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<p>Recent advances have been made towards this goal, owing to the explosion of resource-constrained IoT devices: wearables, smart sensors and embedded systems, raising the need for efficient cryptographic primitives that offer high security margins while dramatically reducing their resource needs. Existing algorithms such as DES, 3DES, AES and Blowfish and RSA are secure but too resource-hungry for these devices in terms of computation and memory. In order to overcome these drawbacks, we present a Modified Chaos-Driven Enhanced Cryptographic Framework that is intentionally devoted to the security of IoT in resource-limited settings. It is a way to improve the classic logistic map by sharing entropy from dynamic key generation using smaller seeds, which makes the load faster for computation and stronger key unpredictability. The chaotic nature of the sensitive dependence on initial conditions means that the keys are highly unpredictable, which enhances confusion and diffusion properties of secure encryption. The model uses XOR-based encryption and modular arithmetic for nonlinear transformations in order to enhance security with reduced computational complexity. The framework is efficient in resource-constrained environments that are based on a lightweight symmetric encryption approach. Permuting the indices additionally increases diffusion, thereby increasing the system’s resistance to cryptanalysis. With the threat posed by quantum computing in mind, we incorporate Post-Quantum Cryptography (PQC) schemes like lattice-based cryptography and hash-based digital signatures into the framework to future-proof it. This hybrid scheme provides security against classical and quantum adversaries. Additionally, the lightweight nature of the framework allows it to run efficiently on low-power devices with minimal memory requirements, making it a feasible solution for wide deployment in real-time IoT applications such as smart cities, healthcare, and industrial IoT systems. This ensures scalability and adaptability to the growing and diverse needs of the IoT landscape.</p>

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A Modified Chaos-Driven Enhanced Cryptographic Framework for Lightweight and Robust IoT Security in Resource-Constrained Devices

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月13日

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  • M. Vamsikrishna,
  • Yagyesh Godiyal,
  • Abhishek Kumar Pandey,
  • Umesh Kumar Lilhore,
  • Sarita Simaiya,
  • Sultan Mesfer A. Aldossary,
  • Shimaa A. Hussien,
  • Ehab Seif Ghith,
  • Lidia Gosy Tekeste,
  • Yogesh Kumar Sharma

摘要

Recent advances have been made towards this goal, owing to the explosion of resource-constrained IoT devices: wearables, smart sensors and embedded systems, raising the need for efficient cryptographic primitives that offer high security margins while dramatically reducing their resource needs. Existing algorithms such as DES, 3DES, AES and Blowfish and RSA are secure but too resource-hungry for these devices in terms of computation and memory. In order to overcome these drawbacks, we present a Modified Chaos-Driven Enhanced Cryptographic Framework that is intentionally devoted to the security of IoT in resource-limited settings. It is a way to improve the classic logistic map by sharing entropy from dynamic key generation using smaller seeds, which makes the load faster for computation and stronger key unpredictability. The chaotic nature of the sensitive dependence on initial conditions means that the keys are highly unpredictable, which enhances confusion and diffusion properties of secure encryption. The model uses XOR-based encryption and modular arithmetic for nonlinear transformations in order to enhance security with reduced computational complexity. The framework is efficient in resource-constrained environments that are based on a lightweight symmetric encryption approach. Permuting the indices additionally increases diffusion, thereby increasing the system’s resistance to cryptanalysis. With the threat posed by quantum computing in mind, we incorporate Post-Quantum Cryptography (PQC) schemes like lattice-based cryptography and hash-based digital signatures into the framework to future-proof it. This hybrid scheme provides security against classical and quantum adversaries. Additionally, the lightweight nature of the framework allows it to run efficiently on low-power devices with minimal memory requirements, making it a feasible solution for wide deployment in real-time IoT applications such as smart cities, healthcare, and industrial IoT systems. This ensures scalability and adaptability to the growing and diverse needs of the IoT landscape.