Application Research Of Library User Data Security Based On Privacy Computing

With the advent of the era of big data,the rapid development of the Internet has also led to related privacy disclosure issues.At present,digital libraries are gradually transforming into smart libraries,and they are also facing the same problems in their development process.The development of privacy computing technology has met the needs of libraries to protect user data privacy,while the protection of user data privacy by libraries has also promoted library data security protection to a certain extent.To explore how to apply privacy computing technology in libraries and provide reasonable suggestions for the healthy development of libraries.Taking this as a starting point,this article summarizes and analyzes various types of privacy computing technologies,discusses specific implementation methods of various privacy technologies,and conducts in-depth research on the application of various privacy computing technologies in libraries with the goal of fully protecting library user data.This article first introduces the concepts of privacy computing and related technologies,and then discusses the application of privacy computing and related technologies in libraries.Based on the research,the following conclusions are drawn:List four commonly used privacy computing technologies: federated learning and homomorphic encryption.Differential privacy,multi-party secure computing.Under these four main technologies,library user data can be fully protected.At the end of the article,it points out the existing problems of privacy computing technology,which has theoretical reference value for the development of library privacy protection in the future,and provides a new research perspective for academic research on library data security protection.