空军工程大学学报2026，Vol.27Issue(3)：49-61,13.DOI:10.3969/j.issn.2097-1915.2026.03.006
联邦学习双向匿名身份认证及会话密钥协商协议
A Mutual Anonymous Authentication and Session Key Agreement Protocol by Federated Learning
牟杨城 1陈爱网 1陈桂茸 1徐继明 1严晓梅 1汤巍 1段炼1
作者信息
- 1. 空军工程大学信息与导航学院,西安,710077
- 折叠
摘要
Abstract
Using federated learning as a novel distributed machine learning paradigm effectively solves problems of secure cross-domain data sharing.However,its distributed architecture makes the system be faced with various threats of privacy and security,such as model inversion and membership inference attacks.This paper proposes a lightweight federated learning protocol for bidirectional anonymous au-thentication and session key negotiation based on the Chinese remainder theorem(CRT),named FL-LCPPA.The protocol leverages CRT-based encryption to distribute valid pseudoidentities to legitimate nodes,enabling bidirectional anonymities to authenticate between server and client,and ensuring the le-gitimacy and authenticity of participants in federated learning.The protocol negotiation session key used for encrypting model parameters is accomplished by integrating elliptic curve cryptography(ECC)and hash functions,ensuring the security and reliability of communication parameters and enhancing the o-verall privacy protection of the system.The experimental result demonstrates that FL-LCPPA can resist various attacks,including replay and man-in-the-middle attacks.Only by meeting with the security needs of confidentiality,integrity,reliability,and anonymity can the computational overheads obviously reduce.The protocol comparatively balances security with efficiency,making it well-suited for federated learning scenarios.关键词
联邦学习/隐私保护/匿名认证/中国剩余定理/椭圆曲线加密Key words
federated learning/privacy protection/anonymous authentication/Chinese remainder theorem/elliptic curve cryptography分类
信息技术与安全科学引用本文复制引用
牟杨城,陈爱网,陈桂茸,徐继明,严晓梅,汤巍,段炼..联邦学习双向匿名身份认证及会话密钥协商协议[J].空军工程大学学报,2026,27(3):49-61,13.
