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.
Central Virginia Chapter Dinner and Presentation - January 15, 2020
Fredericksburg
1 Towne Centre Boulevard
Park Lane Tavern Spotsylvania Towne Centre, 1 Towne Centre Boulevard, Fredericksburg, VA
CVA INCOSE cordially invites you to attend a dinner and presentation by:
Gordon J. Gattie. PhD
Wargaming Coordinator for
Naval Sea Systems Command Warfare Centers Mission Area
Director for Surface Warfare
Topic: What Were You Thinking? Investigating Human Judgement through Probabilistic Functionalism
Our increasingly complex environment and rapidly evolving technologies require decision makers who efficiently process multiple data streams from disparate sources while providing sound judgments. The judgment and decision-making scientific literature has significantly increased over the past two decades as sensors collect more information about the decision maker and surrounding environment, new techniques for assessing human judgment effectiveness have been developed, and increased computing power allows researchers to examine tactical-level decisions in greater detail and strategic-level decisions over longer timeframes. Decision theories are broadly classified into two categories: normative, which explains how decisions ought to be made, and descriptive, which explains how decisions actually are made. Furthermore, descriptive theories may also be predictive, such as Signal Detection Theory (Green & Swets, 1996) or Judgment Analysis (Cooksey, 1996). Within the scientific literature, various approaches to developing predictive decision theories include: comparing human behavior to an ideal model (Edwards, 1954), assessing judgments based on rationality in a complex uncertain environment (Simon, 1955), using expertise for the recognition-primed approach (Klein, 1997), considering cognitive heuristics and biases in human judgment (Kahneman, Slovic, & Tversky, 1982), and modeling human behavior using a cognitive algebra approach (Hammond, 1955). This presentation will provide an overview of the latter, and how Probabilistic Functionalism and the cognitive algebraic approach has been extensively used across domains such as law enforcement, medical diagnosis, education, and public policy development.