Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Advanced Color Covert Image Sharing using Arnold Cat Map and Visual Cryptography


Affiliations
1 Department of Electronics and Communication Engineering, Dayananda Sagar College of Engineering, India
     

   Subscribe/Renew Journal


The demand for effective information security schemes is increasing day by day with the continual growth of the internet. Visual cryptography (VC) is a very important secret sharing scheme. The essential step behind this secret sharing scheme is to convert the color covert image into multiple indecipherable image shares so it cannot reveal the data within the color covert image unless combined along by some mathematical calculation. This paper proposes an advanced color covert image-sharing scheme using Arnold cat map (ACM) and VC. The random matrix-encoding scheme encodes the color covert image into an image matrix. ACM algorithm disrupts the high correlation among the pixels of the image matrix to generate an encrypted image. The generation of shares from this encrypted image is by VC that uses pixel reversal and random matrix generator. The shares one by one does not provide any information concerning the color covert image however put together they offer back the encrypted image. The projected paradigm offers 3 levels of security and through decipherment gives back the covert image without loss of information. Related examples and experimental results reveal the effectiveness of this scheme.

Keywords

Visual Cryptography, Color Covert Image, ACM, Random Matrix.
Subscription Login to verify subscription
User
Notifications
Font Size

  • Xinyi Zhou, Wei Gong, Wen Long Fu and Lian Jing Jin, “An Improved Method for LSB Based Color Image Steganography Combined with Cryptography”, Proceedings of IEEE 15th International Conference on Computer and Information Sciences, pp. 26-29, 2016
  • Meera Kamath, Arpita Parab, Aarti Salyankar and Surekha Dholay, “Extended Visual Cryptography for color Images using Coding Tables”, Proceedings of IEEE International Conference on Communication, Information and Computing Technology, pp. 1-6, 2012.
  • Bin Yan, Yong Xiang and Guang Hua, “Improving the Visual Quality of Size-Invariant Visual Cryptography for Grayscale Images: An Analysis-by-Synthesis (AbS) Approach”, IEEE Transactions On Image Processing, Vol. 28, No. 2, pp. 896-911, 2019.
  • Ratnesh N. Chaturvedi, Sudeep D. Thepade and Swati N. Ahirrao, “Quality Enhancement of Visual Cryptography for Secret Sharing of Binary, Gray and Color Images”, Proceedings of IEEE International Conference on Computing Communication Control and Automation, pp. 14-20, 2018.
  • Feng Liu, Teng Guo, Chuan Kun Wu and Lina Qian, “Improving the Visual Quality of Size Invariant Visual Cryptography Scheme”, Journal of Visual Communication and Image Representation, Vol. 23, No. 2, pp. 331-342, 2011.
  • Chih-Ming Hu and Wen-Guey Tzeng, “Cheating Prevention in Visual Cryptography”, IEEE Transactions on Image Processing, Vol. 16, No. 1, pp. 36-45, 2007
  • Sudhir Rao, R. Anushree and Y. Kavitha, “A Novel and Highly Secure Encryption Methodology using a Combination of AES and Visual Cryptography”, Proceedings of International Conference on Advances in Computing, Communications, and Informatics, pp. 112-118, 2016.
  • K. Shankar and P. Eswaran, “RGB Based Multiple Share Creation in Visual Cryptography with Aid of Elliptic Curve Cryptography”, China Communications, Vol. 14, No. 2, pp. 118-130, 2017.
  • M. Karolin and T. Meyyappan, “Secret Multiple Share Creation with Color Images using Visual Cryptography”, Proceedings of International Conference on Communication and Signal Processing, pp. 1-7, 2019.
  • Shivani Pahuja and Singara Singh Kasana, “Halftone Visual Cryptography for Color Images”, Proceedings of International Conference on Computer, Communications and Electronics, pp. 233-239, 2017.
  • Modigari Narendra, Dhanya Ben, C.P. Jetlin and L. Jani Anbarasi, “An Efficient Retrieval of Watermarked Multiple Color Images using Secret Sharing”, Proceedings of International Conference on Signal Processing, Communications and Networking, pp. 16-22, 2017.
  • Ankush V. Dahat and Pallavi V. Chavan, “Secret Sharing Based Visual Cryptography Scheme using CMY Color Space”, Procedia Computer Science, Vol. 78, pp. 563-570, 2016.
  • R.M. Shiny, P. Jayalakshmi, A. Rajakrishnammal, T. Sivaprabha, “An Efficient Tagged Visual Cryptography for Color Images”, Proceedings of International Conference on Computational Intelligence and Computing Research, pp. 261-267, 2016.
  • Rubeena Jabi, Punyaban Patel and Deepty Dubey, “An Efficient Secure Data Transmission Based on Visual Cryptography”, Proceedings of International Conference on Research Advances in Integrated Navigation Systems, pp. 1-7, 2016.
  • Eko Hariyanto and Robbi Rahim, “Arnold’s Cat Map Algorithm in Digital Image Encryption”, International Journal of Science and Research, Vol. 5, No. 10, pp. 1363-1365, 2016.
  • Priyanka Gupta, Sonia Singh and Isha Mangal, “Image Encryption based on Arnold Cat Map and S-Box”, International Journal of Advanced Research in Computer Science and software Engineering, Vol. 4, No. 8, pp. 807-812, 2014.
  • Manjit Kaur and Vijay Kumar, “Colour Image Encryption Technique using Differential Evolution in non-Subsampled Contourlet Transform Domain”, IET Image Processing, Vol. 12, No. 7, pp. 1273-1283, 2018.
  • Chien-Chang Chen and Wei-Jie Wu, “A Secure Boolean-based Multi- Secret Image Sharing Scheme”, Journal of Systems and Software, Vol. 92, pp. 107-114, 2014.
  • R. Babu, M. Sridhar and B. Raveendra Babu, “Information Hiding in Gray Scale Images using Pseudo-Randomized Visual Cryptography Algorithm for Visual Information Security”, Proceedings of International Conference on Information Systems and Computer Networks, pp. 445-453, 2013.

Abstract Views: 348

PDF Views: 0




  • Advanced Color Covert Image Sharing using Arnold Cat Map and Visual Cryptography

Abstract Views: 348  |  PDF Views: 0

Authors

B. K. Sapna
Department of Electronics and Communication Engineering, Dayananda Sagar College of Engineering, India
K. L. Sudha
Department of Electronics and Communication Engineering, Dayananda Sagar College of Engineering, India

Abstract


The demand for effective information security schemes is increasing day by day with the continual growth of the internet. Visual cryptography (VC) is a very important secret sharing scheme. The essential step behind this secret sharing scheme is to convert the color covert image into multiple indecipherable image shares so it cannot reveal the data within the color covert image unless combined along by some mathematical calculation. This paper proposes an advanced color covert image-sharing scheme using Arnold cat map (ACM) and VC. The random matrix-encoding scheme encodes the color covert image into an image matrix. ACM algorithm disrupts the high correlation among the pixels of the image matrix to generate an encrypted image. The generation of shares from this encrypted image is by VC that uses pixel reversal and random matrix generator. The shares one by one does not provide any information concerning the color covert image however put together they offer back the encrypted image. The projected paradigm offers 3 levels of security and through decipherment gives back the covert image without loss of information. Related examples and experimental results reveal the effectiveness of this scheme.

Keywords


Visual Cryptography, Color Covert Image, ACM, Random Matrix.

References