Location-based services (LBSs) provide enhanced functionality and convenience of
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …

Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

摘要大数据(Big Data) 已成为学术界和产业界的研究热点, 正影响着人们日常生活,
工作习惯及思考方式. 但是目前大数据在收集, 存储和使用过程中面临着诸多安全风险 …

摘要随着数据挖掘和数据发布等数据库应用的出现与发展, 如何保护隐私数据和防止敏感信息
泄露成为当前面临的重大挑战. 隐私保护技术需要在保护数据隐私的同时不影响数据应用 …

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system
and the amount of protection offered by privacy-enhancing technologies. In this way, privacy …

Many modern cities strive to integrate information technology into every aspect of city life to
create so-called smart cities. Smart cities rely on a large number of application areas and …

Over the past five years a new approach to privacy-preserving data analysis has born fruit
[13, 18, 7, 19, 5, 37, 35, 8, 32]. This approach differs from much (but not all!) of the related …

We report on the design and implementation of the Privacy Integrated Queries (PINQ)
platform for privacy-preserving data analysis. PINQ provides analysts with a programming …

The collection of digital information by governments, corporations, and individuals has
created tremendous opportunities for knowledge-and information-based decision making …

The rise of smartphones and web services made possible the large-scale collection of
personal metadata. Information about individuals' location, phone call logs, or web …