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All Journal Bulletin of Electrical Engineering and Informatics
Noorayisahbe Mohd Yaacob
Universiti Kebangsaan Malaysia
Electrical & Electronics Engineering

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A federated system with secure data transmission using elliptic curve cryptography for aeroponics internet of things system Christy Atika Sari; Aris Marjuni; Ichwan Setiarso; Eko Hari Rachmawanto; Eva Damayanti; Folasade Olubusola Isinkaye; Noorayisahbe Mohd Yaacob; Md Kamruzzaman Sarker
Bulletin of Electrical Engineering and Informatics Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i5.11330

Abstract

In the local contexts such as distributed internet of things (IoT)-based monitoring or control systems, the impact of cybersecurity attacks is amplified by limited computational resources and the lack of adaptive encryption mechanisms. To address these challenges, this study proposes a lightweight and chaos-driven encryption model that integrates elliptic curve cryptography (ECC) with dynamic key generation based on logistic map perturbation and adaptive bit-level rotation. The proposed method is designed to enhance payload integrity while minimizing computational overhead. Experimental results demonstrate that the model achieves low latency with an average encryption time of 4.97 ms and decryption time of 6.28 ms. Also, it exhibits a payload overhead of only 18% and maintains 100% correctness under targeted packet injection scenarios. These results confirm the suitability of the model for resource-constrained environments. This work contributes a novel symmetric encryption approach with practical robustness and scalability. It paves the way for secure-by-design network protocols in real-time applications.
Improved Lorenz chaotic map with dynamic zig-zag pattern for high-security digital image encryption Ajib Susanto; Elkaf Rahmawan Pramudya; Noorayisahbe Mohd Yaacob
Bulletin of Electrical Engineering and Informatics Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i5.11639

Abstract

This study proposes a secure image encryption framework based on an improved Lorenz chaotic map combined with a dynamic zig-zag permutation strategy. The improved chaotic mapping introduces dynamic perturbations to increase the complexity of chaotic trajectories and expand the key space, while the dynamic zig-zag traversal enhances pixel-level diffusion and minimizes residual pixel correlations during the permutation stage. Experimental evaluation was conducted on multiple RGB images with a resolution of 512×512 pixels. The proposed method achieved mean squared error (MSE) values of approximately 1800–1900 and peak signal-to-noise ratio (PSNR) values around 15.8 dB, indicating significant structural distortion between plaintext and cipher images. In addition, the obtained unified average changing intensity (UACI) (~33.4%) and number of pixels change rate (NPCR) (~99.61%) values approach the theoretical ideals, demonstrating strong resistance against statistical and differential attacks. Comparative analysis shows that the proposed framework provides stronger statistical robustness than conventional Lorenz-based encryption schemes. Furthermore, the decryption process successfully reconstructs the original images without information loss, confirming the correctness and reversibility of the scheme. These results indicate that integrating dynamic perturbations with adaptive zig-zag permutation effectively improves diffusion strength, key space complexity, and overall encryption robustness for secure multimedia image transmission.
Co-Authors Ajib Susanto Aris Marjuni Christy Atika Sari Eko Hari Rachmawanto Elkaf Rahmawan Pramudya Eva Damayanti Folasade Olubusola Isinkaye Ichwan Setiarso Md Kamruzzaman Sarker