nach oben

Soft Computing

Erschienen in:

09.01.2022 | Application of soft computing

An image encryption scheme based on particle swarm optimization algorithm and hyperchaotic system

verfasst von: Yuling Luo, Xue Ouyang, Junxiu Liu, Lvchen Cao, Yanli Zou

Erschienen in: Soft Computing | Ausgabe 11/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Protecting digital images is crucial, and image encryption schemes based on chaotic systems have been extensively studied where image permutation is a critical process. The updating processes of particle swarm optimization algorithm have the ability to change the rules of particles motion, and it can be employed to permutate image. In this work, an image encryption scheme based on the updating processes of particle swarm optimization algorithm and hyperchaotic system is proposed. Specifically, a key generation mechanism combined with secure hash algorithm 256 hash is first introduced to generate the initial values of hyperchaotic complex Lü system. Then, the plain image is confused by the position and velocity updating processes of particle swarm optimization algorithm. In addition, an adaptive diffusion mechanism is designed and applied to the confused image to obtain the final cipher image. Simulation results and security analysis show that the proposed scheme exhibits good performance of sophisticated dynamic behavior, high sensitivity to key, and effectively resisting the typical cryptanalysis attacks, and provides an alternative to real-time image encryption application.

Vorheriger Artikel Automatic identification of drug sensitivity of cancer cell with novel regression-based ensemble convolution neural network model

Nächster Artikel Reinforced modified equilibrium optimization technique-based MS-PID frequency regulator for a hybrid power system with renewable energy sources

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Adrian-Viorel D (2016) Circular inter-intra pixels bit-level permutation and chaos-based image encryption. Inf Sci 355:314–327. https://doi.org/10.1016/j.ins.2015.10.027CrossRef

Ahmad M, Zaiyan M, Ansari S, Lambi D et al (2018) Cryptanalysis of an image encryption algorithm based on PWLCM and inertial delayed neural network. J Intell Fuzzy Syst 34:1323–1332. https://doi.org/10.3233/JIFS-169428CrossRef

Asgari-Chenaghlu M, Balafar M-A, Feizi-Derakhshi M-R (2019) A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation. Signal Process 157:1–13. https://doi.org/10.1016/j.sigpro.2018.11.010CrossRef

Çavuşoğlu Ü, Kaçar S, Pehlivan I, Zengin A (2017) Secure image encryption algorithm design using a novel chaos based S-box. Chaos Solitons Fractals 95:92–101. https://doi.org/10.1016/j.chaos.2016.12.018CrossRefMATH

Chai X, Gan Z, Yang K, Chen Y, Liu X (2017) An image encryption algorithm based on the memristive hyperchaotic system, cellular automata and dna sequence operations. Signal Process Image Commun 52:6–19. https://doi.org/10.1016/j.image.2016.12.007CrossRef

Chai X, Yang K, Gan Z (2017) A new chaos-based image encryption algorithm with dynamic key selection mechanisms. Multimed Tools Appl 76:9907–9927. https://doi.org/10.1007/s11042-016-3585-xCrossRef

Chai X, Chen Y, Broyde L (2017) A novel chaos-based image encryption algorithm using DNA sequence operations. Opt Lasers Eng 88:197–213. https://doi.org/10.1016/j.optlaseng.2016.08.009CrossRef

Chai X, Fu X, Gan Z, Lu Y, Chen Y (2019) A color image cryptosystem based on dynamic dna encryption and chaos. Signal Process 155:44–62. https://doi.org/10.1016/j.sigpro.2018.09.029CrossRef

Chen J, Zhu Z, Fu C, Yu H, Zhang Y (2015) Reusing the permutation matrix dynamically for efficient image cryptographic algorithm. Signal Process 111:294–307. https://doi.org/10.1016/j.sigpro.2015.01.003CrossRef

Chen J, Zhu Z, Fu C, Zhang L, Zhang Y (2015) An efficient image encryption scheme using lookup table-based confusion and diffusion. Nonlinear Dyn 81:1151–1166. https://doi.org/10.1007/s11071-015-2057-6CrossRef

Chen J, Zhu Z, Zhang L, Zhang Y, Yang B (2018) Exploiting self-adaptive permutation-diffusion and dna random encoding for secure and efficient image encryption. Signal Process 142:340–353. https://doi.org/10.1016/j.sigpro.2017.07.034CrossRef

