Exploring Privacy Risks of Technologies using Knowledge Graphs

The RISKY project aims to enable exploration of privacy risks and its mitigations by storing information within a knowledge graph. This information consists of direct and indirect relationships between concepts associated with technologies, privacy risks, and their mitigations.
⌚ project duration: -
my role(s): Principal Investigator (PI)

Introduction

Identifying and understanding risks of technologies is a difficult task. To add to this, privacy risks are not straightforward or easy to identify and discuss. The RISKY project aims to enable exploration of privacy risks and its mitigations by storing information within a knowledge graph. This information consists of direct and indirect relationships between concepts associated with technologies, privacy risks, and their mitigations. For a more in-depth introduction to this topic, read the blog post. RISKY starts in October 2020 and is funded for 2 years until September 2022. All outcomes, deliverables, and publications of this project will be open and freely accessible.

Aims and Expected Outcomes

The primary aim and driving goal of this project is to enable stakeholders to explore privacy risks and mitigation measures. To make this possible, the project consists of implementing the following objectives. You can read more about the project's deliverables, milestones, and dissemination plan here.

  • Develop an ontology for expressing Privacy Risks and its Management
  • Build a Knowledge-graph of privacy risks and mitigation measures
  • Develop queries for retrieving relevant privacy risks and mitigations based on parameters of given scenario
  • Develop an online service for exploration of privacy risks and mitigation measures

Milestones, Deliverables, Publications, and Resources

Blog Posts

Funding Acknowledgements

RISKY has been funded under the Irish Research Council Government of Ireland Postdoctoral Fellowship award #GOIPD/2020/790 and will be conducted at the ADAPT SFI Research Centreat Trinity College Dublin. The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant #13/RC/2106.