Main research findings
How can we protect our private data while we simultaneously want to identify ourselves, transfer money or vote via the internet? These challenges, as well as a number of others, can be solved with the help of zero-knowledge proof, where you can convince someone else that something is true without stating why it is true. As an example, you can prove that you are over 18 and can enter a bar without having to state your actual age or date of birth. Ignorant proofs have gained more attention in recent years, particularly due to applications in cryptocurrency, where one can prove that a transaction is valid without revealing who is involved in the transaction or how much money is being sent.
Ignorant evidence has a number of different characteristics, which affect how it can be used. A zero-knowledge proof is based on certain mathematical assumptions, has a certain efficiency, and is based on a certain amount of trust among those involved. This thesis studies how these properties can be improved, i.e. how to create more effective knowledge-free proofs that require less trust and are based on better mathematical assumptions.
The public defence was available on Zoom:
- Assistant Professor Chaya Ganesh, Indian Institute of Science
- Associate Research Professor Dario Fiore, IMDEA Software Institute
- Professor Sondre Rønjom, UiB
- Helger Lipmaa, UiB
- Øyvind Ytrehus, UiB
Read more at the UiBweb page.