Looking for Signals: A Systems Security Perspective
Christopher Kruegel · 2022
Over the last 20 years, my students and I have built systems that look for signals of malice in large datasets. These datasets include network traffic, program code, web transactions, and social media posts. For many of our detection systems, we used feature engineering to model properties of the data and then leveraged different types of machine learning to find outliers or to build classifiers that could recognize unwanted inputs. In this presentation, I will cover three recent works that go beyond that basic approach.