A quantum resistant chaos driven image encryption framework for secure visual data transmission in intelligent transportation systems

Scientific Reports

卷:16

Article

S. N. Prajwalasimha¹  Anurag Sharma²  Dilip Kumar Jang Bahadur Saini³  Bipin Kumar Rai⁴  Gautam Kumar⁵  Prasun Chakrabarti⁶ 

[1] Pro Vice Chancellor (Research and Academics, Singhania University, Rajastha, India

[2] Newcastle University, Singapore, Singapore

[3] Department of CSE (Cybersecurity), School of Engineering, Dayananda Sagar University, 562112, Bangalore, India

[4] Department of Computer Science and Engineering, Dayananda Sagar University, 562112, Bangalore, India

[5] School of Electrical and Electronic Engineering, Newcastle University, Singapore, Singapore

[6] Dept. of AIML, School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India

关键词: Arnold cat map;    Bit-level image encryption;    Chaos theory;    Image security;    Intelligent transportation systems;    Post-quantum cryptography;    QKD;    Quantum encryption;   

DOI  :  10.1038/s41598-026-57548-5

 received in 2026-02-09, accepted in 2026-06-08,  发布年份 2026

来源: Springer

【 摘 要 】

The use of image-sensing and real-time processing in Intelligent Transportation Systems (ITS) has introduced a sudden surge in transmitting and gathering high-resolution visual data from vehicle cameras, road infrastructures, and user devices. Such image data are, however, exceedingly susceptible to interception, tampering, and privacy breaches with regard to imminent quantum computing attacks that can break classical encryption algorithms. With such constraints in view, the paper presents a new Hybrid Quantum-Classical Image Encryption Framework that integrates chaos-based bit-level image encryption and quantum-resistant encryption measures to ensure high-security protection of image information in ITS infrastructures. The new framework integrates a customized bit-level chaotic permutation scheme using a Rearranged Arnold Cat Map (R-ACM) and 2D Logistic-Sine Chaotic Maps for confusion and diffusion, and the inclusion of a Quantum Key Distribution (QKD) or post-quantum lattice-based Kyber Key Encapsulation Mechanism (KEM) for secure key negotiation. The two-pyramidal security architecture enhances sensitivity to key and plaintext variations, offers chosen-plaintext, differential, noise, and occlusion attack immunity, and supports efficient encryption of RGB and grayscale image information without excessively large time overhead. Experimental results on representative ITS-relevant image data sets verify superior performance with mean NPCR > 99.60%, UACI ≈ 33.5%, entropy measures close to 8.0, and significantly suppressed correlation between neighboring pixels. Further, key space analysis demonstrates a combinatorial complexity of over 2²⁵⁶, making brute-force and quantum-type attacks computationally infeasible. The new framework is extremely suitable for real-time implementation in autonomous vehicles, roadside edge nodes, and intelligent traffic monitoring systems, thereby enabling secure, intelligent, and privacy-preserving ITS infrastructure in the post-quantum era.

【 授权许可】

CC BY-NC-ND   
© The Author(s) 2026

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