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

Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

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 process of identifying which records in two or more databases correspond to the same
entity is an important aspect of data quality activities such as data pre-processing and data …

A large number of cloud services require users to share private data like electronic health
records for data analysis or mining, bringing privacy concerns. Anonymizing data sets via …

Ubiquitous deployment of low-cost smart devices and widespread use of high-speed
wireless networks have led to the rapid development of the Internet of Things (IoT). IoT …

Gaining access to high-quality data is a vital necessity in knowledge-based decision
making. But data in its raw form often contains sensitive information about individuals …

Sharing healthcare data has become a vital requirement in healthcare system management;
however, inappropriate sharing and usage of healthcare data could threaten patients' …

k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In
a k-anonymous data set, any identifying information occurs in at least k tuples. Much …

k-Anonymity is a method for providing privacy protection by ensuring that data cannot be
traced to an individual. In a k-anonymous dataset, any identifying information occurs in at …