Diab H (2018) An efficient chaotic image cryptosystem based on simultaneous permutation and diffusion operations. IEEE Access 6:42227–42244. https://doi.org/10.1109/ACCESS.2018.2858839CrossRef

Dridi M, Hajjaji M, Bouallegue B, Mtibaa A (2016) Cryptography of medical images based on a combination between chaotic and neural network. IET Image Process 10:830–839. https://doi.org/10.1049/iet-ipr.2015.0868CrossRef

Enayatifar R, Guimar\(\tilde{a}\)es FG, Siarry P, (2019) Index-based permutation-diffusion in multiple-image encryption using dna sequence. Optics Lasers Eng 115:131–140. https://doi.org/10.1016/j.optlaseng.2018.11.017

Hua Z, Zhou Y (2017) Design of image cipher using block-based scrambling and image filtering. Inf Sci 396:97–113. https://doi.org/10.1016/j.ins.2017.02.036CrossRefMATH

Hua Z, Yi S, Zhou Y (2018) Medical image encryption using high-speed scrambling and pixel adaptive diffusion. Signal Process 144:134–144. https://doi.org/10.1016/j.sigpro.2017.10.004CrossRef

Hua Z, Jin F, Xu B, Huang H (2018) 2D Logistic-Sine-coupling map for image encryption. Signal Process 149:148–161. https://doi.org/10.1016/j.sigpro.2018.03.010CrossRef

Hua Z, Zhou Y, Huang H (2019) Cosine-transform-based chaotic system for image encryption. Inf Sci 480:403–419. https://doi.org/10.1016/j.optlaseng.2016.08.009CrossRef

Jang W, Kang H, Lee B, Kim K, Shin D, Kim SC (2007) Optimized fuzzy clustering by predator prey paericle swarm optimization. IEEE Congr Evolut Comput. https://doi.org/10.1109/cec.2007.4424886CrossRef

Lakshmanan S, Prakash M, Lim C, Rakkiyappan R (2018) Synchronization of an inertial neural network with time-varying delays and its application to secure communication. IEEE Trans Neural Netw Learn Syst 29:195–207. https://doi.org/10.1109/CEC.2001.934377MathSciNetCrossRef

Lambić D (2017) Cryptanalyzing a novel pseudorandom number generator based on pseudorandomly enhanced logistic map. Nonlinear Dyn 89:2255–2257. https://doi.org/10.1007/s11071-017-3583-1MathSciNetCrossRef

Li M, Xu M, Luo J, Fan H (2019) Cryptanalysis of an image encryption using 2d hénon-sine map and dna approach. IEEE Access 7:63336–63345. https://doi.org/10.1109/ACCESS.2019.2916402CrossRef

Liu D, Zhang W, Yu H, Zhu Z (2018) An image encryption scheme using self-adaptive selective permutation and inter-intra-block feedback diffusion. Signal Process 151:130–143. https://doi.org/10.1016/j.sigpro.2018.05.008CrossRef

Luo Y, Du M (2013) A self-adapting image encryption algorithm based on spatiotemporal chaos and ergodic matrix. Chin Phys B 22:1–9. https://doi.org/10.1088/1674-1056/22/8/080503CrossRef

Luo Y, Du M, Liu J (2015) A symmetrical image encryption scheme in wavelet and time domain. Commun Nonlinear Sci Numer Simul 20:447–460. https://doi.org/10.1016/j.cnsns.2014.05.022CrossRef

Luo Y, Tang S, Qin X, Cao L, Jiang F, Liu J (2018) A double-image encryption scheme based on amplitude-phase encoding and discrete complex random transformation. IEEE Access 6:77740–77753. https://doi.org/10.1109/ACCESS.2018.2884013CrossRef

Luo Y, Ouyang X, Liu J, Cao L (2019) A colour image encryption using genetic operators and generalized henon chaotic mapping. In: 21st IEEE International conference on high performance computing and communications (HPCC) pp. 1720–1725

Luo Y, Zhou R, Liu J, Qiu S, Cao Y (2017) A novel image encryption scheme based on Kepler’s third law and random Hadamard transform. Chin Phys B 26:1–14. https://doi.org/10.1088/1674-1056/26/12/120504

