Shabbab Ali Algamdi

Abstract This study presents a novel hybrid cryptographic model designed to enhance privacy preservation and data integrity in IoT-enabled Wireless Sensor Networks (WSNs). Traditional algorithms such as RSA, AES, and Blowfish are evaluated and combined into a Hybrid Model to address the resource-constrained nature of IoT devices.

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Conflicts of Interest The authors declare no conflicts of interest. References 1, , , et al., “Analysis and Classification of Human Skin Diseases,” (2016). 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), Pune, India, 1067–1071. 2, , , et al., “Image-Based Skin Disease Detection Using Hybrid Neural Network Coupled Bag-of-Features,” (2017). 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 42–246.