Enhancing IoT-Enabled Healthcare Security with Blockchain and Machine Learning
A recent study published on Nature.com titled "Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning" explores a novel approach to address security challenges in IoT-based healthcare systems. The research, authored by Mohd Anjum and colleagues, introduces an Opportunistic Access Control Scheme (OACS) that leverages blockchain technology and machine learning to enhance data security and access control. The study highlights that the OACS reduces false rates by 11.74%, increases access rates by 13.1%, and improves processing speed by 12.36%, while also reducing failure rates by 9.94%.
The healthcare industry faces significant challenges with unauthorized access to sensitive patient data, which can lead to breaches of trust and confidentiality. The OACS addresses these issues by implementing a blockchain-based decentralized ledger system that securely logs transactions and enforces access control policies through smart contracts. Additionally, the system employs a trained learning paradigm using Random Forest (RF) classification to analyze user behavior and dynamically adjust permissions. This dual approach ensures robust security while maintaining operational efficiency in healthcare IoT systems.
The study also emphasizes the importance of granular consent management, allowing patients to securely grant or revoke access to their health records. By integrating blockchain technology, the OACS provides a tamper-proof and immutable storage solution for electronic health records (EHRs), ensuring data integrity and preventing unauthorized modifications. The research demonstrates that the OACS outperforms traditional access control methods in terms of processing speed, false positive rates, and flexibility in handling dynamic access requests.
For more details, the full study can be accessed on Nature.com under the title "Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning" (https://www.nature.com/articles/s41598-025-90908-1).
Sources:
- Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning
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