Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs

This paper presents a framework for securing blockchain-based IoT systems by integrating Physical Unclonable Functions (PUFs) and Zero-Knowledge Proofs (ZKPs) within a Hyperledger Fabric environment. Our approach leverages PUFs for robust device authentication and ZKPs for privacy-preserving transaction processing, addressing key challenges of security, privacy, and scalability in IoT systems. The framework’s architecture utilizes Hyperledger Fabric’s modular design and private channels to enhance scalability. Off-chain experimental results demonstrate the framework’s feasibility, with compact proof sizes (median 805 bytes) and efficient processing times (average 2,800 ms end-to-end). A comprehensive security analysis shows the framework’s resilience against various attacks, including device impersonation and data tampering. This work provides a foundation for secure and scalable blockchain-based IoT systems, with directions for future on-chain implementation and optimization for resource-constrained devices.

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Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/lcn60385.2024.10639679
Citations
9
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
7.01
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article

Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs

Garth V. Crosby, Sena Hounsinou, Daniel Commey
9 citations
Blockchain Technology Applications and Security
7.01
article

Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs

Garth V. Crosby, Sena Hounsinou, Daniel Commey
article en
9 citations

Abstract

This paper presents a framework for securing blockchain-based IoT systems by integrating Physical Unclonable Functions (PUFs) and Zero-Knowledge Proofs (ZKPs) within a Hyperledger Fabric environment. Our approach leverages PUFs for robust device authentication and ZKPs for privacy-preserving transaction processing, addressing key challenges of security, privacy, and scalability in IoT systems. The framework’s architecture utilizes Hyperledger Fabric’s modular design and private channels to enhance scalability. Off-chain experimental results demonstrate the framework’s feasibility, with compact proof sizes (median 805 bytes) and efficient processing times (average 2,800 ms end-to-end). A comprehensive security analysis shows the framework’s resilience against various attacks, including device impersonation and data tampering. This work provides a foundation for secure and scalable blockchain-based IoT systems, with directions for future on-chain implementation and optimization for resource-constrained devices.

Metropolitan State University (US)
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
7.01
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