The challenges of deploying secure computing technologies to real world users
Imagine explaining a privacy technology like homomorphic encryption or secure multi-party computation to someone. More often then not, they’ll tell you how “this technology should help everyone do everything better!” Well, turns out, that not everybody wants to be better. In this talk, we start by introducing secure computing technologies and their potential in enterprise and government use. We then look at a focus group study of the barriers of adopting such technologies based on interviews in many industries. We then continue with case study examples of legal and technical challenges inspired by our work in bringing the secure computing dream to the commercial market.
Dr. Dan Bogdanov met his first significant privacy challenges while working with the data collection systems of the Estonian Genome Center. This inspired him to start researching cryptographic solutions for privacy problems. He is the inventor of Sharemind, a secure multi- party computation system for collecting, sharing and processing private data. Sharemind is a new kind of computer that analyses digital data without seeing the individual values. This achieves beyond-the-state-of-the-art data protection, as has been demonstrated in various applications processing tax, education, genomic and financial data.
Dr. Bogdanov has been a research team lead for multiple privacy technology research projects with DARPA – an agency of the United States Department of Defense, European FP7 and Horizon 2020. He is the co-author of the ISO/IEC 29101 standard on the architecture of privacy-preserving systems and the ISO/IEC 19592 standard on secret sharing. Today, Dr. Bogdanov leads the Department of Information Security Systems at Cybernetica, an Estonian company creating information security, e-Governance and maritime security solutions.