Efficient image encryption scheme based on generalized logistic map for real time image processing
In this era of the information age with digitalization, the transmission of sensitive real-time image information over insecure channels is highly-likely to be accessed or even attacked by an adversary. To prevent such unauthorized access, cryptography is being used to convert sensitive information...
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| Vydáno v: | Journal of real-time image processing Ročník 17; číslo 6; s. 2139 - 2151 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2020
Springer Nature B.V |
| Témata: | |
| ISSN: | 1861-8200, 1861-8219 |
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| Abstract | In this era of the information age with digitalization, the transmission of sensitive real-time image information over insecure channels is highly-likely to be accessed or even attacked by an adversary. To prevent such unauthorized access, cryptography is being used to convert sensitive information in real-time images into unintelligible data. Most of the time, schemes are proposed with a high level of security. However, the challenge always remains the slower speeds due to their high complexity which makes them unusable in the applications of real-time images. In this paper, an efficient image encryption algorithm has been developed and tested for real-time images. The proposed scheme makes use of encryption with an efficient permutation technique based on a modular logistic map to bring down the size of the chaotic value vector, required to permute real-time image. We show that an efficient permutation is obtained using only
N
chaotic numbers for a square image with 3
N
pixels (
N
Pixels in each color bit plane). The algorithm makes use of a 192-bit key; divided into smaller blocks and each block selected chaotically to diffuse the pixel using multiple XOR operations. The experimental analysis reveals that the proposed algorithm is immune to various statistical and differential attacks such as entropy, histogram analysis, spectral characteristic analysis, etc. A comparison of the proposed scheme with some state-of-the-art techniques show that it performs better, and as such, can be utilized for efficient real-time image encryption. |
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| AbstractList | In this era of the information age with digitalization, the transmission of sensitive real-time image information over insecure channels is highly-likely to be accessed or even attacked by an adversary. To prevent such unauthorized access, cryptography is being used to convert sensitive information in real-time images into unintelligible data. Most of the time, schemes are proposed with a high level of security. However, the challenge always remains the slower speeds due to their high complexity which makes them unusable in the applications of real-time images. In this paper, an efficient image encryption algorithm has been developed and tested for real-time images. The proposed scheme makes use of encryption with an efficient permutation technique based on a modular logistic map to bring down the size of the chaotic value vector, required to permute real-time image. We show that an efficient permutation is obtained using only
N
chaotic numbers for a square image with 3
N
pixels (
N
Pixels in each color bit plane). The algorithm makes use of a 192-bit key; divided into smaller blocks and each block selected chaotically to diffuse the pixel using multiple XOR operations. The experimental analysis reveals that the proposed algorithm is immune to various statistical and differential attacks such as entropy, histogram analysis, spectral characteristic analysis, etc. A comparison of the proposed scheme with some state-of-the-art techniques show that it performs better, and as such, can be utilized for efficient real-time image encryption. In this era of the information age with digitalization, the transmission of sensitive real-time image information over insecure channels is highly-likely to be accessed or even attacked by an adversary. To prevent such unauthorized access, cryptography is being used to convert sensitive information in real-time images into unintelligible data. Most of the time, schemes are proposed with a high level of security. However, the challenge always remains the slower speeds due to their high complexity which makes them unusable in the applications of real-time images. In this paper, an efficient image encryption algorithm has been developed and tested for real-time images. The proposed scheme makes use of encryption with an efficient permutation technique based on a modular logistic map to bring down the size of the chaotic value vector, required to permute real-time image. We show that an efficient permutation is obtained using only N chaotic numbers for a square image with 3N pixels (N Pixels in each color bit plane). The algorithm makes use of a 192-bit key; divided into smaller blocks and each block selected chaotically to diffuse the pixel using multiple XOR operations. The experimental analysis reveals that the proposed algorithm is immune to various statistical and differential attacks such as entropy, histogram analysis, spectral characteristic analysis, etc. A comparison of the proposed scheme with some state-of-the-art techniques show that it performs better, and as such, can be utilized for efficient real-time image encryption. |
| Author | Rashid, Mamoon Shah, Asif A. Parah, Shabir A. Elhoseny, Mohamed |
| Author_xml | – sequence: 1 givenname: Asif A. surname: Shah fullname: Shah, Asif A. organization: Department of Electronics and Instrumentation Technology, University of Kashmir – sequence: 2 givenname: Shabir A. surname: Parah fullname: Parah, Shabir A. email: shabireltr@gmail.com organization: Department of Electronics and Instrumentation Technology, University of Kashmir – sequence: 3 givenname: Mamoon surname: Rashid fullname: Rashid, Mamoon organization: School of Computer Science and Engineering, Lovely Professional University – sequence: 4 givenname: Mohamed surname: Elhoseny fullname: Elhoseny, Mohamed organization: Faculty of Computers and Information, Mansoura University |
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| Cites_doi | 10.1007/s11042-014-2115-y 10.1007/s11042-016-4253-x 10.1016/j.cnsns.2010.01.004 10.1007/978-3-319-44790-2_19 10.1109/TDSC.2017.2763593 10.1360/csb2006-51-12-1413 10.1007/s11045-015-0358-z 10.1016/j.optlaseng.2019.04.011 10.1016/j.dsp.2016.02.005 10.1007/s11042-016-4196-2 10.1016/S0303-2647(00)00083-6 10.3844/pisp.2011.31.35 10.1109/MCOM.1978.1089772 10.1016/j.aeue.2012.07.004 10.1109/TIT.1976.1055638 10.1504/IJSCCPS.2017.088770 10.1007/s11045-017-0490-z 10.1145/359340.359342 10.1007/s00530-013-0314-4 10.1016/j.dsp.2013.01.005 10.1016/j.imavis.2007.09.005 10.1016/S0030-4018(03)01261-6 10.1080/00207217.2014.954635 10.1080/00207217.2016.1242162 10.1093/acprof:oso/9780198507239.001.0001 10.1016/j.compeleceng.2013.11.006 10.1007/978-1-4419-5906-5_421 10.1109/ETNCC.2011.6255930 10.1007/978-3-642-04292-8_49 |
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| Keywords | Chaos Logistic map Encryption Image processing Real time Computational complexity |
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| SubjectTerms | Algorithms Computer Graphics Computer Science Cryptography Data encryption Digital signatures Digitization Image processing Image Processing and Computer Vision Literature reviews Multimedia Information Systems Pattern Recognition Permutations Pixels Prime numbers Real time Signal,Image and Speech Processing Special Issue Paper |
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