DIACC works with funding agents and academic institutions around the world to develop Canadian principled international applied research opportunities. DIACC applied research proposals align with the DIACC’s Digital Identity Ecosystem Principles. DIACC community applied research proposals address the following topics:
- digital ID and authentication innovations that enable economic and societal benefit in support of Canada’s Innovation Agenda;
- opportunities and risks in the context of modernization of service delivery;
- digital authentication of people and non-person entities;
- risk based digital confirmation of identity that fosters trust;
- data application security at rest and in transit;
- access control at the point of need;
- user experience incorporating security, privacy, and informed consent;
- additional topics as identified by DIACC members.
Remote Identity Proofing Alternatives to Knowledge Based Authentication/Verification
This paper will analyze alternatives to the use of Knowledge Based Verification (KBV) in identity verification solutions. The paper will: identify candidate approaches, assess technical features, assess the relative strength against recognized standards, and determine the high level commercial viability. The paper is developed by Digidentity under an international applied research program of the Digital ID & Authentication Council of Canada (DIACC) in collaboration with Rutgers University Command, control, and Interoperability Center for Advanced Data Analytics (CCICADA). This project is funded by the U.S. Department of Homeland Security Science & Technology Directorate (DHS S&T). Any opinions contained herein are those of the author(s) and do not necessarily reflect those of DHS S&T, CCICADA, and the broader DIACC membership.
Leveraging Distributed Privacy Enhancing Technology
This paper explores current issues and opportunities in emerging identity markets, and describes the rational and technology paradigms for designing a consumer–centric, privacy-enhanced system using modern distributed architectures. This paper was developed to accompany applied research developed SecureKey under an applied research program of the Digital ID & Authentication Council of Canada (DIACC). The university partner for this research was Rutgers University Command, Control, and Interoperability Center for Advanced Data Analytics funded by the Department of Homeland Security Science & Technology Directorate.