Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

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

We propose the first differentially private aggregation algorithm for distributed time-series
data that offers good practical utility without any trusted server. This addresses two important …

The solutions offered to-date for end-user privacy in smart meter measurements, a well-
known challenge in the smart grid, have been tied to specific technologies such as batteries …

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 …

We study the problem of protecting privacy in the publication of location sequences.
Consider a database of trajectories, corresponding to movements of people, captured by …

The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …

Sharing real-time aggregate statistics of private data is of great value to the public to perform
data mining for understanding important phenomena, such as Influenza outbreaks and traffic …

End-user privacy in smart meter measurements is a well-known challenge in the smart grid.
The solutions offered thus far have been tied to specific technologies such as batteries or …

Data prediction is proposed in wireless sensor networks (WSNs) to extend the system
lifetime by enabling the sink to determine the data sampled, within some accuracy bounds …