一种基于自主计算的数字图书馆个性化服务隐私保护框架

分析数字图书馆个性化服务各个环节中存在的隐私泄露方式，提出一个基于自主计算的数字图书馆个性化服务隐私保护框架，对用户隐私泄露的各个环节采取系统的保护措施。该框架具有自主计算的自我配置、自我优化、自我修复和自我保护的特性，减轻对容纳多种隐私保护技术的系统的配置复杂性，在多变的复杂环境中具有自适应的特性。

A Privacy Preserving Model of Personalized Service of Digital Library Based on Automatic Computing

In this paper, the ways of leak of privacy information in the personalized service of the digital library are analyzed,and a privacy preserving model based on automatic computing is proposed, which prevents the leak of the users’ privacy in every aspect. The model has the characters of self-configuration, self-optimization, self-healing, self-protection, which decreases the configuration complexity of the system, and is self-adaptive in the complicated environment.