An efficient hybrid chaotic map-based encryption technique for multiple image security systems
*Mohanad J. JaberCorresponding authormohanad.altalqani@uokufa.edu.iqDepartment of Basic ScienceCollege of DentistryKufa UniversityNajaf, IraqView full profile → , Zahraa Jasim Jaberzahraaj.altalakany@uokufa.edu.iqDepartment of Computer ScienceFaculty of Computer Science and MathematicsKufa UniversityNajaf, IraqView full profile → , Ahmed J. Obaidahmedj.aljanaby@uokufa.edu.iqDepartment of Computer ScienceFaculty of Computer Science and MathematicsKufa UniversityNajaf, IraqView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 16 Nov 2023
- Published Online:
- 26 Aug 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1934
- Pages:
- 1507–1522
Abstract
Keywords
Subject Classifications
References
[1] P. Rani, P. N. Singh, S. Verma, N. Ali, P. K. Shukla, and M. Alhassan, “An implementation of modified blowfish technique with honey bee behavior optimization for load balancing in cloud system environment,” Wirel. Commun. Mob. Comput., vol. 2022, pp. 1–14 (2022).
[2] J. Fridrich, “Symmetric ciphers based on two-dimensional chaotic maps,” Int. J. Bifurc. Chaos, vol. 8, no. 06, pp. 1259–1284 (1998).
[3] P. Rani, S. Verma, S. P. Yadav, B. K. Rai, M. S. Naruka, and D. Kumar, “Simulation of the Lightweight Blockchain Technique Based on Privacy and Security for Healthcare Data for the Cloud System,” Int. J. E-Health Med. Commun. IJEHMC, vol. 13, no. 4, pp. 1–15 (2022).
[4] S. P. Yadav, M. Jindal, P. Rani, V. H. C. De Albuquerque, C. Dos Santos Nascimento, and M. Kumar, “An improved deep learning-based optimal object detection system from images,” Multimed. Tools Appl., Sep. (2023), doi: 10.1007/s11042-023-16736-5.
[5] M. Salleh, S. Ibrahim, and I. F. Isnin, Ciphering key of chaos image encryption. Universiti Teknologi Malaysia (2002).
[6] G. Jakimoski and L. Kocarev, “Chaos and cryptography: block encryption ciphers based on chaotic maps,” Ieee Trans. Circuits Syst. Fundam. Theory Appl., vol. 48, no. 2, pp. 163–169 (2001).
[7] T. Habutsu, Y. Nishio, I. Sasase, and S. Mori, “A secret key cryptosystem by iterating a chaotic map,” in Advances in Cryptology—EUROCRYPT’91: Workshop on the Theory and Application of Cryptographic Techniques Brighton, UK, April 8–11, 1991 Proceedings 10, Springer, pp. 127–140 (1991).
[8] Z. Kotulski and J. Szczepański, “Discrete chaotic cryptography,” Ann. Phys., vol. 509, no. 5, pp. 381–394 (1997).
[9] B. Fraser, P. Yu, and T. Lookman, “Secure communications using chaos synchronization,” Phys Can. Spec. Issue Non-Linear Dynam, vol. 57, no. 2, pp. 155–61 92001).
[10] J. Scharinger, “Secure and fast encryption using chaotic Kolmogorov flows,” in 1998 Information Theory Workshop (Cat. No. 98EX131), IEEE, pp. 124–125 (1998).
[11] M. Svensson and J.-E. Malmquist, “A simple secure communications system utilizing chaotic functions to control the encryption and decryption of messages,” Proj. Rep. Course ‘Chaosinscienceandtechnology’ Lund Inst. Technol. Dept Phys. Sub-Dept Math. Phys., (1996).
[12] K. L. Shore, “Infrastructure for Chaotic Optical Data Encryption,” EPSRC Proj. GRK78799 (2000).
[13] M. Salleh, S. Ibrahim, and I. F. Isnin, “Image encryption algorithm based on chaotic mapping,” J. Teknol., vol. 39, no. D, pp. 1–12 (2003).
[14] M. I. Sobhy and A.-E. Shehata, “Chaotic algorithms for data encryption,” in 2001 IEEE international conference on acoustics, speech, and signal processing. Proceedings (Cat. No. 01CH37221), IEEE, pp. 997–1000 (2001).
[15] S. Li, X. Zheng, X. Mou, and Y. Cai, “Chaotic encryption scheme for real-time digital video,” in Real-Time Imaging VI, SPIE, pp. 149–160 (2002).
