Advanced Medical Image Security Framework Using Intelligent Satin Bowerbird Search-Driven Advanced Encryption Standard

M. Senthilkumar (), K. Suthendran () and Vinayakumar Ravi ()
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M. Senthilkumar: Kalasalingam Academy of Research and Education, Department of CSE
K. Suthendran: Kalasalingam Academy of Research and Education, Department of IT
Vinayakumar Ravi: Prince Mohammad Bin Fahd University, Center for Artificial Intelligence

A chapter in Applied Reliability and Statistical Modeling: Their Applications, 2026, pp 43-57 from Springer

Abstract: Abstract The reliance on digital technologies in healthcare is transforming patient information management. As cloud-based systems for storing sensitive data, including medical images, become common, strong security protocols are necessary to guard against data breaches and unauthorized access, ensuring patient trust and compliance with regulatory standards throughout the data lifecycle. This paper presents an innovative medical image security framework that integrates the Advanced Encryption Standard (AES) with a novel optimization algorithm called Intelligent Satin Bowerbird search-driven Advanced Encryption Standard (ISB-AES). This approach employs a dual mechanism, the AES for cryptographic encryption and the SBS algorithm for optimizing key management and encryption processes. The framework gathers MIand patient data, processes them through the model, and ensures secure storage and transfer. The proposed algorithm enhances encryption by mimicking the nesting behaviour of satin bowerbirds, leading to improved key generation and management. The effectiveness of the framework using various performance metrics, including CPU time (s) (0.652), Entropy (8.621), Unified Averaged Changed Intensity (UACI) (30.08), and peak signal-to-noise ratio (PSNR) (dB) (7.83) is evaluated. Preliminary results indicate that the ISB-AESframework outperforms existing security systems in safeguarding medical images, thereby demonstrating its potential for real-world healthcare applications. This study contributes to the ongoing efforts to enhance medical image security in the digital landscape.

Keywords: Medical image security; Key management; Intelligent satin bowerbird search-driven advanced encryption standard (ISB-AES); Cloud computing; Good health and Well-being (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-21331-0_3

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