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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  1/2021 - 3

A New Visual Cryptography Method Based on the Profile Hidden Markov Model

OZCAN, H. See more information about OZCAN, H. on SCOPUS See more information about OZCAN, H. on IEEExplore See more information about OZCAN, H. on Web of Science, KAYA GULAGIZ, F. See more information about  KAYA GULAGIZ, F. on SCOPUS See more information about  KAYA GULAGIZ, F. on SCOPUS See more information about KAYA GULAGIZ, F. on Web of Science, ALTUNCU, M. A. See more information about  ALTUNCU, M. A. on SCOPUS See more information about  ALTUNCU, M. A. on SCOPUS See more information about ALTUNCU, M. A. on Web of Science, ILKIN, S. See more information about  ILKIN, S. on SCOPUS See more information about  ILKIN, S. on SCOPUS See more information about ILKIN, S. on Web of Science, SAHIN, S. See more information about SAHIN, S. on SCOPUS See more information about SAHIN, S. on SCOPUS See more information about SAHIN, S. on Web of Science
 
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Download PDF pdficon (2,981 KB) | Citation | Downloads: 585 | Views: 705

Author keywords
ciphers, cryptography, hidden Markov models, performance analysis, Viterbi algorithm

References keywords
image(25), encryption(18), security(8), analysis(7), applications(6), algorithm(6), systems(5), processing(5), novel(5), information(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2021-02-28
Volume 21, Issue 1, Year 2021, On page(s): 21 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.01003
Web of Science Accession Number: 000624018800003
SCOPUS ID: 85102807425

Abstract
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Digital image capturing technologies and the internet are widely used today. These technologies make it very easy and fast to capture and share personal images in daily life. This causes difficulties in ensuring the confidentiality of private data and risks such as third persons getting hold of these data. The main goal of this study is to develop a user-friendly, powerful and effective method to encrypt digital images. For this aim, we propose a new block encryption method based on the Profile Hidden Markov Model. The method we propose consists of three main components. These are probability vector (PV), initialization vector (IV) and substitution-box (S-box). Encryption is in 24-bit blocks for color images and 8-bit blocks for grayscale images. The encryption rate in the proposed block encryption method is 0.7747 Mbit/s for color images and 1.0535 Mbit/s for the grayscale images. Theoretical analysis and experimental results confirm that the proposed encryption algorithm can provide high security both for color and grayscale images.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Naor and A. Shamir, "Visual cryptography," in Proc. Advances in Cryptology --- EUROCRYPT'94, Berlin, Germany, 1995, pp. 1-12.
[CrossRef] [SCOPUS Times Cited 1740]


[2] J. Thakur and N. Kumar, "DES, AES and Blowfish: Symmetric key cryptography algorithms simulation based performance analysis," International Journal of Emerging Technology and Advanced Engineering, vol. 1, pp. 6-12, 2011

[3] Y. Kumar, R. Munjal and H. Sharma, "Comparison of symmetric and asymmetric cryptography with existing vulnerabilities and countermeasures," International Journal of Computer Science and Management Studies, vol. 11, pp. 60-63, 2011

[4] E. Mansoor, S. Khan and U. B. Khalid, "Symmetric algorithm survey: A comparative analysis," International Journal of Computer Applications, vol. 61, no. 20, pp. 12-19, 2013

[5] T. Chuman, W. Sirichotedumrong and H. Kiya, "Encryption-then-compression systems using grayscale-based image encryption for JPEG Images," IEEE Transactions on Information Forensics and Security, vol. 14, no. 6, pp. 1515-1525, 2019.
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 93]


[6] X. Wu and W. Sun, "Generalized random grid and its applications in visual cryptography," IEEE Transactions on Information Forensics and Security, vol. 8, no. 9, pp. 1541-1553, 2013.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 61]


[7] M. Preishuber, T. Hütter, S. Katzenbeisser, A. Uhl, "Depreciating motivation and empirical security analysis of chaos-based image and video encryption," IEEE Transactions on Information Forensics and Security, vol. 13, no. 9, pp. 2137-2150, 2018.
[CrossRef] [Web of Science Times Cited 117] [SCOPUS Times Cited 132]


