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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
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Decentralized Machine Autonomy for Manufacturing Servitization.

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Decentralized IoT Data Authentication with Signature Aggregation.

Jay Bojič Burgos1, Matevž Pustišek1

  • 1Faculty of Electrical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia.

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|February 10, 2024
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Summary

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.

Keywords:
IoTSNARKblockchaindata authenticationrollupsignature aggregation

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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.