Mahmoud G, Mahmoud E, Ahmed M (2009) On the hyperchaotic complex Lü system. Nonlinear Dyn 58:725–738. https://doi.org/10.1007/s11071-009-9513-0MathSciNetCrossRefMATH

Mahmoud GM, Mahmoud EE, Arafa AA (2015) On modified time delay hyperchaotic complex Lü system. Nonlinear Dyn 80:855–869. https://doi.org/10.1007/s11071-015-1912-9MathSciNetCrossRefMATH

Norouzi B, Mirzakuchaki S (2014) A fast color image encryption algorithm based on hyper-chaotic systems. Nonlinear Dyn 78:995–1015. https://doi.org/10.1007/s00530-013-0314-4CrossRef

Norouzi B, Seyedzadeh S, Mirzakuchaki S, Mosavi M (2014) A novel image encryption based on hash function with only two-round diffusion process. Multimed Syst 20:45–64. https://doi.org/10.1007/s00530-013-0314-4CrossRefMATH

Noshadian S, Ebrahimzade SJ (2018) Kazemitabar, Optimizing chaos based image encryption. Multimed Tools Appl 77:25569–25590. https://doi.org/10.1007/s11042-018-5807-xCrossRef

Ouyang X, Luo Y, Liu J, Cao L, Liu Y (2020) A color image encryption method based on memristive hyperchaotic system and DNA encryption. Int J Modern Phys B 34:1–29. https://doi.org/10.1142/S0217979220500149MathSciNetCrossRef

Ouyang X, Luo Y, Liu J, Liu Y, Bi J, Qiu S (2018) Period analysis of chaotic systems under finite precisions. In: international conference on systems engineering (ICSEng) pp. 1–5

Pak C, Huang L (2017) A new color image encryption using combination of the 1d chaotic map. Signal Process 138:129–137. https://doi.org/10.1016/j.sigpro.2017.03.011CrossRef

Pan X, Xue L, Lu Y, Sun N (2019) Hybrid particle swarm optimization with simulated annealing. Multimed Tools Appl 78:29921–29936. https://doi.org/10.1007/s11042-018-6602-4CrossRef

Rukhin A, Soto J, Nechvatal J (2010) A statistical test suite for random and pseudorandom number generators for cryptographic applications, Nist Special Publication pp. 1–131

Saravanan S, Sivabalakrishnan M (2021) A hybrid chaotic map with coefficient improved whale optimizationbased parameter tuning for enhanced image encryption. Soft Comput 25:5299–5322. https://doi.org/10.1007/s00500-020-05528-wCrossRef

Shahna KU, Mohamed A (2020) A novel image encryption scheme using both pixel level and bit level permutation with chaotic map. Appl Soft Comput 90:1–17. https://doi.org/10.1016/j.asoc.2020.106162

Shreef MA, Hoomod HK (2013) Image encryption using lagrange-least squares interpolation. Int J Adv Comput Sci Inf Technol 2:35–55

Toughi S, Fathi MH, Sekhavat YA (2017) An image encryption scheme based on elliptic curve pseudo random and advanced encryption system. Signal Process 141:217–227. https://doi.org/10.1016/j.sigpro.2017.06.010CrossRef

Wang X, Xu D (2014) A novel image encryption scheme based on Brownian motion and PWLCM chaotic system. Nonlinear Dyn 75:345–353. https://doi.org/10.1007/s11071-013-1070-xCrossRef

Wang X, Teng L, Qin X (2012) A novel colour image encryption algorithm based on chaos. Signal Process 92:1101–1108. https://doi.org/10.1016/j.sigpro.2011.10.023CrossRef

Wang X, Zhang D, Wei N (2015) Fractal image coding algorithm using particle swarm optimisation and hybrid quadtree partition scheme. IET Image Process 9:153–161. https://doi.org/10.1049/iet-ipr.2014.0001CrossRef

Wang X, Gu S, Zhang Y (2015) Novel image encryption algorithm based on cycle shift and chaotic system. Opt Lasers Eng 68:126–134. https://doi.org/10.1016/j.optlaseng.2014.12.025CrossRef

Wang X, Wang S, Zhang Y, Luo C (2018) A one-time pad color image cryptosystem based on sha-3 and multiple chaotic systems. Optics Lasers Eng 103:1–8. https://doi.org/10.1016/j.optlaseng.2017.11.009CrossRef

