Data is a valuable asset for the success of business and organizations these days, as it is
effectively utilized for decision making, risk assessment, prioritizing the goals and …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Internet of Things (IoT) has become an emerging trend in the information and engineering
industries, which is inevitable to impact our lives in various ways. The advancement of IoT as …

Data sharing is increasingly popular especially for scientific research and business fields
where large volume of datasets need to be used, but it involves data security and privacy …

Breach or lack of online privacy has become almost a commonplace of today's digital age,
mainly due to the inability of either enforcing privacy requirements or imposing strict …

Provenance information corresponds to essential metadata that describes the entities, users,
and processes involved in the history and evolution of a data object. The benefits of tracking …

Data privacy has been studied in the area of statistics (statistical disclosure control) and
computer science (privacy preserving data mining and privacy enhancing technologies) for …

This paper presents the development of a decision support system for run-time safety
management in Smart Work Environments (SWEs). Our approach consists of four main …

Organizations that collect and analyze data may wish or be mandated by regulation to justify
and explain their analysis results. At the same time, the logic that they have followed to …

Differential privacy (DP) is the state-of-the-art and rigorous notion of privacy for answering
aggregate database queries while preserving the privacy of sensitive information in the data …