Privacy Enhancing Techniques for Digital Identity Management

Hasini T. Urala Liyanage Dona Gunasinghe, Purdue University

Abstract

Proving and verifying remotely a user’s identity information have become a critical and challenging problem in the online world, with the increased number of sensitive services offered online. The digital identity management ecosystem has been evolving over the years to address this problem. However, the limitations in existing identity management approaches in handling this problem in a privacy preserving and secure manner have caused disruptions to users’ digital lives and damages to revenue and reputation of service providers. In this dissertation, we analyze different areas of the identity management ecosystem in terms of privacy and security. In our analysis, we observe three critical aspects to take into account when identifying the privacy and security requirements to address in identity management scenarios, namely: i) protecting privacy and security of digital identity and online transactions of users; ii) providing other stakeholders with assurance about user identity information and accountability of transactions; iii) preserving utility (e.g. accuracy, efficiency and deployability). We show that existing authentication models and identity management protocols fail to address critical privacy and security requirements related to all these three aspects, mainly because of inherent conflicts among these requirements. For example, existing authentication protocols, which aim to protect service providers from imposters by involving strong authentication factors, such as biometrics, fail to protect privacy and security of users’ biometrics. Protecting an identity management system against counterfeits of identity assets, while preserving unlinkability of the transactions carried out using the identity assets, is another example of conflicting yet critical privacy and security requirements. We demonstrate that careful combinations of cryptographic techniques and other technologies make it feasible to design privacy preserving identity management protocols which address critical and conflicting requirements related to the aforementioned three aspects. Certain techniques, that we have developed for these protocols, are independent contributions with applications beyond the domain of digital identity management. We validate our contributions by providing prototype implementations, experimental evaluations and security proofs.

Degree

Ph.D.

Advisors

Bertino, Purdue University.

Subject Area

Computer science

COinS