- This event has passed so registration is closed.
Overview
Secure multi-party computation is a cryptographic technology for running a computation on the confidential inputs of two or more parties so that nobody learns the inputs of others. To simplify, it is a kind of a distributed computer that can process data without seeing it. This has applications in protecting sensitive data such as cryptographic keys, personal data or business secrets. The benefit of the technology is greatest when multiple organisation wish to collaborate, but find themselves unable to share the data.
MPC Alliance (https://www.mpcalliance.org) is an industry union of companies building key management solutions, virtual HSMs, privacy-preserving statistics, ML and AI systems for finance, healthcare and public sector. In the talk, we'll talk of the technology, its applications in security and privacy, with example use cases.
Moderator
R. Jason Cronk – President, Institute of Operational Privacy Design
With over two decades of experience in principle and trust consulting, R. Jason Cronk is a seasoned privacy engineer, developer, lawyer, author of the IAPP textbook “Strategic Privacy by Design,” Section Leader of the IAPP’s Privacy Engineering Section, and founder and president of the Institute of Operational Privacy Design, a non-profit organization of privacy professionals which seeks to define and drive the adoption of common and comprehensive standards to protect individuals’ privacy.
His knowledge and involvement reaches across the spectrum as an active member of the academic, engineering, legal and professional privacy communities and a pioneering voice in the development of privacy by design. Whether it is writing books, developing models and frameworks, or training companies and individuals alike, he is tirelessly advocating for privacy across the globe.
Speaker/s
Dan Bogdanov
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. He is a board member of the MPC Alliance, an industry organisation of companies developing and using secure multi-party computation technology
Recent On-Demand Web Conferences
ISSA Webinars and Conference series cover all the continuing education credits to maintain your cyber security certifications. (CPEs, CEUs, ECE, etc). Each hour is equal to one continuing education credit. Certificates of completion are available upon request after completion. For instructions, click here.