J. Sens. Actuator Netw. 2024, 13(6), 78; https://doi.org/10.3390/jsan13060078 - 14 Nov 2024
Abstract
Blockchain-based sensor networks offer promising solutions for secure and transparent data management in IoT ecosystems. However, efficient set membership proofs remain a critical challenge, particularly in resource-constrained environments. This paper introduces a novel OR-aggregation approach (where “OR” refers to proving that an element
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Blockchain-based sensor networks offer promising solutions for secure and transparent data management in IoT ecosystems. However, efficient set membership proofs remain a critical challenge, particularly in resource-constrained environments. This paper introduces a novel OR-aggregation approach (where “OR” refers to proving that an element equals at least one member of a set without revealing which one) for zero-knowledge set membership proofs, tailored specifically for blockchain-based sensor networks. We provide a comprehensive theoretical foundation, detailed protocol specification, and rigorous security analysis. Our implementation incorporates optimization techniques for resource-constrained devices and strategies for integration with prominent blockchain platforms. Extensive experimental evaluation demonstrates the superiority of our approach over existing methods, particularly for large-scale deployments. Results show significant improvements in proof size, generation time, and verification efficiency. The proposed OR-aggregation technique offers a scalable and privacy-preserving solution for set membership verification in blockchain-based IoT applications, addressing key limitations of current approaches. Our work contributes to the advancement of efficient and secure data management in large-scale sensor networks, paving the way for wider adoption of blockchain technology in IoT ecosystems.
Full article
(This article belongs to the Special Issue Security and Smart Applications in IoT and Wireless Sensor and Actuator Networks)
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<p>OR-Aggregation Protocol Workflow.</p> Full article ">Figure 2
<p>Proof size comparison.</p> Full article ">Figure 3
<p>Scalability of batch verification.</p> Full article ">Figure 4
<p>Performance analysis of the OR-aggregation protocol in a simulated network. (<b>a</b>) Proof generation and verification times showing distribution and outliers; (<b>b</b>) power consumption distribution across nodes; (<b>c</b>) success rate demonstrating operational reliability; (<b>d</b>) battery level monitoring indicating resource efficiency.</p> Full article ">Figure 4 Cont.
<p>Performance analysis of the OR-aggregation protocol in a simulated network. (<b>a</b>) Proof generation and verification times showing distribution and outliers; (<b>b</b>) power consumption distribution across nodes; (<b>c</b>) success rate demonstrating operational reliability; (<b>d</b>) battery level monitoring indicating resource efficiency.</p> Full article ">
<p>OR-Aggregation Protocol Workflow.</p> Full article ">Figure 2
<p>Proof size comparison.</p> Full article ">Figure 3
<p>Scalability of batch verification.</p> Full article ">Figure 4
<p>Performance analysis of the OR-aggregation protocol in a simulated network. (<b>a</b>) Proof generation and verification times showing distribution and outliers; (<b>b</b>) power consumption distribution across nodes; (<b>c</b>) success rate demonstrating operational reliability; (<b>d</b>) battery level monitoring indicating resource efficiency.</p> Full article ">Figure 4 Cont.
<p>Performance analysis of the OR-aggregation protocol in a simulated network. (<b>a</b>) Proof generation and verification times showing distribution and outliers; (<b>b</b>) power consumption distribution across nodes; (<b>c</b>) success rate demonstrating operational reliability; (<b>d</b>) battery level monitoring indicating resource efficiency.</p> Full article ">