[8] E. Guvenoglu, "A dynamic S-BOX design method for image encryption," El-Cezeri: Journal of Science and Engineering, vol. 3, no. 2, pp. 179-191, 2016.
[CrossRef]


[9] O. Reyad, M. A. Mofaddel, W. M. Abd-Elhafiez and M. Fathy, "A novel image encryption scheme based on different block sizes for grayscale and color images," in Proc. 2017 12th International Conference on Computer Engineering and Systems (ICCES), Cairo, Egypt, 2017, pp. 455-461.
[CrossRef] [SCOPUS Times Cited 10]


[10] A. C. Bagbaba, B. Ors, O. S. Kayhan and A. T. Erozan, "JPEG image encryption via TEA algorithm," in Proc. 2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 2015, pp. 2090-2093.
[CrossRef] [SCOPUS Times Cited 2]


[11] S. I. Bejinariu, R. Luca and H. Costin, "Nature-inspired algorithms based multispectral image fusion," in Proc. 9th International Conference and Exposition on Electrical and Power Engineering (EPE), Iasi, Romania, 2016, pp. 10-15.
[CrossRef] [SCOPUS Times Cited 22]


[12] S. K. Abd-El-Hafiz, A. G. Radwan, S. H. Abdel-Haleem, M. L. Barakat, "A fractal-based image encryption system," IET Image Processing, vol. 8, no. 12, pp. 742-752, 2014.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 45]


[13] E. Guvenoglu and E. M. Esin, "Image encryption based on Knutt / Durstenfeld Shuffle Algorithm," Journal of Polytechnic, vol. 12, no. 3, pp. 151 - 155, 2009.
[CrossRef]


[14] C. Naveen, T. V. S. Gupta, V. R. Satpute, A. S. Gandhi, "A simple and efficient approach for medical image security using chaos on EZW," in Proc. 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR), Kolkata, India, 2015, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 7]


[15] M. Benssalah, Y. Rhaskali and M. S. Azzaz, "Medical images encryption based on elliptic curve cryptography and chaos theory," in Proc. 2018 International Conference on Smart Communications in Network Technologies (SaCoNeT), El Oued, Algeria, 2018, pp. 222-226.
[CrossRef] [SCOPUS Times Cited 10]


[16] R. Chaudhary, A. Jindal, G. S. Aujla, et al., "LSCSH: Lattice-based becure cryptosystem for smart healthcare in smart cities environment," IEEE Communications Magazine, vol. 56, no. 4, pp. 24-32, 2018.
[CrossRef] [Web of Science Times Cited 43] [SCOPUS Times Cited 78]


[17] H. Liu, B. Zhao and L. Huang, "A remote-sensing image encryption scheme using DNA bases probability and two-dimensional logistic map," IEEE Access, vol. 7, pp. 65450-65459, 2019.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 23]


[18] A. Krogh, M. Brown, I. S. Mian, K. Sjolander and D. Haussler, "Hidden Markov Models in computational biology: Applications to protein modeling," Journal of Molecular Biology, vol. 235, no. 5, pp. 1501-1531, 1994.
[CrossRef] [Web of Science Times Cited 1190] [SCOPUS Times Cited 1338]


[19] D. Mount, Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor Laboratory Press, pp. 409-494, 2004

[20] F. K. Gulagız, "Estimation of synchronization time in content delivery networks with profile hidden Markov Model," PhD. Thesis, Kocaeli University, 2018

[21] R. Durbin, S. R. Eddy, A. Krogh, G. J. Mitchison, Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, pp. 101-134, 1998.
[CrossRef]


[22] T. Quach and M. Farooq, "Maximum likelihood track formation with the Viterbi algorithm," in Proc. Proceedings of 1994 33rd IEEE Conference on Decision and Control, Lake Buena Vista, FL, USA, 1994, pp. 271-276.
[CrossRef]


