Big data security risk control model based on federated learning algorithm

XiaoPing Zhao; ZhengXiong Mao; Hui Li; ZuYuan Huang; Yuan Tian; Hang Zhang

doi:10.1117/12.2667865

8 March 2023 Big data security risk control model based on federated learning algorithm

XiaoPing Zhao, ZhengXiong Mao, Hui Li, ZuYuan Huang, Yuan Tian, Hang Zhang

Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 125860S (2023) https://doi.org/10.1117/12.2667865
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China

Abstract

The distributed big data security risk control model achieves the control of big data security risk by distributed training of data feature vectors. The lack of processing of encrypted data leads to weak generalization ability. In this regard, a big data security risk control model based on federal learning algorithm is proposed. The heterogeneous data is formatted and the original data is preprocessed by data discretization and data scaling. The optimized federation learning algorithm is used to match the encrypted data, and the big data security risk control model is constructed to improve the generalization ability of the model. In the experiments, the proposed model is tested for its generalization ability. The analysis of the experimental results shows that the big data security risk control model constructed by using the proposed method has high data generalization ability.

Citation Download Citation

XiaoPing Zhao, ZhengXiong Mao, Hui Li, ZuYuan Huang, Yuan Tian, and Hang Zhang "Big data security risk control model based on federated learning algorithm", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 125860S (8 March 2023); https://doi.org/10.1117/12.2667865

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available