Optimized data storage and retrieval in blockchain systems leveraging zero-knowledge proofs and sharding techniques

Zhiheng Qiu; Wentao Li; Qianhang Huang; Yutong Sun; Xiaolan Ma; Keqi Zhang; Jueqiao Huang

doi:10.1117/12.3013293

29 November 2023 Optimized data storage and retrieval in blockchain systems leveraging zero-knowledge proofs and sharding techniques

Zhiheng Qiu, Wentao Li, Qianhang Huang, Yutong Sun, Xiaolan Ma, Keqi Zhang, Jueqiao Huang

Author Affiliations +

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 1293707 (2023) https://doi.org/10.1117/12.3013293
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

With the widespread adoption of blockchain technology across diverse sectors[1], the imperative for efficient data storage and retrieval mechanisms has intensified[2]. This paper introduces an innovative approach that synergizes Zero-Knowledge Proofs (ZKP) and sharding techniques to bolster data privacy and optimize storage within blockchain systems. We present an exhaustive analysis of prevailing blockchain data storage mechanisms, pinpoint their inherent privacy vulnerabilities, and elucidate the potential of ZKP in mitigating these concerns. Furthermore, we propose a sharding-centric solution that not only fortifies data privacy but also augments the efficiency of data retrieval[3]. Experimental results, derived from real-world scenarios, validate the robustness and efficiency of our proposed methodology.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiheng Qiu, Wentao Li, Qianhang Huang, Yutong Sun, Xiaolan Ma, Keqi Zhang, and Jueqiao Huang "Optimized data storage and retrieval in blockchain systems leveraging zero-knowledge proofs and sharding techniques", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 1293707 (29 November 2023); https://doi.org/10.1117/12.3013293

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