Wang X, Wang Y, Wang S, Zhang Y, Wu X (2018) A novel pseudo-random coupled LP spatiotemporal chaos and its application in image encryption. Chin Phys B 27:1–11. https://doi.org/10.1088/1674-1056/27/11/110502CrossRef

Wang H, Xiao D, Chen X, Huang H (2018) Cryptanalysis and enhancements of image encryption using combination of the 1d chaotic map. Signal Process 144:444–452. https://doi.org/10.1016/j.sigpro.2017.11.005CrossRef

Wu Y, Zhou Y, Saveriades G, Agaian S, Noonan JP, Natarajan P (2013) Local shannon entropy measure with statistical tests for image randomness. Inf Sci 222:323–342. https://doi.org/10.1016/j.ins.2012.07.049MathSciNetCrossRefMATH

Wu J, Liao X, Yang B (2018) Image encryption using 2d hénon-sine map and dna approach. Signal Process 153:11–23. https://doi.org/10.1016/j.sigpro.2018.06.008CrossRef

Wu J, Liao X, Yang B (2018) Cryptanalysis and enhancements of image encryption based on three-dimensional bit matrix permutation. Signal Process 142:292–300. https://doi.org/10.1016/j.sigpro.2017.06.014CrossRef

Xu L, Li Z, Li J, Hua W (2016) A novel bit-level image encryption algorithm based on chaotic maps. Opt Lasers Eng 78:17–25. https://doi.org/10.1016/j.optlaseng.2015.09.007CrossRef

Yang Y, Pan Q, Sun S, Xu P (2015) Novel image encryption based on quantum walks. Sci Rep 5:7784. https://doi.org/10.1038/srep07784CrossRef

Ye G, Huang X, Zhang L, Wang Z (2017) A self-cited pixel summation based image encryption algorithm. Chin Phys B 26:1–8. https://doi.org/10.1088/1674-1056/26/1/010501CrossRef

Yuan H, Liu Y, Gong L, Wang J (2017) A new image cryptosystem based on 2D hyper-chaotic system. Multimed Tools Appl 76:8087–8108. https://doi.org/10.1007/s11042-016-3454-7CrossRef

Zeng J, Wang C (2021) A novel hyperchaotic image encryption system based on particle swarm optimization algorithm and cellular automata. Sec Commun Netw 2021:1–15. https://doi.org/10.1155/2021/6675565CrossRef

Zhang Y, Wang X (2015) A new image encryption algorithm based on non-adjacent coupled map lattices. Appl Soft Comput 26:10–20. https://doi.org/10.1016/j.asoc.2014.09.039CrossRef

Zhou N, Chen W, Yan X, Wang Y (2018) Bit-level quantum color image encryption scheme with quantum cross-exchange operation and hyper-chaotic system. Quantum Inf Process 17:137. https://doi.org/10.1007/s11128-018-1902-1MathSciNetCrossRefMATH

Zhu C (2012) A novel image encryption scheme based on improved hyperchaotic sequences. Opt Commun 285:29–37. https://doi.org/10.1016/j.optcom.2011.08.079CrossRef

Zhu C, Sun K (2018) Cryptanalyzing and improving a novel color image encryption algorithm using RT-enhanced chaotic tent maps. IEEE Access 6:18759–18770. https://doi.org/10.1109/ACCESS.2018.2817600CrossRef

Zhu C, Wang G, Sun K (2018) Cryptanalysis and improvement on an image encryption algorithm design using a novel chaos based S-box. Symmetry 10:399. https://doi.org/10.3390/sym10090399CrossRef

Titel: An image encryption scheme based on particle swarm optimization algorithm and hyperchaotic system
verfasst von: Yuling Luo
Xue Ouyang
Junxiu Liu
Lvchen Cao
Yanli Zou
Publikationsdatum: 09.01.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 11/2022
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-021-06554-y

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 11/2022

Prediction of groundwater fluctuation based on hybrid ANFIS-GWO approach in arid Watershed, India

Robust-LSTM: a novel approach to short-traffic flow prediction based on signal decomposition

Automatic identification of drug sensitivity of cancer cell with novel regression-based ensemble convolution neural network model

A necessary and sufficient condition for the stability of interval difference equation via interval Lyapunov equation

A generalized collision algorithm for geometric graphics

Optimal siting and sizing of hybrid PV and wind energy distribution network

Premium Partner