We present TVA, a multi-party computation (MPC) system for secure analytics on secret-
shared time series data. TVA achieves strong security guarantees in the semi-honest and …

Collecting and analysing customers' data plays an essential role in the more intense market
competition. It is critical to perform data analysis effectively while ensuring the user's privacy …

Guaranteeing privacy in released data is an important goal for data-producing agencies.
There has been extensive research on developing suitable privacy mechanisms in recent …

Location data is valuable for various applications such as epidemiology, natural disasters,
and urban planning but causes exposure of sensitive information, eg, home or work place …

Complex event processing (CEP) is a powerful and increasingly more important tool to
analyse data streams for Internet of Things (IoT) applications. These data streams often …

Utility-preserving data privatization is of utmost importance for data-producing agencies. The
popular noise-addition privacy mechanism distorts autocorrelation patterns in time series …

The proliferation of WiFi access points has significantly transformed our interactions with the
digital world. However, the crowdsourced collection and dissemination of WiFi access point …

Sensor data often contain private information that requires proper protection. Most existing
privacy-preserving mechanisms (PPMs) for data streams undermine the utility of the entire …

The emergence of the Internet of Things (IoT) has evolved various application areas, such
as healthcare, smart energy management, and autonomous vehicles. These devices …

With the advancements of time series analysis and increase of concerns about big data
privacy leakage, publishing privacy protected time series has gained more and more …