Efficient Selective Image Encryption Using Pseudo Random Number Sequences and AES Technique
Keywords:
Pseudo random number (PRN), Advanced Encryption Standard (AES), Arnold Transformation, Linear Feedback Shift Register (LFSR).Abstract
Selective image encryption has a significant importance in many applications as it offers significant savings in computations, cost, and time. Many attempts are exerted for this purpose as the traditional full image encryption/decryption algorithms may be too massive. In this paper, a new technique for selective image encryption is developed. The algorithm is based on a combination between the pseudo random number sequences, Arnold permutation, and the advanced encryption standard technique. The proposed technique is intended to reduce the execution time of the encryption process and increase the robustness of the encrypted image.
References
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[3] A. M. Riad, A. H. Hussein, A. A. El-Azm, "A new selective image encryption approach using hybrid chaos and block cipher," Informatics and Systems (INFOS), 2012 8th International Conference on , vol., no., pp.MM-36,MM-39, 14-16 May 2012.
[4] K. C. Ravishankar, M. G.Venkateshmurthy, "Region based selective image encryption," Computing & Informatics, ICOCI '06. International Conference, pp. 6-8, June, 2006.
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[8] Y. Wang, T. Li, "Study on Image Encryption Algorithm Based on Arnold Transformation and Chaotic System," Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on , vol.2, pp.449-451, 13-14 Oct. 2010.
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[10] Advanced Encryption Standard (AES), Federal Information Processing Standards Publication 197, Nov. 2001.
[2] A. Mahmood, R. Dony, S. Areibi, "An adaptive encryption based genetic algorithms for medical images", Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop, vol., no., pp.1-6, 22-25 Sept. 2013.
[3] A. M. Riad, A. H. Hussein, A. A. El-Azm, "A new selective image encryption approach using hybrid chaos and block cipher," Informatics and Systems (INFOS), 2012 8th International Conference on , vol., no., pp.MM-36,MM-39, 14-16 May 2012.
[4] K. C. Ravishankar, M. G.Venkateshmurthy, "Region based selective image encryption," Computing & Informatics, ICOCI '06. International Conference, pp. 6-8, June, 2006.
[5] S. K. Naveenkumar, H. T. Panduranga, and Kiran, "Partial Image Encryption for Smart Camera," International Conference on Recent Trends in Information Technology (ICRTIT), pp.126-132, 2013.
[6] Schindler, Werner, "Functionality Classes and Evaluation Methodology for Deterministic Random Number Generators", Anwendungshinweise and Interpretation (AIS), pp. 5–11. (Dec., 1999), Retrieved Aug., 2013.
[7] L. Wu, J. Zhang, W. Deng, D. He, "Arnold Transformation Algorithm and Anti-Arnold Transformation Algorithm," Information Science and Engineering (ICISE), 1st International Conference, pp.1164-1167, 26-28 Dec. 2009.
[8] Y. Wang, T. Li, "Study on Image Encryption Algorithm Based on Arnold Transformation and Chaotic System," Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on , vol.2, pp.449-451, 13-14 Oct. 2010.
[9] S. Lian, Multimedia content Encryption, CRC Press, Taylor & Francis Group, 2009.
[10] Advanced Encryption Standard (AES), Federal Information Processing Standards Publication 197, Nov. 2001.
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Published
2015-05-29
How to Cite
Ayoup, A. M., Hussein, A., & Attia, M. (2015). Efficient Selective Image Encryption Using Pseudo Random Number Sequences and AES Technique. American Scientific Research Journal for Engineering, Technology, and Sciences, 12(1), 187–198. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/746
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