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  3. Vol. 11, No. 4, November 2026 (Article in Progress)
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Vol. 11, No. 4, November 2026 (Article in Progress)

Issue Published : Sep 1, 2026
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Robust Video Encryption using Multi-Chaotic Map Cascade to Mitigate Statistical and Differential Attacks

https://doi.org/10.22219/kinetik.v11i4.2738
Heru Lestiawan
Universitas Dian Nuswantoro
Cahaya Jatmoko
Universitas Dian Nuswantoro
Wellia Shinta Sari
Universitas Dian Nuswantoro
Mohamed Doheir
Universiti Teknikal Malaysia Melaka

Corresponding Author(s) : Heru Lestiawan

heru.lestiawan@dsn.dinus.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 11, No. 4, November 2026 (Article in Progress)
Article Published : Oct 5, 2026

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Abstract

The rapid proliferation of digital video transmission has necessitated robust security mechanisms to safeguard sensitive visual content against unauthorized access and interception. Conventional cryptographic algorithms, however, often struggle with the efficiency demands of high-volume video data. This study established and validated a lightweight yet highly secure video encryption scheme utilizing a Multi-Chaotic Map Cascade architecture. The proposed approach integrated the SHA-256 hash function for dynamic key generation with a hybrid hyperchaotic system comprising Henon, Lorenz, and Tent maps. This configuration facilitated a rigorous encryption process involving pixel coordinate permutation and bidirectional value diffusion. Comprehensive experimental evaluations were conducted on standard video sequences ranging from QCIF to Full HD resolutions to assess consistency and scalability. The results demonstrated that the algorithm achieved near-perfect randomness, with an average information entropy of 7.9988 bits and a Number of Pixels Change Rate of 100 percent, effectively satisfying the strict avalanche criterion. Furthermore, histogram analysis confirmed a statistically uniform distribution validated by Chi-Square tests. The scheme also exhibited strong resistance against visual reconstruction, maintaining Peak Signal-to-Noise Ratio values below 10 dB for encrypted content. Additionally, Structural Similarity Index (SSIM) analysis confirmed near-zero structural correlation (averaging 0.018) in encrypted frames while achieving perfect reconstruction (SSIM = 1.0) during decryption. Adjacent pixel correlation analysis demonstrated exceptional randomness with correlation coefficients approaching zero (|r| < 0.006) across horizontal, vertical, and diagonal directions, effectively eliminating spatial dependencies.

Keywords

Video Encryption Multi-Chaotic Map Cascade Hyperchaotic System Statistical Attack Differential Attack
Lestiawan, H., Jatmoko, C., Sari, W. S., & Doheir, M. (2026). Robust Video Encryption using Multi-Chaotic Map Cascade to Mitigate Statistical and Differential Attacks. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 11(4). https://doi.org/10.22219/kinetik.v11i4.2738
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References
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  5. Z. A. Abduljabbar et al., “Session-Dependent Token-Based Payload Enciphering Scheme for Integrity Enhancements in Wireless Networks,” Journal of Sensor and Actuator Networks, vol. 11, no. 3, Sep. 2022, doi: 10.3390/jsan11030055.
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  29. M. H~non, “Mathematical Physics A Two-dimensional Mapping with a Strange Attractor,” 1976
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References


J. da M. Liborio, C. Melo, and M. Silva, “Internet Video Delivery Improved by Super-Resolution with GAN,” Future Internet, vol. 14, no. 12, Dec. 2022, doi: 10.3390/fi14120364.

E. Şengönül, R. Samet, Q. Abu Al-Haija, A. Alqahtani, B. Alturki, and A. A. Alsulami, “An Analysis of Artificial Intelligence Techniques in Surveillance Video Anomaly Detection: A Comprehensive Survey,” Apr. 01, 2023, MDPI. doi: 10.3390/app13084956.

K. Hu, D. Ma, and S. Qiu, “SecureTeleMed: Privacy-Preserving Volumetric Video Streaming for Telemedicine,” Electronics (Switzerland), vol. 14, no. 17, Sep. 2025, doi: 10.3390/electronics14173371.

M. Dua, D. Makhija, P. Y. L. Manasa, and P. Mishra, “3D chaotic map-cosine transformation based approach to video encryption and decryption,” Open Computer Science, vol. 12, no. 1, pp. 37–56, Feb. 2022, doi: 10.1515/comp-2020-0225.

Z. A. Abduljabbar et al., “Session-Dependent Token-Based Payload Enciphering Scheme for Integrity Enhancements in Wireless Networks,” Journal of Sensor and Actuator Networks, vol. 11, no. 3, Sep. 2022, doi: 10.3390/jsan11030055.

Q. Ye, Q. Zhang, S. Liu, and K. Chen, “A novel chaotic system based on coupled map lattice and its application in HEVC encryption,” Mathematical Biosciences and Engineering, vol. 18, no. 6, pp. 9410–9429, 2021, doi: 10.3934/mbe.2021463.

H. S. Gill, T. Singh, B. Kaur, G. S. Gaba, M. Masud, and M. Baz, “A Metaheuristic Approach to Secure Multimedia Big Data for IoT-Based Smart City Applications,” Wirel. Commun. Mob. Comput., vol. 2021, 2021, doi: 10.1155/2021/7147940.

