首页|基于区块链的轻量级群智感知方案

基于区块链的轻量级群智感知方案

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群智感知作为一种可持续且成本低廉的数据收集方式,被广泛应用于大规模数据收集和分析的场景.将区块链技术和群智感知系统结合可以实现群智感知系统的去中心化,有效保障感知数据的安全性.然而,区块链特有的验签和存储机制往往会造成网络堵塞和存储压力过大,导致群智感知系统处理效率低下.为解决这些问题,本文提出了一种基于区块链的轻量级群智感知方案.本方案使用Paillier同态加密算法对感知数据进行加密,然后使用BLS算法对其进行签名和聚合,验签成功后的加密交易被保存在IPFS上并自动生成上链存储的索引值.通过实验证明,本方案在保证用户身份和数据隐私的基础上,提高了感知用户的身份验证效率并降低了区块链系统的存储压力.
Lightweight Scheme for Crowd Sensing Based on Blockchain
Crowd Sensing,as a sustainable and cost-effective data collection method,is widely used in scenarios of large-scale data collection and analysis.The integration of blockchain technology and crowd sensing systems can decentralize crowd sensing systems and effectively secure sensed dates.However,the unique verification and storage mechanisms of the blockchain often cause network con-gestion and excessive storage pressure,resulting in low processing efficiency of the crowd sensing sys-tem.To address these issues,this paper proposes a lightweight crowd sensing solution based on block-chain.This solution uses the Paillier homomorphic encryption algorithm encryption algorithm to en-crypt the sensed data,then uses the BLS algorithm for signing and aggregation.The encrypted transac-tions that pass the verification are saved on IPFS with an index value for on-chain storage generated automatically Through empirical verification,this solution improves the identity verification efficiency of sensing users and reduces the storage pressure of the blockchain system,while ensuring user identity and data privacy.

crowd sensingblockchainPaillierBLS signatureIPFS

张虹、李笑

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太原师范学院计算机科学与技术学院,山西晋中 030619

群智感知 区块链 Paillier BLS签名 IPFS

山西省自然科学研究面上项目2022年度太原师范学院研究生教育创新项目

202303021221173SYYJSYC-2268

2024

太原师范学院学报(自然科学版)
太原师范学院

太原师范学院学报(自然科学版)

影响因子:0.127
ISSN:1672-2027
年,卷(期):2024.23(1)
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