Social networks have greatly expanded in the last ten years the need for sharing multimedia data. However, on open networks such as the Internet, where security is frequently compromised, it is simple for eavesdroppers to approach the actual contents without much difficulty. Researchers have created a variety of encryption methods to strengthen the security of this transmission and make it difficult for eavesdroppers to get genuine data. However, these conventional approaches increase computing costs and communication overhead and do not offer protection against fresh threats. The problems with current algorithms encourage academics to further investigate the subject and suggest new algorithms that are more effective than current methods, that reduce overhead, and which are equipped with features needed by next-generation multimedia networks. In this paper, a genetic operator-based encryption method for multimedia security is proposed. It has been noted that the proposed algorithm produces improved key strength results. The investigations using attacks on data loss, differential assaults, statistical attacks, and brute force attacks show that the encryption technique suggested has improved security performance. It focuses on two techniques, bitplane slicing and followed by block segmentation and scrambling. The suggested method first divides the plaintext picture into several blocks, which is then followed by block swapping done by the genetic operator used to combine the genetic information of two different images to generate new offspring. The key stream is produced from an iterative chaotic map with infinite collapse (ICMIC). Based on a close-loop modulation coupling (CMC) approach, a three-dimensional hyperchaotic ICMIC modulation map is proposed. By using a hybrid model of multidirectional circular permutation with this map, a brand-new colour image encryption algorithm is created. In this approach, a multidirectional circular permutation is used to disrupt the image's pixel placements, and genetic operations are used to replace the pixel values. According to simulation findings and security research, the technique can fend off brute-force, statistical, differential, known-plaintext, and chosen-plaintext assaults, and has a strong key sensitivity.

Department of Control Systems and Instrumentation Faculty of Mechanical Engineering VSB Technical University of Ostrava 17 Listopadu 2172 15 708 00 Ostrava Czech Republic

Department of Electronics and Communication Engineering Mount Zion College of Engineering and Technology Pudukottai 622 507 India

Department of R and D Bond Marine Consultancy London EC1V 2NX UK

Zobrazit více v PubMed

Abdullah A.H., Enayatifar R., Lee M. A hybrid genetic algorithm and chaotic function model for image encryption. Int. J. Electron. Commun. 2012;66:806–816. doi: 10.1016/j.aeue.2012.01.015. DOI

Patro K.A.K., Acharya B. Secure multi–level permutation operation based multiple colour image encryption. J. Inf. Secur. Appl. 2018;40:111–133. doi: 10.1016/j.jisa.2018.03.006. DOI

Hussein A.F., ArunKumar N., Ramirez-Gonzalez G., Abdulhay E., Tavares J.M.R.S., de Albuquerque V.H.C. A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform. Cogn. Syst. Res. 2018;52:1–11. doi: 10.1016/j.cogsys.2018.05.004. DOI

Miri A., Faez K. Adaptive image steganography based on transform domain via genetic algorithm. Optik. 2017;145:158–168. doi: 10.1016/j.ijleo.2017.07.043. DOI

Premkumar R., Anand S. Secured permutation and substitution based image encryption algorithm for medical security applications. J. Med. Imaging Health Inform. 2016;6:2012–2018. doi: 10.1166/jmihi.2016.1966. DOI

Choy S.K., Yuen K., Yu C. Fuzzy bit-plane-dependence image segmentation. Signal Process. 2019;154:30–44. doi: 10.1016/j.sigpro.2018.08.010. DOI

Yu C., Li J., Li X., Ren X., Gupta B.B. Four-image encryption scheme based on quaternion Fresnel transform, chaos and computer generated hologram. Multimed. Tools Appl. 2018;77:4585–4608. doi: 10.1007/s11042-017-4637-6. DOI

Nematzadeh H., Enayatifar R., Motameni H., Guimarães F.G., Coelho V.N. Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices. Opt. Lasers Eng. 2018;110:24–32. doi: 10.1016/j.optlaseng.2018.05.009. DOI

Kalita K., Mukhopadhyay T., Dey P., Haldar S. Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: The advantage of more elementary-level analyses. Neural Comput. Appl. 2020;32:7969–7993. doi: 10.1007/s00521-019-04280-z. DOI

Kalita K., Shivakoti I., Ghadai R.K. Optimizing process parameters for laser beam micro-marking using genetic algorithm and particle swarm optimization. Mater. Manuf. Process. 2017;32:1101–1108. doi: 10.1080/10426914.2017.1303156. DOI

