science and Information Technologies, Vol. 5
(2) , 2014, 2242-2245
[3] Baljit Singh Saini and Anju Bala “A Review of Bot Protection using CAPTCHA
for Web Security”, IOSR Journal of Computer Engineering, 2013, pp. 36-42.
[4] Rizwan Ur Rahman “ SURVEY ON CAPTCHA SYSTEMS”, JGRCS Journal
of Global Research in Computer Science, Volume 3, No. 6, June 2012, pp.45-53
[5] C. Pope and K. Kaur, “Is It Human or Computer? Defending E-Commerce
with Captchas”, IEEE IT Professional, Vol. 7, No. 2, 2005, 43-49.
[6] http://www.captcha.net
36. [6] Ibrahim Furkan Ince, Ilker Yengin, Yucel Batu Salman , “ DESIGNING
CAPTCHA ALGORITHM: SPLITTING AND ROTATING THE IMAGES
AGAINST OCRs”, IEEE, Innovations in Information Technology, Dubai,
2012,pp. 1-5.
[7] M. Tariq Banday, N. A. Shah, “ A Study of CAPTCHAs for Securing Web
Services ”, IJSDIA International Journal of Secure Digital Information Age, Vol.
1. No. 2, December 2009