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1.东北大学计算机科学与工程学院,辽宁 沈阳110819
2.河北省海洋感知网络与数据处理重点实验室,河北 秦皇岛 066004
3.国网辽宁省电力有限公司沈阳供电公司,辽宁 沈阳 110811
4.西安电子科技大学网络与信息安全学院,陕西 西安 710071
[ "鲁宁(1984- ),男,内蒙古包头人,博士,东北大学教授、博士生导师,主要研究方向为网络安全。" ]
[ "陈芳玉(1998- ),男,辽宁抚顺人,东北大学硕士生,主要研究方向为区块链、数据共享等。" ]
[ "刘增辉(1998- ),男,山东淄博人,东北大学博士生,主要研究方向为区块链、数据共享等。" ]
[ "王庆豪(1995- ),男,江苏盐城人,东北大学博士生,主要研究方向为区块链、隐私计算等。" ]
[ "史闻博(1980- ),男,河北唐山人,博士,东北大学教授、博士生导师,主要研究方向为信息安全。" ]
[ "马建峰(1963- ),男,陕西西安人,西安电子科技大学教授、博士生导师,主要研究方向为应用密码学等。" ]
收稿日期:2025-02-08,
修回日期:2025-06-03,
纸质出版日期:2025-06-25
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鲁宁,陈芳玉,刘增辉等.基于区块链预言机的安全高效电力数据共享平台构建方法[J].通信学报,2025,46(06):115-135.
LU Ning,CHEN Fangyu,LIU Zenghui,et al.Secure and efficient power data sharing platform construction approach based on blockchain oracle[J].Journal on Communications,2025,46(06):115-135.
鲁宁,陈芳玉,刘增辉等.基于区块链预言机的安全高效电力数据共享平台构建方法[J].通信学报,2025,46(06):115-135. DOI: 10.11959/j.issn.1000-436x.2025101.
LU Ning,CHEN Fangyu,LIU Zenghui,et al.Secure and efficient power data sharing platform construction approach based on blockchain oracle[J].Journal on Communications,2025,46(06):115-135. DOI: 10.11959/j.issn.1000-436x.2025101.
针对已有基于区块链预言机的数据共享平台在面对电力数据规模庞大、共享请求多样和数据隐私性强等特点时存在的可扩展性和安全性不足等问题,提出一种安全高效的电力数据共享平台构建方法,简称Powsharing。首先,遵循高内聚、低耦合的功能划分原则,设计一种基于多预言机协作的数据共享模型,通过可垂直切分的分布式预言机结构,实现功能与性能同步扩展;然后,针对潜在的安全风险(如隐私泄露、降质攻击和假冒攻击等),设计一种安全的电力数据共享协议,利用CKKS同态加密、ECDSA签名、实体信任度评估等技术,有效保障系统的安全性。通过理论分析和实验验证,所提方案相比其他类似方案具有显著优势,在保护数据隐私的同时能够将共享效率至少提升了15%。
When taking the diversity of power data sharing
the privacy of power data and the large scale of power data into consideration
the existing data sharing platforms would suffer the following disadvantages: the low scalability and the poor security. For this reason
a secure and efficient power data sharing platform construction approach termed Powsharing was proposed. Firstly
a data sharing model based on collaborative multi-blockchain oracles was designed. To support both functional and performance scalability
a vertical division-based distributed oracle architecture was adopted
which followed the principle of high cohesion and low coupling. Next
to mitigate potential security threats in Powsharing (e.g.
privacy leakage
degradation attack and spoofing attack)
a secure data sharing protocol was developed
incorporating CKKS homomorphic encryption
ECDSA
and trust evaluation mechanisms. The rigorous theoretical analysis and extensive experimental verifications demonstrate that Powsharing significantly outperforms the prior works in terms of the efficiency and security. Specifically
Powsharing can achieve increased sharing efficiency (by about 15%) in comparison to prior work
without leaking the data privacy.
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