On the Design of Blockchain-Based ECDSA With Fault-Tolerant Batch Verification Protocol for Blockchain-Enabled IoMT

Area of Science:

• Cryptography and Blockchain Technology
• Internet of Medical Things (IoMT) Security

Background:

• Blockchain and the Internet of Medical Things (IoMT) require robust data sharing and trust.
• Elliptic Curve Digital Signature Algorithm (ECDSA) is crucial for blockchain security but faces scalability challenges with multiple signature verification.
• Existing ECDSA batch verification schemes have limitations in batch size and efficiency, and often neglect invalid signature identification.

Purpose of the Study:

• To propose an efficient and large-scale batch verification scheme for ECDSA.
• To enhance the identification of invalid signatures in blockchain transactions.
• To improve the overall performance and scalability of blockchain systems, particularly in IoMT.

Main Methods:

• Developed a novel batch verification scheme for ECDSA incorporating group testing technology.
• Analyzed the application and effectiveness of the proposed protocols in Bitcoin and Hyperledger Fabric.
• Utilized group testing to efficiently identify invalid signatures when batch verification fails.

Main Results:

• The proposed scheme enables efficient and large-scale batch verification of ECDSA signatures.
• Group testing significantly improves the efficiency of identifying invalid signatures, mitigating performance degradation.
• Simulations confirm the protocol's superior performance compared to existing ECDSA batch verification schemes.

Conclusions:

• The proposed ECDSA batch verification scheme with group testing offers enhanced efficiency and scalability for blockchain applications.
• This approach effectively addresses the limitations of current methods in handling large transaction volumes and identifying invalid signatures.
• The findings support the secure and efficient implementation of blockchain in IoMT networks.