Ghadai R.K., Kalita K., Mondal S.C., Swain B.P. Genetically optimized diamond-like carbon thin film coatings. Mater. Manuf. Process. 2019;34:1476–1487. doi: 10.1080/10426914.2019.1594273. DOI

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

Wang M., Wang X., Zhang Y., Gao Z. A novel chaotic encryption scheme based on image segmentation and multiple diffusion models. Opt. Laser Technol. 2018;108:558–573. doi: 10.1016/j.optlastec.2018.07.052. DOI

Singh R.K., Kumar B., Shaw D.K., Khan D.A. Level by level image compression-encryption algorithm based on quantum chaos map. J. King Saud Univ-Comput. Inf. Sci. 2021;33:844–851. doi: 10.1016/j.jksuci.2018.05.012. DOI

Ramadan N., Ahmed H.H., El-khamy S.E., Abd El-Samie F.E. Permutation-substitution image encryption scheme based on a modified chaotic map in transform domain. J. Cent. S. Univ. 2017;24:2049–2057. doi: 10.1007/s11771-017-3614-6. DOI

Enayatifar R., Abdullah A.H., Isnin I.F. Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence. Opt. Lasers Eng. 2014;56:83–93. doi: 10.1016/j.optlaseng.2013.12.003. DOI

Abd-El-Hafiz S.K., AbdElHaleem S.H., Radwan A.G. Novel permutation measures for image encryption algorithms. Opt. Lasers Eng. 2016;85:72–83. doi: 10.1016/j.optlaseng.2016.04.023. DOI

Som S., Mitra A., Palit S., Chaudhuri B.B. A Selective Bitplane Image Encryption Scheme Using Chaotic Maps. Multimed. Tools Appl. 2019;78:10373–10400. doi: 10.1007/s11042-018-6539-7. DOI

Chai X., Gan Z., Zhang M. A fast chaos-based image encryption scheme with a novel plain image-related swapping block permutation and block diffusion. Multimed. Tools Appl. 2017;76:15561–15585. doi: 10.1007/s11042-016-3858-4. DOI

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

Lin Y., Wu L. Improved Abrasive Image Segmentation Method Based on Bit-plane And Morphological reconstruction. Multimed. Tools Appl. 2019;78:29197–29210. doi: 10.1007/s11042-018-6687-9. DOI

Wang Y., Wong K.-W., Li C., Li Y. A novel method to design S-box based on chaotic map and genetic algorithm. Phys. Lett. A. 2012;376:827–833. doi: 10.1016/j.physleta.2012.01.009. DOI

Zhang Y., Tang Y. A plaintext-related image encryption algorithm based on chaos. Multimed. Tools Appl. 2018;77:6647–6669. doi: 10.1007/s11042-017-4577-1. DOI

Chen H., Miao F., Chen Y., Xiong Y., Chen T. A hyperspectral image classification method using multifeature vectors and optimized KELM. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2021;14:2781–2795. doi: 10.1109/JSTARS.2021.3059451. DOI

Yin L., Hong P., Zheng G., Chen H., Deng W. A Novel Image Recognition Method Based on DenseNet and DPRN. Appl. Sci. 2022;12:4232. doi: 10.3390/app12094232. DOI

Yao R., Guo C., Deng W., Zhao H. A novel mathematical morphology spectrum entropy based on scale-adaptive techniques. ISA Trans. 2022;126:691–702. doi: 10.1016/j.isatra.2021.07.017. PubMed DOI

Deng W., Yao R., Zhao H., Yang X., Li G. A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm. Soft Comput. 2019;23:2445–2462. doi: 10.1007/s00500-017-2940-9. DOI

Wu D., Wu C. TDGVRPSTW of fresh agricultural products distribution: Considering both economic cost and environmental cost. Appl. Sci. 2021;11:10579. doi: 10.3390/app112210579. DOI

Wu D., Wu C. Research on the Time-Dependent Split Delivery Green Vehicle Routing Problem for Fresh Agricultural Products with Multiple Time Windows. Agriculture. 2022;12:793. doi: 10.3390/agriculture12060793. DOI

Arthi G., Thanikaiselvan V., Amirtharajan R. 4D Hyperchaotic map and DNA encoding combined image encryption for secure communication. Multimed. Tools Appl. 2022;81:15859–15878. doi: 10.1007/s11042-022-12598-5. DOI

Kapinesh G., Sachin Kumaran K., Gayatri K., Mohan T., Thanikaiselvan V., Subashanthini S., Amirtharajan R. New Image Encryption Method using Multiple Chaotic Map Computation and Irregular Diffusion Process. J. Uncertain Syst. 2022;15:2241008. doi: 10.1142/S1752890922410082. DOI

