CAE Forum, Dec. 1

Posted on 11/23/21 10:13 AM

Mark your calendar and come join us for CAE Forum! CAE Forum is a live, real-time, online academic forum where members of the CAE community give non-technical presentations on topics of value to the CAE community.

CAE Forum is about sharing your ideas, knowledge, and expertise to empower and strengthen our community. It's that simple. CAE Forum presentations are normally held on the third Wednesday of each month during the fall and spring semesters.

Forum flyer

Presentation 1: Kubernetes Security Attacks

Date: Wednesday, December 1, 2021

Time: 1:00-1:50 p.m. ET

Location: Zoom Meeting
Just log in as "Guest" and enter your name; no password required.

Audience: Students, professors, government

Presenter(s):  Md Shazibul Islam Shamim, Tennessee Tech University

Description:  With the rapid adoption of Kubernetes among the organizations such as IBM, Capital One,
Netflix, and government organizations like the US department of defense, Kubernetes has become one of the
fastest-growing open-source software in the history of open-source with 77% of market share in container
orchestration. However, in recent Kubernetes security incidents in Capital One, Tesla revealed that the
Kubernetes cluster could be susceptible to attack. According to the Redhat 2021 survey, 94% of IT
practitioners reported having experienced at least one security incident in the last 12 months. In this CAE
forum presentation, the presenter will discuss Kubernetes security attacks for violating security best practices
and possible mitigation strategies.

Presentation 2: Securing Big Data in the Age of Artificial Intelligence

Date: Wednesday, December 1, 2021

Time: 2:00-2:50 pm EST

Location: Zoom Meeting
Just log in as "Guest" and enter your name; no password required.

Audience: Students, professors, government

Presenter(s):  Dr. Murat Kantarcioglu, University of Texas at Dallas

Description:  Recent cyberattacks have shown that the leakage/stealing of big data may result in enormous
monetary loss and damage to organizational reputation, and increased identity theft risks for individuals.
Furthermore, in the age of big data and Artificial Intelligence (AI), protecting the security and privacy of stored
data is paramount for maintaining public trust, accountability and getting the full value from the collected
data. Therefore, we need to address security and privacy challenges ranging from allowing access to big data
to building novel AI models using the privacy sensitive data. In this talk, the presenter will provide an overview
of our end-to-end solution framework that addresses these security and privacy challenges arise in the age of
AI. In addition, we will discuss our federated learning framework that is designed to be robust against
poisoning attacks.

A recording of both presentations will be available within 48 hours of the presentation.