Watermarking used in Disaster Management Pictures- Information Security

1. SHARBANI BHATTACHARYA
Fuzzy Logic in
Watermarking System
Gyanodaya 2014
IEC-College of Engineering & Technology, Greater Noida
29th March 2014

2. WATERMARK AND NATURAL CALAMITY
The natural calamity and disaster
management are often predicted by pictures
taken from satellite from space shuttle.
Terrorist can tamper the image and can given
altogether different image which depicts
different view.
So, image is required to be watermarked
properly to be used for any kind of
judgement..

9. WATERMARKING
Watermarking is a method of authentication
of an image. It is used for copyright of the
digital contents.

10. Watermarki
ng text
Encrypte
d Text
Conve
rt to
byte
code
Byte
Code of
Digital
Image
Watermarked
Digital Image
Extracte
d Byte
Code
Covert
to Text
file
Decryptio
n
Algorithm
Watermarking
Text

11. ENCRYPTION
Cryptography is art of converting an
message into cipher text and sent to the
destination. The authorized person can
decipher the text and retrieve the original
message.

12. FUZZY LOGIC
It is logic developed by Loft Zadeh in 1965 at
University of California. It is the logic with
which unprecise data can be captured to
form a set.

13. FUZZIFICATION
Fuzzy set are acquired from Crisp Set using
membership function. This process is known
as fuzzification.

14. DEFUZZIFICATION
Converting Fuzzy set to Crisp set .

15. FUZZY SET & WATERMARKING SYSTEM
This fuzzy sets are then used to design the
front-end of the Watermarking System.

16. WATERMARKING CRITERIA
 Robustness
 Visual Quality
 Information Embedding Capacity

17. FUZZY SET WATERMARKING CRITERIA
 FRobustness is Fuzzy set for Robustness criteria
 FVisual Quality for Visual Quality
 FEmbedding Capacity Information Embedding
Capacity

18. Criteria for Watermarking
Factors affecting
Watermarking
Fuzzy Sets of Factors
Fuzzy Rule
Design of Front-End

19. CRITERIA FOR CHOICE
Front-end architecture of watermarking
system with criteria robustness.

20. FACTOR EFFECTING ROBUSTNESS
1. Visibile (Vis)
2. Invisible(NVis)
3. Blind(BL)
4. Non-Blind(NBL)
5. Medical Image(Mimg)
6. Non-Medical Image(Nimg)
7. Cryptography (Cryp)
8. Non-Crypotographic (Ncryp)
9. RSA Algo used(RSA)
10. DES Algo used (DES)
11. AES Algo used (AES)
12. New Algo used (Jnew)
13. Watermarking Method using Fuzzy logic(WMF)
14. Watermarking Method using Genetic Algorithm(WMGA)
15. Watermarking Method using Fuzzy-Genetic algo(WMFGA)
16. Fuzzy set for Robust Watermarking Scheme I
17. Fuzzy set for Semi Fragile Watermarking Scheme (SFr)
18. Fuzzy set for Fragile Watermarking Scheme (Fr)
19. Fuzzy set for Watermarking Method(WM)
20. Fuzzy set for Robustness (FRobustness)

21. STEPS FOR WATERMARKING SYSTEM
DESIGN
 Taking all the factors on which robustness of
watermarking scheme depends as crisp set.
 This crisp set is converted to fuzzy sets.
 This fuzzy sets are then used to design the
front-end of the Watermarking System.
 Converting crisp set to fuzzy set is called
fuzzification.
 These, fuzzy set elements are then put to their
respective places and positions in the user-
friendly front-end according to their membership
functions.

22. FUZZY SETS OF WATERMARKING
SYSTEM
 We are defining the following fuzzy sets.
FRobustness =[ (R,0.8), (Fr, 0.2), (SFr,0.4)]
 WM =[ (WMF, 0.5) , (WMGA, 0.4),( WMFGA,0.8)]
 FCryp = [ (RSA,0.8) , (DES,0.6),(AES,0.4),
(Jnew,0.2)]

 Fr=[ (Vis,0.8) , (BL,0.9), (Ncryp,0.9)]
 SFr=[ (Vis,0.4),(BL,0.6), (Cryp,0.6)]
 R=[(NBL,0.8) , (Cryp,0.8) ,(Nvis,0.9) ,(WM,0.4)]

23. ROBUSTNESS
FRobustness.This opens a Frame having three
tabs
 Robust
 Semi Fragile
 Fragile.

24. ROBUST TAB HAS
1. Invisibility
2.Cryptography
3.Non-Blind
4.Watermarking method i.e.
-Fuzzy or GA or Fuzzy-Genetic etc.

26. FRONT-END ARCHITECTURE
Using fuzzy sets in front-end architecture can
give more user-friendly interface. The user
can see the values of each factors in
percentage. This is defuzzification of fuzzy
set into crisp set.

27. FRONT-END ARCHITECTURE
The architecture is designed on the fuzzy
rules and user can understand the impact of
the changes with its effects of factors in
percentage given in the text box below a
drop down box.

28. CONCLUSION
The above method is applicable to all kind of
software architecture. As the complexity
increases the fuzzy rules can make design
easier.

29. BENEFIT
The benefit is it makes more user friendly
front-end.

30. DRAWBACKS
Drawback is if membership function is not
properly judged it can be cumbersome. User
can be dismayed by its complicacy.

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32. Thankyou