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This study introduces a new framework for Internet of Things (IoT) data authentication using edge servers and Ethereum Layer 2 rollups. It offers a scalable, secure solution that significantly reduces costs and improves performance over traditional methods.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Distributed Systems

Background:

  • The Internet of Things (IoT) presents significant data authentication challenges, balancing scalability and security.
  • Traditional authentication methods often rely on third parties, while existing blockchain solutions face computational and storage limitations.

Purpose of the Study:

  • To develop a novel, scalable, and secure framework for IoT data authentication.
  • To reduce the need for direct interaction between IoT devices and the blockchain, mitigating bottlenecks.

Main Methods:

  • Implementation of a framework utilizing edge aggregating servers and Ethereum Layer 2 rollups.
  • Comparison of Nova and Risc0 proving systems for batch IoT data signature verification.
  • Recording authentication data on Layer 2 rollups for immutability and transparency.

Main Results:

  • The Nova proving system demonstrated superior performance over Risc0, with significantly faster proving and verification times.
  • Batch authentication with Nova for 10 signatures took 3.62 seconds, compared to 369 seconds for Risc0.
  • Utilizing Layer 2 rollups reduced on-chain storage costs by 48-57 times compared to direct Ethereum usage.

Conclusions:

  • The proposed framework offers a scalable and secure solution for IoT data authentication.
  • The integration of edge servers and Layer 2 rollups effectively addresses computational, storage, and cost bottlenecks.
  • Nova's performance advantage makes it a highly suitable choice for efficient IoT data verification within the framework.