IoT Security Metrics

We cannot improve what we cannot measure (Kelvin). How does one quantify the absence of an adversary, a fault, or a weakness in a system? How can we define objective, repeatable, and reproducible metrics that evaluate the security of a network? This task is more complex at a time that the face of networking is changing by interconnecting devices such as webcameras, locks, and lights. These exciting and difficult questions are part of my work in quantitative security evaluation. I analyze data, create predictive models, and stream telemetry with modern open source tools.

Xenia Mountrouidou
Xenia Mountrouidou
Senior Security Researcher

Xenia Mountrouidou is a Senior Security Researcher at Cyber adAPT with versatile experience in academia and industry. She has over 10 years of research experience in network security, machine learning, and data analytics for computer networks. She enjoys writing Python scripts to automate boring things, finding interesting patterns with machine learning algorithms, and researching novel intrusion detection techniques. Her research interests revolve around network security, Internet of Things, intrusion detection, and machine learning.