[16] N. Hussain and P. Rani, “Comparative studied based on attack resilient and efficient protocol with intrusion detection system based on deep neural network for vehicular system security,” in Distributed Artificial Intelligence, CRC Press, pp. 217–236 (2020). Accessed: Oct. 19, 2023. [Online].Available: https://www.taylorfrancis.com/chapters/edit/10.1201/9781003038467-13/comparative-studied-based-attack-resilient-efficient-protocol-intrusion-detection-system-based-deep-neural-network-vehicular-system-security-naziya-hussain-preeti-rani.
[17] J.-C. Yen and J.-I. Guo, “A new chaotic mirror-like image encryption algorithm and its VLSI architecture,” Pattern Recognit. Image Anal. Adv. Math. Theory Appl., vol. 10, no. 2, pp. 236–247 (2000).
[18] N. Hussain, P. Rani, H. Chouhan, and U. S. Gaur, “Cyber Security and Privacy of Connected and Automated Vehicles (CAVs)-Based Federated Learning: Challenges, Opportunities, and Open Issues,” in Federated Learning for IoT Applications, S. P. Yadav, B. S. Bhati, D. P. Mahato, and S. Kumar, Eds., in EAI/Springer Innovations in Communication and Computing. , Cham: Springer International Publishing, pp. 169–183 (2022). doi: 10.1007/978-3-030-85559-8_11.
[19] S. Li, X. Mou, and Y. Cai, “Improving security of a chaotic encryption approach,” Phys. Lett. A, vol. 290, no. 3–4, pp. 127–133 (2001).
[20] J. Fridrich, “Image encryption based on chaotic maps,” in 1997 IEEE international conference on systems, man, and cybernetics. Computational cybernetics and simulation, IEEE, pp. 1105–1110 (1997).
[21] A. Kovalchuk, I. Izonin, M. Gregush Ml., and N. Kustra, “Information Protection Service using Topological Image Coverage,” Procedia Comput. Sci., vol. 160, pp. 503–508 (2019), doi: 10.1016/j.procs.2019.11.057.
[22] S. Verma et al., “An automated face mask detection system using transfer learning based neural network to preventing viral infection,” Expert Syst., p. e13507, Nov. (2023), doi: 10.1111/exsy.13507.
[23] A. Kovalchuk, N. Lotoshynska, M. G. Ml., I. Izonin, and L. Berezko, “An Approach towards an Efficient Encryption-Decryption of Grayscale and Color Images,” Procedia Comput. Sci., vol. 155, pp. 630–635 (2019), doi: 10.1016/j.procs.2019.08.089.
[24] A. Kovalchuk, I. Izonin, M. Gregush Ml., and N. Lotoshynska, “An Approach Towards Image Encryption and Decryption using Quaternary Fractional-Linear Operations,” Procedia Comput. Sci., vol. 160, pp. 491–496 (2019), doi: 10.1016/j.procs.2019.11.059.
[25] A. Kovalchuk, I. Izonin, C. Strauss, M. Podavalkina, N. Lotoshynska, and N. Kustra, “Image Encryption and Decryption Schemes Using Linear and Quadratic Fractal Algorithms and Their Systems.,” in DCSMart, pp. 139–150 (2019).
[26] A. Kovalchuk, I. Izonin, M. Gregush Ml., and O. Riznyk, “An Efficient Image Encryption Scheme using Projective Transformations,” Procedia Comput. Sci., vol. 160, pp. 584–589 (2019), doi: 10.1016/j.procs.2019.11.043.
[27] A. Kovalchuk and N. Lotoshynska, “Elements of RSA algorithm and extra noising in a binary linear-quadratic transformations during encryption and decryption of images,” in 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), IEEE, pp. 542–544 (2018).
[28] A. Hafsa, M. Gafsi, J. Malek, and M. Machhout, “FPGA implementation of improved security approach for medical image encryption and decryption,” Sci. Program., vol. 2021, pp. 1–20 (2021).
[29] P. Rani et al., “Federated Learning-Based Misbehaviour Detection for the 5G-Enabled Internet of Vehicles,” IEEE Trans. Consum. Electron., pp. 1–1 (2023), doi: 10.1109/TCE.2023.3328020.
[30] A. Pourjabbar Kari, A. Habibizad Navin, A. M. Bidgoli, and M. Mirnia, “A new image encryption scheme based on hybrid chaotic maps,” Multimed. Tools Appl., vol. 80, no. 2, pp. 2753–2772, Jan. (2021), doi: 10.1007/s11042-020-09648-1.
[31] Azmi Shawkat Abdulbaqi, Ahmed J. Obaid & Maysaa Hameed Abdulameer. Smartphone-based E.C.G. signals encryption for transmission and analyzing via IoMTs, Journal of Discrete Mathematical Sciences and Cryptography (2021), DOI: 10.1080/09720529.2021.1958996.
