Join us for our 19 March 2024 Chapter meeting featuring:
Main Presentation: "Jumping the Identity S Curve: Achieving Privacy- Preserving Identity", by Dr. Tina P Srivastava
Abstract:
There has been a great deal of promising new companies, technologies, initiatives, working groups, and specifications for decentralized or cross-domain identity in recent years. However, the current state of digital identity is still very much stuck in a centralized model that relies on devices as the primary source of trust. This means that users have to store their identity data on their devices and use usernames and passwords to access different applications and services. While the security measure aims to reduce PII honey pots, it creates many challenges to achieving the goals of fast, secure and frictionless identity for everyone. Dr. Srivastava will discuss recent breakthroughs in applied cryptography and advancements in machine learning that are enabling alternative authentication technologies and approaches to traditional honeypot models. This has enterprises rethinking their approach to identity stores and what the future of authentication looks like in a world where consumer privacy is paramount.
Bio:
Dr. Tina P. Srivastava is an MIT-trained rocket scientist, entrepreneur, technology expert, author and the inventor of more than 15 patents. Her book, Innovating in a Secret World: The Future of National Security and Global Leadership, has received many accolades since its release, and Dr. Srivastava also regularly takes the stage at major industry conferences like the Harvard Social Enterprise Conference and Advanced Cyber Security Center (ACSC) Conference. She is also an FAA-certified pilot and an instructor of MIT’s Private Pilot Ground School course. Her lecture on the fundamental knowledge and basic principles of airplane aerodynamics has garnered nearly 3 million views to date.
Dr. Srivastava is experienced in designing security technologies and bringing them to market, both in defense and commercial sectors. Dr. Srivastava served as Chief Engineer of electronic warfare programs at Raytheon, where she successfully led a $40 million advanced radio frequency program. She also founded a cybersecurity startup that was acquired by a public company and the global leader in network assurance and security, and is co-founder of Badge Inc., an identity and security company.
Dr. Srivastava’s numerous awards include the Inaugural David Wright Leadership Award for her contributions to system engineering, as well as the prestigious MIT Legacy Award for making a sustained and outstanding contribution to the MIT community. She is also actively involved with INCOSE (International Council on Systems Engineering), where she served on the Board of Directors for two terms. She co-chairs the PM-SE Integration Working Group.
Dr. Srivastava earned her PhD, SM, and SB, all from MIT.
Upcoming INCOSE Events
Artificial Intelligence for Systems Engineering - AI4SE 2020
Artificial Intelligence for Systems Engineering - AI4SE 2020
Madrid, Spain
13-14 October 2020
The Knowledge Reuse Group, INCOSE and AEIS invite submissions to AI4SE workshop, which will take place at Carlos III University of Madrid within the “Artificial Intelligence in Systems Engineering Week”.
Artificial Intelligence (AI), sometimes called machine intelligence, is intelligence “demonstrated” by machines, in contrast to the natural intelligence displayed by humans and animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chances of successfully achieving its goals. Colloquially, the term "artificial intelligence" is used to describe machines that mimic certain "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
Systems Engineering (SE) is an interdisciplinary field of engineering development and engineering management that focuses on how to design and manage complex systems throughout their life cycle. Activities such as requirements engineering, reliability management, logistics, coordination of different teams, testing and evaluation, maintainability and many other disciplines necessary for the successful development, design, implementation, and ultimate decommission of systems, become more difficult when dealing with large or complex projects.
Topics of interest:
Many of the challenges described in the previous definitions are human intensive, and could demand highly developed skills in learning, reasoning, decision making and problem solving. Therefore, Artificial Intelligence and all of its interleaved variants (machine learning, knowledge engineering, artificial reasoning, ontologies, optimization methods, etc.) are more and more relevant to systems engineering.
On the other hand, emergent Intelligent Systems like autonomous vehicles in all their facets (cars, trains, submarines, aircrafts, ships, etc.) are revolutionizing our perception of services. These systems are offering divergent ways of operations, where machines learn from their own operation and, theoretically, they improve its quality of service. Not deterministic systems propose giant challenges like how the certification should take place considering they will operate differently along its service life. How to V&V them, or even how to configure them in the case of potential accidents, ethical aspects etc.
For more information, for the workshop visit the website and see the AI4SE 2020 Call for Papers.