Designing Hybrid Cryptosystem for Secure Transmission of Image Data using Biometric Fingerprint

Designing Hybrid Cryptosystem for Secure Transmission
of Image Data using Biometric Fingerprint
Presented By:
Ranjit R, Banshpal

• Introduction
• Problem Definition
• Literature Survey
• Methodology
• Project Flow
• Tools / Platform
• Implementation Detail
• Experimental Results
• Conclusion
• Future Scope
• Publications Detail
• References
Outline

 Security is important factor for any communication system.
 Like password in ATM,
 For social networking sites etc.
 Security threat becomes a critical problem that must be solved by
new reliable and robust identification, verification or cryptographic
techniques .
 Biometric method .
To reduce the storage space or for fast transmission or for fast
sharing of any data compression technique is useful.
 Reduced data size.
Introduction

 System authentication
 Data Integrity
 Data Confidentiality
Contd...

In Password based protection, Password can be stolen or forget.
 Traditional steganographic technique compresses secret image if its
size is larger than cover image. that degrades the quality of secret
image.
 There is restriction on size of image data which is to be transferred
if data hiding technique is used .
 Less embedding capacity.
Existing system does not uses compression algorithm to efficiently
compress image data .
 Simple key is used for image encryption and decryption purpose.
Problem Definition

 To overcome the above drawbacks
 Single system is design which provides
 System authentication
 Data Integrity
 Data Confidentiality
 Mosaic image method is used for secure transmission of secret
image.
 Biometric key is used for system authentication and image
encryption.

Sr.no. Method Name Description
1. LSB Substitution [3][4] • Simple technique for data embedding.
• Most significant bits are embedded in least
significant bits.
• Less embedding Capacity.
2. RGB intensity based
Steganography [5]
• Data embedding takes place in one of the
channel that is Red, Green and blue.
• Embedding capacity depends on the intensity
value of pixel.
3. Difference Expansion
Technique [3]
• It uses redundancy in digital images.
• If less redundancy in image then performance
degraded
4. Reversible Data Hiding
technique
• Based on histogram technique
• Works on only grey- scale images only.
Literature Survey

Sr.no. Method Name Description
5. Confusion and Diffusion
[8]
• It is an image encryption method.
• First image get scrambled then decomposed
into several bit planes.
• Uses key to encrypt each bit plain.
6. Secret –Fragment- Visible-
Mosaic Image method [1]
• Secure image transmission method
• It searches database for similar images for data
embedding
7. DES based image
Encryption [11]
• It uses 64 bit block cipher.
• 56 bit key.
• vulnerable to attack because of small key size
8. Selective Region-Based
Method [18]
• In first phase the area which contain more
information is selected for Encryption.
• In second phase non encrypted and encrypted area
get interchanged.

 SHA -256
 One way cryptographic function.
 used to generate biometric key from fingerprint.
Input 61 62 63 64 65 66
Binary 00111101 00111110 00111111 01000000 01000001 01000010
Hash Ba7816bf 8f01cfea 414140de 5dae2223 b00361a3 96177a9c
b410ff61 f20015ad
1010100011100110101010110
1011010101010100001010101 SHA-256 Hex
Key
Methodology

 Secret –Fragment-Visible –Mosaic Image method
Advantages
No need to compress secret image.
 It makes an use of color characteristic of target image.
Recovered Secret image is nearly lossless .
 No need of database for searching compatible target image.

 JPEG Image Compression
• It is a lossy image compression.
• It divides the image into 8 * 8 blocks
• It makes an use of quantization process. Quantization process deals
with reducing the number of colors required for representing color
image.
 AES algorithm
• It is a symmetric key algorithm.
• There are 3 types of AES, AES- 128, AES - 192, and AES-256
• It is stronger than DES algorithm.

