Statistics and Data Science for Cybersecurity

Abstract

Cybersecurity is an ever-important aspect of our interconnected world, but security defenses lag behind the adversaries who with increasing sophistication seek to disrupt cybersystems. The emergence of massively distributed systems such as the Internet of Things (IoT) has opened up new vulnerabilities that go beyond traditional protective measures such as firewalls, password protection, and single point-of-attack responses. To address these emerging vulnerabilities, data science has much to contribute, including methods of distributed statistical inference, data fusion, anomaly detection, and adversarial machine learning.