A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding
This paper presents a new combined neural network and chaos based pseudo-random sequence generator and a DNA-rules based chaotic encryption algorithm for secure transmission and storage of images. The proposed scheme uses a new heterogeneous chaotic neural network generator controlling the operation...
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| Veröffentlicht in: | Multimedia tools and applications 2018-10, Vol.77 (19), p.24701-24725 |
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| container_title | Multimedia tools and applications |
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| creator | Maddodi, Gururaj Awad, Abir Awad, Dounia Awad, Mirna Lee, Brian |
| description | This paper presents a new combined neural network and chaos based pseudo-random sequence generator and a DNA-rules based chaotic encryption algorithm for secure transmission and storage of images. The proposed scheme uses a new heterogeneous chaotic neural network generator controlling the operations of the encryption algorithm: pixel position permutation, DNA-based bit substitution and a new proposed DNA-based bit permutation method. The randomness of the generated chaotic sequence is improved by dynamically updating the control parameters as well as the number of iterations of the chaotic functions in the neural network. Several tests including auto correlation, 0/1 balance and NIST tests are performed to show high degree of randomness of the proposed chaotic generator. Experimental results such as pixel correlation coefficients, entropy, NPCR and UACI etc. as well as security analyses are given to demonstrate the security and efficiency of the proposed chaos based genetic encryption method. |
| doi_str_mv | 10.1007/s11042-018-5669-2 |
| format | Article |
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The proposed scheme uses a new heterogeneous chaotic neural network generator controlling the operations of the encryption algorithm: pixel position permutation, DNA-based bit substitution and a new proposed DNA-based bit permutation method. The randomness of the generated chaotic sequence is improved by dynamically updating the control parameters as well as the number of iterations of the chaotic functions in the neural network. Several tests including auto correlation, 0/1 balance and NIST tests are performed to show high degree of randomness of the proposed chaotic generator. Experimental results such as pixel correlation coefficients, entropy, NPCR and UACI etc. as well as security analyses are given to demonstrate the security and efficiency of the proposed chaos based genetic encryption method.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-018-5669-2</doi><tpages>25</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Computer Communication Networks Computer Science Correlation coefficients Data Structures and Information Theory Deoxyribonucleic acid DNA Encryption Image transmission Multimedia Information Systems Neural networks Permutations Pixels Randomness Security Special Purpose and Application-Based Systems |
| title | A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding |
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