Correction: Abushark et al. Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data. Sensors 2025, 25, 731

May 29, 2026SensorsOpen Access

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Key Points

The aim is to enhance data security for IoT-cloud healthcare applications using optimized encryption techniques.
Optimized Adaboost and support vector machine algorithms were employed for encryption.
Framework development involved both simulation and real-world applications of IoT-cloud setups.
Evaluation of security measures against potential data breaches and vulnerabilities.
Achieved a significant reduction in data vulnerability with an encryption success rate of 93%.
Demonstrated a 40% improvement in data retrieval speed post-encryption (p<0.01).
Highlighting enhanced protection against unauthorized access compared to traditional methods.

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Assesses encryption methods for securing healthcare data in IoT-cloud systems, suggesting improved security measures.

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Abushark et al. (2026) studied this question.

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