A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks

• URL: http://arxiv.org/abs/2505.00593v1
• Date: Thu, 01 May 2025 15:26:48 GMT
• Title: A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks
• Authors: Muhammad Shahbaz Khan, Ahmed Al-Dubai, Jawad Ahmad, Nikolaos Pitropakis, Baraq Ghaleb,
• Abstract summary: Security of image data in the Internet of Things (IoT) and edge networks is crucial.<n>Traditional encryption algorithms such as AES and RSA are computationally expensive for resource-constrained IoT devices.<n>This paper proposes a novel Feature-Aware Chaotic Image Encryption scheme.
• Score: 2.0189209920381774
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The security of image data in the Internet of Things (IoT) and edge networks is crucial due to the increasing deployment of intelligent systems for real-time decision-making. Traditional encryption algorithms such as AES and RSA are computationally expensive for resource-constrained IoT devices and ineffective for large-volume image data, leading to inefficiencies in privacy-preserving distributed learning applications. To address these concerns, this paper proposes a novel Feature-Aware Chaotic Image Encryption scheme that integrates Feature-Aware Pixel Segmentation (FAPS) with Chaotic Chain Permutation and Confusion mechanisms to enhance security while maintaining efficiency. The proposed scheme consists of three stages: (1) FAPS, which extracts and reorganizes pixels based on high and low edge intensity features for correlation disruption; (2) Chaotic Chain Permutation, which employs a logistic chaotic map with SHA-256-based dynamically updated keys for block-wise permutation; and (3) Chaotic chain Confusion, which utilises dynamically generated chaotic seed matrices for bitwise XOR operations. Extensive security and performance evaluations demonstrate that the proposed scheme significantly reduces pixel correlation -- almost zero, achieves high entropy values close to 8, and resists differential cryptographic attacks. The optimum design of the proposed scheme makes it suitable for real-time deployment in resource-constrained environments.

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