In the near future, the Internet of Things is expected to penetrate all aspects of the physical
world, including homes and urban spaces. In order to handle the massive amount of data …

In the last decade, we observed a constantly growing number of Location-Based Services
(LBSs) used in indoor environments, such as for targeted advertising in shopping malls or …

Fingerprinting is a commonly used technique to provide accurate localization for indoor
areas, where global navigation satellite systems, such as GPS and Galileo, cannot function …

智能手机的室内定位服务通常由第三方定位服务商提供, 其独有的隐私泄露风险已成为制约其
发展的主要因素, 如何保护定位过程中用户和数据的隐私成为一个亟待解决的重要问题 …

Cyber‐physical systems (CPSs) are expected to collect, process, and exchange data that
regularly contain sensitive information. CPSs may, for example, involve a person in the …

The increasingly connected world magnifies the threats to users' location privacy. Encryption
protocols offer solutions to privacy concerns, but they are computationally very demanding …

Secure Two-Party Computation (STC), despite being a powerful tool for privacy engineers, is
rarely used practically due to two reasons: i) STCs incur significant overheads and ii) …

In many areas such as bioinformatics, pattern recognition, and signal processing, Hidden
Markov Models (HMMs) have become an indispensable statistical tool. A fundamental …

Machine learning classification has enabled many innovative services, eg, in medicine,
biometrics, and finance. Current practices of sharing sensitive input data or classification …

Recently the number of buildings and interior spaces has increased, and many systems
have been proposed to locate people or objects in these environments. At present, several …