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Geo captcha - a novel personalized captcha using geographic
1.
2. Introduction to CAPTCHA
Good CAPTCHA properties
CAPTCHA uses
Types of CAPTCHA
Advantages of existing CAPTCHA
Disadvantages of existing CAPTCHA
Geo-CAPTCHA
Geo-CAPTCHA Passing HIP test Condition
3. CAPTCHA -Completely Automated Public
Turing test to tell Computers and
Humans Apart.
CAPTCHA program generates the challenges.
It recognize the humans’ behaviours.
It tells humans and computers apart.
4. Security:The security dimension determines
its strength for preventing the variant attacks.
Usability: usability dimension determines the
necessity of ”user friendly” when CAPTCHA is
deployed
5. CATCHA has been used extensively in online
applications:
Online Ticket Reservation,
Online Polls,
Online Banking,
Web-based E-mail Service
7. It makes impossible for computers to pass
the CAPTCHA challenges.
It prevent Botnet attacks.
It prevents the spam attacks.
8. Existing CAPTCHA is vulnerable to :
The third Party Human Attack
Binarization
Vertical Segmentation
Phishing, Session Hijacking, Relay Attacks
and Man in the Middle Attacks
Key-logger and Hidden Camera
9. Its personalized image base CAPTCHA.
It identifies Legitimate and Illegitimate users.
It generates lot of personalized challenges which
makes it suitable for cloud computing applications.
It non-recordable & OCR can’t defeat it.
Its specifically designed to deal with third party
attacks.
It also prevents Automatic programming attacks.
10. Idea :To use a geographic scene image.
Image is privately known to each user.
Working : Generates a set of candidate
images for a location selected by each user.
User selects a geo-location image from the
set .
This is registered private image to be used as
the correct answer to the challenges.
11. The challenges are vertically and horizontally
rotated images of the registered private
image.
Fig(1)The random challenge
of any angle
Fig(2)The rotated solution
of correct angle street
view
12. Condition :Security threshold condition
if | GH(x)- GH(y) <= T | then pass HIP test.
GH(x)- denotes the function to calculate the hash
value of image x.
GH(y)- denotes the function to calculate the hash
value of image y.
T- we define a error threshold .
13. 1. U User’s log-in account;
2. PW User’s log-in password;
3. A Pick a personalized Geo-location
image which only known to the user;
4. Qu
x and Qu
y C(A);
5. R G(Qu
x;Qu
y);
6. S Pick a solution image from R;
7. Save the h, p , (Qu
x; Qu
y ), U and PW to
database;
14. U User’s log-in account;
while U is true do
Qu
x and Qu
y M(U);
end while
R G(Qu
x; Qu
y );
C Randomize(R);
15. Challenge
Quantity
Challenge can
be recorded
Broken by OCR
Typical
CAPTCHA
Plenty &
Dynamic
No Text-based: Yes
Image-based:
No
Personalized
challenge
Fixed & Static Yes Yes
Geo-CAPTCHA Fixed & Dynamic No No
