Decoding cybersecurity data with ML and AI
The goal of this project is to invent creative ways of deciphering cybersecurity data with ML and AI. First, exploratory data analysis is used with traditional Python libraries and Generative AI models to get insights on black box data, visualize it and tell its story. Then several traditional ML techniques for feature engineering are used to derive useful data characteristics for detecting malicious behavior. Finally, ML classification and language models are fine tuned using the generated features for detection of anomalies in network traffic.
Sep 27, 2023
