Digital Privacy: Designing Trustworthy Systems and Technologies
In this course, provided in collaboration with IEEE Digital Privacy, an IEEE Future Directions Initiative, we focus on how to engineer privacy in systems using modern tools and methods. We start with privacy engineering principles and explore various methods to design systems for privacy protection. Next, we discuss requirement management focusing on control mapping and traceability, and address system-level design by examining data flow. Finally, we discuss how the design of algorithms can affect privacy protection.
What you will learn:
- Review privacy engineering principles
- Examine threats and mitigation: LINDDUN, PriS
- Discuss requirement management: Control mapping, traceability, NIST standards, MITRES’ framework
- Review system-level design focusing on data flow
- Consider algorithmic design
This course is part of the following course program:
Protecting Privacy in the Digital Age
Courses included in this program:
Who Should Attend: Electrical Engineer, Design Engineer, Communications Systems Engineer, Product Engineer, Computer Engineer, Software Engineer, Project Engineer, Software/Security Engineer, AI/ML Engineer
Instructor
Travis Breaux
Dr. Travis Breaux is a Senior Member of IEEE and an associate professor of computer science in the Software and Societal Systems Department at Carnegie Mellon University. He is the creator of the Privacy Engineering course, included in CMU’s Masters of Privacy Engineering Degree program, and he serves as executive editor of the International Association for Privacy Professionals textbook used in the IAPP Certified Information Privacy Technologist (CIPT) program. Finally, Dr. Breaux has co-led several award-winning privacy security research projects focused on studying new ways to align privacy law, organizational policy and software engineering design, using formal methods, as well as static and dynamic code analysis.
Publication Year: 2023
ISBN: 978-1-7281-7823-3