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November 29, 2023· International Conference on Internet of Things and Machine Learning (IoTML 2023)
conference-paper

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

Authors:Zhiheng QiuWentao LiQianhang HuangYutong SunXiaolan MaKeqi ZhangJueqiao Huang

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.

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