计算机科学
单点故障
可验证秘密共享
计算机安全
同态加密
上传
安全性分析
信息隐私
加密
计算机网络
操作系统
集合(抽象数据类型)
程序设计语言
作者
Mochan Fan,Kailai Ji,Zhaofeng Zhang,Hongfang Yu,Gang Sun
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2023-09-15
卷期号:10 (18): 16048-16060
标识
DOI:10.1109/jiot.2023.3267112
摘要
The development of Internet of Things (IoT) makes human life more intelligent, and the interconnection of all things has become a reality. However, the surge in the number of devices and centralized management brings severe challenges to IoT, such as single point of failure, poor security, privacy leakage, and low reliability. Due to the decentralization, verifiability, and privacy protection of blockchain federated learning (BFL), some BFL schemes have been proposed to solve these problems, but bring new challenges, such as device privacy leakage and heavy security computing load. In this article, we propose a new decentralized, secure and verifiable consortium BFL privacy protection scheme, named LPBFL, which realizes lightweight computing while ensuring the privacy of the local model and data set of the device. To achieve lightweight privacy protection, LPBFL adopts the Paillier encryption and the newly designed lightweight digital signature and batch verification algorithm. Additionally, considering that devices upload invalid or even toxic local models intentionally or unintentionally, we design a device reputation selection mechanism to make BFL more efficient. Finally, the theoretical analysis proves the security of LPBFL and verifies the unforgeability of the proposed digital signature. Comprehensive comparisons and extensive experiments demonstrate that our LPBFL has significant advantages in multiple aspects.
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