 Minimum Software Requirement
1. Operating System : Windows- XP or any later version of windows
2. Language : Java
3. Platform : Netbeans IDE 7.2 or later
4. Database : MySQL
•Minimum Hardware Requirement
1. Processor : Intel Pentium IV or later
2. RAM : 256 MB or more
3. Hard Disk Capacity : 2 GB or more
4. Fingerprint Scanner / Direct image
Tools / Platform

Implementation Details

Fig 1. System Login
Fig 2 .Generated 256-bit Key

Fig 3. Client side
Fig 4. Mosaic Image Compression Fig 5. Mosaic Image Encryption

Fig 6. Send to receiver
Fig 7. At receiver

Fig 8. Decompression
Fig 9. Secret Image Extraction

Secret Image Target Image
Target Block
Mosaic Image
Mosaic Image Creation
Experimental Results

 PSNR (Peak Signal to Noise Ratio)
 RMSE Value ( Root Mean Square Error Value)
 
 

 
 


M
i
N
j
M
i
N
j
ijij
gf
gf
ijijMN
gfPSNR
MN
gfRMSE
1 1
2
2
10
1 1
2
)()(
][
255log
)()(
1
10),(
][
1
,
Image Parameters
M= Number of pixels in first image
N= Number of pixels in second image
Where MN= Total number of pixel in images
imagefirstinpixelofcoordinate
),(
f ji
imagesecondofpixelofcoordinate
),(
g ji

Fig 10. Comparison on the basis of
PSNR value
Fig 11. Comparison on the basis of RMSE Value
Performance Analysis

Fig 12. Error value
 Above graph shows the distortion between transmitted image and
received image.

Fig 13. Comparison on the basis of Image Quality and
Embedding Capacity

 In this project Hybrid system is proposed which is more robust in nature.
 Secret fragment visible mosaic image method is used for secure
transmission through network. Proposed system has better PSNR value than
existing system.
System authentication is provided by means of biometric fingerprint and
data confidentiality is achieves by means of encryption method. For fast
transmission of image data lossy compression technique is used.
Thus the proposed system provides data confidentiality, data integrity and
system authentication in a single model.
Conclusion

 Future work Includes
 Improving the efficiency of proposed system.
 Instead of using single biometric feature like fingerprint for system
authentication, multimodal biometric features can be used.
 Proposed system can be implemented with different color model other
than RGB.
 Focus will be on better mosaic image creation.
Future Scope

Sr.
No
Authors Title of Paper Journal /Conference
Name,Volume, Issue
Date / ISBN/ISSN
Impact Factor
DOI Page
No
1. Prashant
Dahake
Prof. S.U.
Nimbhorkar
Review on various
Methods for Secure
Transmission of
Images for
Maintaining Image
Integrity
IJCSN (International
Journal of Computer
Science and Network)
Volume 3, Issue 6,
December 2014 Impact
Factor .274
Published
December
2014
450-
454
2. Prashant
Dahake
Prof. S.U.
Nimbhorkar
Hybrid
Cryptosystem for
Maintaining Image
Integrity using
Biometric
Fingerprint
.
International Conference
on Pervasive Computing
ICPC 2015 Pune
8-10 january 2015
ISBN 978 - 1 - 4799 - 6272
– 3
Published
and
Presented
1-5
Publication Detail

[1] I-Jen Lai, Wen-Hsiang Tsai, "Secret-Fragment-Visible Mosaic Image–A New
Computer Art and Its Application to Information Hiding", Information Forensics
and Security, IEEE Transactions on , vol.6, no.3, pp.936,945, Sept. 2011.
.
[2] Gaurav Bhatnagar, Q. M. Jonathan Wu, “Biometric Inspired Multimedia
Encryption Based on Dual Parameter Fractional Fourier Transform”, IEEE
Transaction on Systems, Man, and Cybernetics: Systems 2014.
[3] Ya-Lin Lee, Wen-Hsiang Tsai, "A New Secure Image Transmission Technique
via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color
Transformations", IEEE Transactions on Circuits and Systems for Video
Technology, vol.24, no.4, pp.695,703, April 2014.
[4] H. Yang, X. Sun, G. Sun, “A High-Capacity Image Data Hiding Scheme Using
Adaptive LSB Substitution”, Journal: Radio engineering, vol. 18, no. 4, (2009),
pp. 509-516.
[5] M. Tanvir Parvez, A. Abdul-Aziz Gutub, “RGB Intensity Based Variable-Bits
Image Steganography”, IEEE Asia-Pacific Services Computing Conference,
(2008), pp. 1322-1327
References

