The student is expected to acquire knowledge and applied skills in the following pillars of cyber security research.

Applying classical Machine Learning and Deep Learning (ML/DL) methodologies for the analysis of log data

Applying Natural Language Processing (NLP) methodologies and combining NLP Word Embedding models for malware analysis and network packet analysis

Having basic knowledge of statistics for conducting comparative data analysis, correlation analysis and linear mixed models

Adopting Task Analysis methods for the analysis of human user behavior in cyber deception settings.