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IBS-ECDHE: A blockchain-enhanced lightweight protocol for secure cloud-IoT in biomedical HCPS
Attiq Ur Rehman1, Songfeng Lu1,2, Muhammad Usman3
1School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 730074, China.
This study introduces a new security framework, Identity-Based Signatures with Elliptic Curve Diffie-Hellman Ephemeral (IBS-ECDHE), for biomedical systems. It enhances data security and privacy in cloud-Internet-of-Things healthcare applications.
Area of Science:
- Biomedical Engineering
- Cybersecurity
- Computer Science
Background:
- Cloud-Internet-of-Things (CIoT) adoption in biomedical human-cyber-physical systems (HCPS) presents security, privacy, and scalability challenges.
- Existing security measures may not adequately address the unique demands of healthcare data exchange.
Purpose of the Study:
- To propose a novel Identity-Based Signatures with Elliptic Curve Diffie-Hellman Ephemeral (IBS-ECDHE) framework for securing biomedical HCPS.
- To enhance data security, privacy, and scalability in healthcare environments utilizing CIoT.
Main Methods:
- Integration of Identity-Based Signatures (IBS) and Elliptic Curve Diffie-Hellman Ephemeral (ECDHE) key exchange.
- Leveraging blockchain technology for decentralized identity management and access control.
- Implementation of smart contracts for automated key management and privacy enforcement.
Main Results:
- IBS-ECDHE framework demonstrated significant reductions in authentication time (up to 76%) and message size (40%) compared to traditional Public Key Infrastructure (PKI) systems.
- Achieved lower blockchain transaction latency and improved scalability through parallel processing (37% latency reduction).
- Ensured robust security, privacy, and data integrity for sensitive biomedical data.
Conclusions:
- The proposed IBS-ECDHE framework offers a robust, lightweight, and efficient solution for securing biomedical HCPS.
- Blockchain integration provides decentralized identity management and enhances data integrity for real-time biomedical data exchange.
- The framework is highly suitable for next-generation biomedical applications requiring advanced security and privacy.
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