Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

April Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the April 2021 Edition of the journal. The last date of research paper submission is March 15, 2021.

Multiple Image Encryption using Fractional Multiresolution Transforms

S. Arivazhagan, W. Sylvia Lilly Jebarani, M. Lakshmi Published in Security

International Journal of Applied Information Systems
Year of Publication: 2015
© 2013 by IJAIS Journal
10.5120/ijais15-451282
Download full text
  1. S.arivazhagan, W.sylvia Lilly Jebarani and M.lakshmi. Article: Multiple Image Encryption using Fractional Multiresolution Transforms. International Journal of Applied Information Systems 8(2):25-31, January 2015. BibTeX

    @article{key:article,
    	author = "S.arivazhagan and W.sylvia Lilly Jebarani and M.lakshmi",
    	title = "Article: Multiple Image Encryption using Fractional Multiresolution Transforms",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 8,
    	number = 2,
    	pages = "25-31",
    	month = "January",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Secured communication has been a common practice in the social life. The main idea of encryption is to transform the message in which its original information can only be reconstructed by a desired recipient. As data significance can easily be determined in transformation domain, it is a preferable domain for encryption of digital images. In this work, secured multiple image transmission is chosen as the primary application and hence a method is proposed for securing multiple images during communication and transmission over insecure channel. The multiple images are encrypted using Arnold cat Map and then using various Fractional Multiresolutional transforms followed by sharing. Recent years have also witnessed Fractional Fourier transform (FrFT) domain as a potential transformation domain for encryption. Fractional combined Multiresolution domain inherits the virtues of Multiresolution transform and Fractional domain providing improved security. This offers the Fractional order as an extra key, in addition to the keys offered by any Multiresolution based encryption technique. In the proposed work, Fractional Undecimated Dual Tree Complex Wavelet Transform (FrUDT-CWT) is introduced by coalescing Fractional Fourier Transform (FrFT) and Undecimated Dual Tree Complex Wavelet Transform (UDT-CWT) inheriting the properties of both FrFT and UDT-CWT. Multiple image encryption is done using FrUDT-CWT and the results are compared with FrDT-CWT and FrWT.

Reference

  1. Nidhi Taneja, Balasubramanian Raman, Indra Gupta "Selective image encryption in fractional wavelet domain", Elsevier, International Journal of Electronics and Commununication (AEU) 65 (2011) 338–344.
  2. Gaurav Bhatnagar, Jonathan Wu, Balasubramanian Raman, "Discrete fractional wavelet transform and its application to multiple image encryption", Elsevier, Information Sciences 223 (2013) 297–316.
  3. Gaurav Bhatnagar, Jonathan Wu, Balasubramanian Raman, "Fractional dual tree complex wavelet transform and its application to biometric security during communication and transmission", Elsevier, Future Generation Computer Systems 28 (2012) 254–267.
  4. Gaurav Bhatnagar, Jonathan Wu, "Biometrics inspired watermarking based on a fractional dual tree complex wavelet transform", Future Generation Computer Systems 29 (2013) 182–195.
  5. Hill. P, Achim. A, Bull. D, "The Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model", 19th IEEE International Conference on Image Processing (ICIP), 2012.
  6. N. K. Pareek, Vinod Patidar, "Image encryption using chaotic logistic map", Elsevier, Image and Vision Computing 24 (2006) 926–934.
  7. Xiaojun Tong, Minggen Cui, "Image encryption with compound chaotic sequence cipher shifting dynamically", Elsevier, Image and Vision Computing 26 (2008) 843–850.
  8. Chengqing Li, Shujun Li, Guanrong Chen, Wolfgang A. Halang,"Cryptanalysis of an image encryption scheme based on a compound chaotic sequence", Elsevier, Image and Vision Computing 27 (2009) 1035–1039.
  9. Yuhong Zhang, Fenxia Zhao, "The algorithm of Fractional Fourier Transform and application in digital image encryption", IEEE 2009.
  10. Lin Zhang, Jianhua Wu and Nanrun Zhou, "Image Encryption with Discrete Fractional Cosine Transform and Chaos", Fifth International Conference on Information Assurance and Security, IEEE 2009.
  11. H. H. Nien, W. T. Huang, C. M. Hung, S. C. Chen, S. Y. Wu," Hybrid Image Encryption Using Multi-Chaos-System", IEEE 2009.
  12. Ran Tao, Xiang-Yi Meng, Yue Wang, "Image Encryption With Multiorders of Fractional Fourier Transforms", IEEE transactions on information forensics and security, 2010.
  13. Neeru Jindala, Kulbir Singh,"Image Encryption using Discrete Fractional Transforms", International Conference on Advances in Recent Technologies in Communication and Computing, IEEE 2010.
  14. Zhu Yu, Zhou Zhe, Yang Haibing, Pan Wenjie, Zhang Yunpeng,"A Chaos-Based Image Encryption Algorithm Using Wavelet Transform", IEEE 2010.
  15. Huijuan Li, Yurong Wang," Double-image encryption based on discrete fractional random transform and chaotic maps", Elsevier, Optics and Lasers in Engineering 49 (2011) 753–757.
  16. Zhengjun Liu, Lie Xu, Jingmin Dai, Shutian Liu,"Image encryption by using local random phase encoding in fractional Fourier transform domains" Elsevier, Optik 123 (2012) 428– 432.

Keywords

Arnold cat map, Encryption, Fractional Dual Tree Complex Wavelet Transform, Fractional Wavelet Transform, Fractional Undecimated Dual Tree Complex Wavelet Transform