[23] A. Abidi, Q. Wang, B. Bouallegue, M. Machhout and C. Guyeux, "Quantitative evaluation of chaotic CBC mode of operation," in Proc. 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Monastir, Tunisia, 2016, pp. 88-92.
[CrossRef] [SCOPUS Times Cited 7]


[24] K. T. Huang, J. H. Chiu and S. S. Shen, "A novel structure with dynamic operation mode for symmetric-key block ciphers," International Journal of Network Security and Its Applications, vol. 5, no. 1, pp. 17, 2013.
[CrossRef]


[25] J. K. Wolf, A. M. Viterbi and G. S. Dixon, "Finding the best set of k paths through a trellis with application to multitarget tracking," IEEE Transactions on Aerospace and Electronic Systems, vol. 25, no. 2, pp. 287-296, 1989.
[CrossRef] [Web of Science Times Cited 66] [SCOPUS Times Cited 35]


[26] N. C. F. Codella, V. Rotemberg, P. Tschandl, et al., "Skin lesion analysis toward melanoma detection," in Proc. 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC), Granada, Spain, 2019, pp. 1-12

[27] Y. Wu, J. P. Noonan, G. Yang, H. Jin, "Image encryption using the two-dimensional logistic chaotic map," Journal of Electronic Imaging, vol. 21, no.1, pp. 1-16, 2012.
[CrossRef] [Web of Science Times Cited 171]


[28] J. Alireza and M. Abdolrasoul, "Image encryption using chaos and block cipher," Computer and Information Science, vol. 4, no. 1, pp. 172-185, 2010.
[CrossRef]


[29] T. Aydogan and C. Bayilmis, "A new efficient block matching data hiding method based on scanning order selection in medical images," Turkish Journal of Electrical Engineering and Computer Sciences, vol. 25, pp. 461-473, 2017.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


[30] A. Hore and D. Ziou, "Image quality metrics: PSNR vs. SSIM," in Proc. 2010 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010, pp. 2366-2369.
[CrossRef] [SCOPUS Times Cited 1590]


[31] Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
[CrossRef] [Web of Science Times Cited 23250] [SCOPUS Times Cited 27780]


[32] Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multiscale structural similarity for image quality assessment," in Proc. The Thrity-Seventh Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 2003, pp. 1398-1402.
[CrossRef]


[33] C. Zhu, G. Wang and K. Sun, "Cryptanalysis and improvement on an image encryption algorithm design using a novel chaos based S-Box," Symmetry, vol. 10, pp. 399-414, 2018.
[CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 60]


[34] P. Narendra, "Design and analysis of a novel digital image encryption scheme," International Journal of Network Security and Its Applications, vol. 4, pp. 95-108, 2012.
[CrossRef]


[35] J. Wu, X. Liao and B. Yang, "Color image encryption based on chaotic systems and elliptic curve ElGamal scheme," Signal Processing, vol. 141, pp. 109-124, 2017.
[CrossRef] [Web of Science Times Cited 97] [SCOPUS Times Cited 110]


[36] Y. Wu, J. P. Noonan and S. S. Agaian, "NPCR and UACI randomness tests for image encryption," Cyber Journals: Journal of Selected Areas in Telecommunications, vol. 2, pp. 31-38, 2011

[37] Y. Huang, L. Cao, J. Zhang, L. Pan and Y. Liu, "Exploring feature coupling and model coupling for image source identification," IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3108-3121, 2018.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 9]


[38] N. S. Atalay, S. Dogan, T. Tuncer, E. Akbal, "Image encryption methods and algorithms," Dicle University Journal of Engineering, vol. 10, no. 3, pp. 815-831, 2019.
[CrossRef]


[39] Y. Song, Z. Zhu, W. Zhang, H. Yu and Y. Zhao, "Efficient and secure image encryption algorithm using a novel key-substitution architecture," IEEE Access, vol. 7, pp. 84386-84400, 2019.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]




References Weight

Web of Science® Citations for all references: 25,191 TCR
SCOPUS® Citations for all references: 33,169 TCR

Web of Science® Average Citations per reference: 630 ACR
SCOPUS® Average Citations per reference: 829 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-07-02 17:21 in 202 seconds.




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