De Dieu N.J., Ruben F.S.V., Nestor T., Zeric N.T., Jacques K. Dynamic analysis of a novel chaotic system with no linear terms and use for DNA-based image encryption. Multimed. Tools Appl. 2022;81:10907–10934. doi: 10.1007/s11042-022-12044-6. DOI

Ramadoss J., Kengne J., Telem A.N.K., Tsafack N., Rajagopal K. Chaos in a novel Wien bridge-based RC chaotic oscillator: Dynamic analysis with application to image encryption. Analog Integr. Circuits Signal Process. 2022;112:495–516. doi: 10.1007/s10470-022-02061-8. DOI

Nestor T., Belazi A., Abd-El-Atty B., Aslam M.N., Volos C., De Dieu N.J., Abd El-Latif A.A. A new 4D hyperchaotic system with dynamics analysis, synchronization, and application to image encryption. Symmetry. 2022;14:424. doi: 10.3390/sym14020424. DOI

Romero F.J., Ohata A., Toral-Lopez A., Godoy A., Morales D.P., Rodriguez N. Memcapacitor and meminductor circuit emulators: A review. Electronics. 2021;10:1225. doi: 10.3390/electronics10111225. DOI

Romero F.J., Toral-Lopez A., Ohata A., Morales D.P., Ruiz F.G., Godoy A., Rodriguez N. Laser-Fabricated reduced graphene oxide memristors. Nanomaterials. 2019;9:897. doi: 10.3390/nano9060897. PubMed DOI PMC

Hao J., Mou J., Xiong L., Zhang Y., Gao X., Sha Y. A novel color image encryption algorithm based on the fractional order laser chaotic system and the DNA mutation principle. Multimed. Tools Appl. 2022;81:559–587. doi: 10.1007/s11042-021-11431-9. DOI

Ramakrishnan B., Tamba V.K., Natiq H., Tsafack A.S.K., Karthikeyan A. Dynamical analysis of autonomous Josephson junction jerk oscillator with cosine interference term embedded in FPGA and investigation of its collective behavior in a network. Eur. Phys. J. B. 2022;95:145. doi: 10.1140/epjb/s10051-022-00398-7. DOI

Qiu H., Xu X., Jiang Z., Sun K., Xiao C. A color image encryption algorithm based on hyperchaotic map and Rubik’s Cube scrambling. Nonlinear Dyn. 2022:1–19. doi: 10.1007/s11071-022-07756-1. DOI

Shang F., Sun K., Cai Y. An efficient MPEG video encryption scheme based on chaotic cipher; Proceedings of the 2008 Congress on Image and Signal Processing; Sanya, China. 27–30 May 2008; pp. 12–16.

Folifack Signing V.R., Fozin Fonzin T., Kountchou M., Kengne J., Njitacke Z.T. Chaotic jerk system with hump structure for text and image encryption using DNA coding. Circuits Syst. Signal Process. 2021;40:4370–4406. doi: 10.1007/s00034-021-01665-1. DOI

Liu P., Zhang T., Li X. A new color image encryption algorithm based on DNA and spatial chaotic map. Multimed. Tools Appl. 2019;78:14823–14835. doi: 10.1007/s11042-018-6758-y. DOI

Ravichandran D., Banu S.A., Murthy B.K., Balasubramanian V., Fathima S., Amirtharajan R. An efficient medical image encryption using hybrid DNA computing and chaos in transform domain. Med. Biol. Eng. Comput. 2021;59:589–605. doi: 10.1007/s11517-021-02328-8. PubMed DOI

Yaghouti Niyat A., Moattar M.H. Color image encryption based on hybrid chaotic system and DNA sequences. Multimed. Tools Appl. 2020;79:1497–1518. doi: 10.1007/s11042-019-08247-z. DOI

Lone P.N., Mir U.H. Image encryption using DNA coding and three-dimensional chaotic systems. Multimed. Tools Appl. 2022;81:5669–5693. doi: 10.1007/s11042-021-11802-2. DOI

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

Zhou Y., Cao W., Philip Chen C.L. Image encryption using binary bitplane. Signal Process. 2014;100:197–207. doi: 10.1016/j.sigpro.2014.01.020. DOI

Enayatifar R., Abdullah A.H., Isnin I.F., Altameem A., Lee M. Image encryption using a synchronous permutation-diffusion technique. Opt. Lasers Eng. 2017;90:146–154. doi: 10.1016/j.optlaseng.2016.10.006. DOI