[6] V. Madhu Viswanatham, J. Manikonda, “A Novel Technique for Embedding Data
in Spatial Domain”, International Journal on Computer Science and Engineering,
IJCSE, vol. 2, (2010).
[7] M. Chaumont, W. Puech, “DCT-Based Data Hiding Method To Embed the Color
Information in a JPEG Grey Level Image”, 14th European Signal Processing
Conference (EUSIPCO 2006), Florence, Italy, copyright by EURASIP, (2006)
September 4-8.
[8] Naik,K. Pal, A.K., "An image cryptosystem based on diffusion of significant bit-
planes of a scrambled image with generated binary key matrices" , IEEE
International Conference on Computational Intelligence and Computing Research
(ICCIC), pp.1,4, 26-28 Dec. 2013.
[9] Priyanka dixit, Mayanka dixit, “Study of JPEG Image Compression Technique
Using Discrete Cosine Transformation”, International Journal of Interdisciplinary
Research and Innovations Vol. 1, Issue 1, pp: (32-35), October-December 2013.
[10] Ritu Pahal ,Vikas kumar, “Efficient Implementation of AES”, International Journal
of Advanced Research in Computer Science and Software Engineering, Volume 3,
Issue 7, July 2013.
.

[11] Qian Gong-bin, Jiang Qing-feng, Qiu Shui-sheng, "A new image encryption
scheme based on DES algorithm and Chua's circuit," IEEE International
Workshop on Imaging Systems and Technique, pp.168,172, 11-12 May 2009.
[12]Pia Singh, Prof. Karamjeet Singh, “Image Encryption and Decryption Using
Blowfish Algorithm In Matlab”, International Journal of Scientific &
Engineering Research, Volume 4, Issue 7, July-2013.
[13] U. Uludag, S. Pankanti, S. Prabhakar and A.K. Jain, “Biometric cryptosystems:
issues and challenges”, Proceedings of the IEEE, Vol. 92, No. 6, Pp. 948 –960,
2004.
[14] Yao-Jen Chang, Wende Zhang, Tsuhan Chen, “Biometrics-based cryptographic
key generation”, IEEE International Conference on Multimedia and Expo
(ICME), Vol. 3, Pp. 2203 – 2206, 2004.
[15]Bhammar M.B, Mehta K.A, “Survey of Various Image Compression
Techniques”, Ijdi-Eret- International Journal of Darashan Institute On
Engineering Research & Emerging Technology Vol. 1, No. 1, 2012.
[16] Singh A., Gahlawa M. “Image Compression and its Various”, International
Journal of Advanced Research in Computer Science and Software Engineering.
Volume 3, Issue 6, June 2013.

[17]Hae-Yeoun Lee, “Generation of Photo-Mosaic Images through Block Matching
and Color Adjustment”, International Journal of Computer, Information,
Systems and Control Engineering Vol. 8 No.3, 2014.
[18] Ullah, I, Iqbal, W.; Masood, A, "Selective region based images
encryption", 2nd National Conference on Information Assurance (NCIA),
pp.125,128, 11-12 IEEE 2013.
[19] V. Madhu Viswanatham, J. Manikonda, “A Novel Technique for Embedding
Data in Spatial Domain”, International Journal on Computer Science and
Engineering, IJCSE, vol. 2, (2010).
[20]Prashant Dahake and Sonali Nimbhorkar, “Review on Various Methods for
Secure Transmission of Images for Maintaining Image Integrity”, IJCSN
Journal Volume 3, Issue 6, December 2014.
[21] Prashant Dahake and Sonali Nimbhorkar, “Hybrid Cryptosystem for
Maintaining Image Integrity using Biometric Fingerprint”, IEEE international
conference on parvasive computing 2015.

Designing Hybrid Cryptosystem for Secure Transmission of Image Data using Biometric Fingerprint

Designing Hybrid Cryptosystem for Secure Transmission of Image Data using Biometric Fingerprint

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