Mark your calendars and come join your colleagues in the CAE community for the CAE Lecture Series. CAE Lecture Series are free and conducted live in real-time over MS Teams, so no travel is required. NSA’s CAE PMO office hosts the presentations via MS Teams, which employs slides, VOIP, and chat for live interaction. Download the lecture series flyer for details.
The Pedagogical Value Behind Setting Up a Virtualized Security Operations Center
Date: November 22, 2024
Time: 2:00 p.m. EST
Presenter: Dr. George Dimitoglou, Hood College
Abstract: Practical experience is an essential component of cybersecurity education. This talk examines the pedagogical benefits of setting up an open source tools Virtualized Security Operations Center (vSOC) and integrating it into a graduate cybersecurity curriculum. A vSOC allows students to immerse in simulated security environments, allowing them to develop critical skills in threat detection, incident response, and risk assessment. Virtualization enables cost-effective, scalable, and remote access, making the vSOC accessible to a broad student population.
Insights from Five Years of Robocall Research
Date: November 22, 2024
Time: 3:00 p.m. EST
Presenter: Brad Reeves, North Carolina State University
Abstract: Endless waves of deceitful robocalls have made subscribers virtually unable to use telephones. Despite the magnitude of the problem, even the most basic of questions about robocalls remained answered only by anecdotes. In this talk, we will discuss how we shed light on this problem through novel analysis techniques applied to millions of calls collected from a robocall honeypot. First, we will show how call audio can be used to identify calling campaigns, which provide a lens to study robocall calling patterns and targeting. From there, we will describe the development of a natural language processing system called SnorCall that allows us to characterize call content semantics, allowing us to see robocaller fraud tactics evolve over time. Finally, we will discuss how the work we have done can be used by providers, regulators, and other stakeholders to better understand and combat robocalls.
How to Join
Location:
Meeting ID: 222 286 279 096
Passcode: nkcLoW
Dial by Phone: 872-239-6004
Phone Conference ID: 780 557 363#
NOTE: This lecture series cannot be recorded. Students and faculty are encouraged to attend live.