TimeChain: A Secure and Decentralized Off-chain Storage System for IoT Time Series Data
Track: Systems and infrastructure for Web, mobile, and WoT
Keywords: IoT Series Data, Blockchain, Database
Abstract: Blockchain-based distributed storage systems offer enhanced security, transparency, and lower costs compared to traditional centralized storage, making them ideal for peer-to-peer collaboration. However, with the trend towards the Web of Things (WoT), lower transaction speeds and higher computational requirements limit their access to high-density data such as IoT. To address this, we propose TimeChain, an efficient off-chain blockchain storage system for IoT time series data. TimeChain batches discrete time series data, storing only the hash value of each batch on-chain while keeping the complete data off-chain. This significantly reduces storage overhead on the blockchain and storage latency by 37.4 times. In order to reduce the additional transmission latency in range queries, TimeChain employs an adaptive packaging mechanism. We convert the batching problem to a graph partitioning problem by representing data and historical co-query as graph vertices and edge weights respectively. To reduce the size of the transmission size in data integrity verification, a Locality-Sensitive Hashing (LSH)-based data integrity verification mechanism, which minimizes the data required for integrity checks by transmitting only non-redundant parts. TimeChain also integrates a node selection mechanism based on consensus protocol, which reduces the overhead by combining node selection and consensus processes. Our evaluation shows a reduction in query latency by 64.6% and storage latency by 35.3% compared to existing systems.
Submission Number: 34
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