Z. H. Thabit, S. A. Mehdi, and B. M. Nema, “Enhancing Color Image Security: Encryption with Dynamic Chaotic Three-Dimensional System and Robust Security Analysis,” Al-Mustansiriyah Journal of Science, vol. 34, no. 4, pp. 87–95, Dec. 2023, doi: 10.23851/mjs.v34i4.1411.

P. Soni, “A Survey on Performance Evolution Of Various Encryption Algorithms,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 9, no. 8, pp. 2721–2727, Aug. 2021, doi: 10.22214/ijraset.2021.37783.

D. N. Ilham, S. Suherman, G. Sihombing, and Y. Siregar, “Delay distributions on encrypted real-time traffics,” in Journal of Physics: Conference Series, IOP Publishing Ltd, Jun. 2021. doi: 10.1088/1742-6596/1898/1/012001.

A. A. A. El-Latif, J. Ramadoss, B. Abd-El-Atty, H. S. Khalifa, and F. Nazarimehr, “A Novel Chaos-Based Cryptography Algorithm and Its Performance Analysis,” Mathematics, vol. 10, no. 14, Jul. 2022, doi: 10.3390/math10142434.

M. K. Khairullah, A. A. Alkahtani, M. Z. Bin Baharuddin, and A. Al-Jubari, “Designing 1d chaotic maps for fast chaotic image encryption,” Electronics (Switzerland), vol. 10, no. 17, Sep. 2021, doi: 10.3390/electronics10172116.

Shamsa Kanwal et al., “A New Image Encryption Technique Based on Sine Map, Chaotic Tent Map, and Circulant Matrices,” Security and Communication Networks, vol. 2022, 2022, doi: 10.1155/2022/4152683.

A. Al-Daraiseh, Y. Sanjalawe, S. Al-E’mari, S. Fraihat, M. Bany Taha, and M. Al-Muhammed, “Cryptographic Grade Chaotic Random Number Generator Based on Tent-Map,” Journal of Sensor and Actuator Networks, vol. 12, no. 5, Oct. 2023, doi: 10.3390/jsan12050073.

W. Alexan, Y. L. Chen, L. Y. Por, and M. Gabr, “Hyperchaotic Maps and the Single Neuron Model: A Novel Framework for Chaos-Based Image Encryption,” Symmetry (Basel)., vol. 15, no. 5, May 2023, doi: 10.3390/sym15051081.

C. Erbay, “Security Analysis of a Random Number Generator Based on a Ten-Term Chaotic System for Multimedia Applications,” Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 13, no. 3, pp. 1098–1111, Jul. 2025, doi: 10.29130/dubited.1631332.

C. Yang, X. Wei, and C. Wang, “S‐box design based on 2d multiple collapse chaotic map and their application in image encryption,” Entropy, vol. 23, no. 10, Oct. 2021, doi: 10.3390/e23101312.

C. M. L. Etoundi et al., “A Novel Compound-Coupled Hyperchaotic Map for Image Encryption,” Symmetry (Basel)., vol. 14, no. 3, Mar. 2022, doi: 10.3390/sym14030493.

H. Qiu, X. Zhang, H. Yue, and J. Liu, “A Novel Eighth-Order Hyperchaotic System and Its Application in Image Encryption,” Mathematics, vol. 11, no. 19, Oct. 2023, doi: 10.3390/math11194099.

A. Abdelli, W. El Hadj Youssef, L. Khriji, and M. Machhout, “Enhanced lightweight encryption algorithm based on chaotic systems,” Phys. Scr., vol. 99, no. 10, Oct. 2024, doi: 10.1088/1402-4896/ad75c5.

S. Kumar and D. Sharma, “A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm,” Artif. Intell. Rev., vol. 57, no. 4, Apr. 2024, doi: 10.1007/s10462-024-10719-0.

B. J. Al-Khafaji, A. Monem, and S. Rahma, “IHJPAS. 37 (2) 2024 Ibn Al-Haitham Journal for Pure and Applied Sciences A Modern Encryption Approach to Improve Video Security as an Advanced Standard Adopted,” 2024, doi: 10.30526/37.2.

A. Kadir, A. Hamdulla, and W. Q. Guo, “Color image encryption using skew tent map and hyper chaotic system of 6th-order CNN,” Optik (Stuttg)., vol. 125, no. 5, pp. 1671–1675, Mar. 2014, doi: 10.1016/j.ijleo.2013.09.040.

J. Fridrich, “SYMMETRIC CIPHERS BASED ON TWO-DIMENSIONAL CHAOTIC MAPS,” 1998. [Online]. Available: www.worldscientific.com

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” 2004. [Online]. Available: http://www.cns.nyu.edu/~lcv/ssim/.

“lorenz1962”.

A.-V. Diaconu and A. C. Dascalescu, “CORRELATION DISTRIBUTION OF ADJACENT PIXELS RANDOMESS TEST FOR IMAGE ENCRYPTION,” 2017.

Z. Hua, F. Jin, B. Xu, and H. Huang, “2D Logistic-Sine-coupling map for image encryption,” Signal Processing, vol. 149, pp. 148–161, Aug. 2018, doi: 10.1016/j.sigpro.2018.03.010.

M. H~non, “Mathematical Physics A Two-dimensional Mapping with a Strange Attractor,” 1976

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KINETIK: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
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