An optimized hybrid encryption framework for smart home healthcare: Ensuring data confidentiality and security

•Proposed and developed a novel, optimized hybrid encryption framework combining ECC-256r1 and AES-128 in EAX mode, optimized for smart home healthcare systems, enhancing data security and operational efficiency.•Addressed limitations in securing sensitive health data and resilience against quantum...

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Veröffentlicht in:Internet of things (Amsterdam. Online) 2024-10, Vol.27, p.101314, Article 101314
Hauptverfasser: Popoola, Olusogo, Rodrigues, Marcos A, Marchang, Jims, Shenfield, Alex, Ikpehai, Augustine, Popoola, Jumoke
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Sprache:eng
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Zusammenfassung:•Proposed and developed a novel, optimized hybrid encryption framework combining ECC-256r1 and AES-128 in EAX mode, optimized for smart home healthcare systems, enhancing data security and operational efficiency.•Addressed limitations in securing sensitive health data and resilience against quantum computing threats.•Presented a practical encryption solution that seamlessly integrates into existing healthcare systems without increasing complexity, ensuring user-friendly operation and high-grade data protection.•Conducted extensive experimental evaluations, showing that the proposed encryption configuration significantly outperforms existing methods in terms of speed, energy efficiency, and security.•Demonstrated superior performance of the proposed encryption system, achieving high-speed processing (0.006 seconds) and low energy consumption (3.65W), making it suitable for IoT devices, i.e., Outperformed existing solutions in security, processing speed (0.006s), and energy efficiency (3.65W client, 95.4W server).•Proved resistance of the encryption model against a variety of cyber threats including MITM, Replay, and Sybil attacks, while also considering future quantum computing challenges simplistically and practically.•Presented a future-proof, quantum-resistant solution for safeguarding IoT-driven healthcare data. This study proposes an optimized hybrid encryption framework combining ECC-256r1 with AES-128 in EAX mode, tailored for smart home healthcare environments, and conducts a comprehensive investigation to validate its performance. Our framework addresses current limitations in securing sensitive health data and demonstrates resilience against emerging quantum computing threats. Through rigorous experimental evaluation, we show that the proposed configuration outperforms existing solutions by delivering unmatched security, processing speed, and energy efficiency. It employs a robust yet streamlined approach, meticulously designed to ensure simplicity and practicality, facilitating seamless integration into existing systems without imposing undue complexity. Our investigation affirms the framework's capability to resist common cybersecurity threats like MITM, replay, and Sybil attacks while proactively considering quantum resilience. The proposed method excels in processing speed (0.006 seconds for client and server) and energy efficiency (3.65W client, 95.4W server), offering a quantum-resistant security level comparable to AES-128. This represents
ISSN:2542-6605
2542-6605
DOI:10.1016/j.iot.2024.101314