Welcome to the Cyber Analytics lab at Delft University of Technology. We perform research in Artificial Intelligence and Data Science for Cyber Security and Software Engineering. Our main aim is to get knowledge from software data and use that for analysis, anomaly detection, and classification/intrusion detection. That is why our focus is on developing learning algorithms for white-box models that can be understood by developers and security analysts, such as decision trees and state machines (or deterministic Markov models). Futhermore, we make them learn from streaming data and robust against evasion. Key topics we study are: State Machine Learning, Automated Reverse Engineering, Network Traffic Analytics, Attacker Behaviour Modelling, Attack Graph Modeling, Declarative/Optimal Machine Learning, Fuzzing/Symbolic Execution, and Adversarial Machine Learning.
Recent News
- Our student Clinton Cao got his paper “Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic” accepted at AST 2025!
- Our student Daniël Vos graduated for his PhD with cum laude! Congratulations Daniël!
- Our student Clinton Cao got awarded with the Best Demo Award for his tool CATMA at BNAIC 2024!
- Two papers from our lab (by Robert Baumgartner and Simon Dieck) have been accepted at CIAA 2024!
- Our student Azqa Nadeem graduated for her PhD! Congratulations Azqa!
- Our student Clinton Cao got his paper “CATMA: Conformance Analysis Tool For Microservice Applications” accepted at ICSE 2024!
- We successfully finalized the H2020 AssureMOSS project! Check out the public reports here.
- Our student Daniël Vos got his paper “Optimal Decision Tree Policies for Markov Decision Processes” accepted at IJCAI 2023!
- Three papers from our lab (by Bram Verboom, Robert Baumgartner, and Simon Dieck) have been accepted at ICGI 2023!
- Our lab wrote a SoK paper on XAI for cybersecurity that has been accepted at EuroS&P 2023!
- Two papers from our lab (by Azqa Nadeem and Daniël Vos) have been accepted at ECML/PKDD 2022!
- Our student Clinton Cao got his paper “Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster” accepted at IWCSEC 2022
- Our student Daniël Vos has won the Best Cybersecurity Master Thesis Award for his thesis entitled “Adversarially Robust Decision Trees Against User-Specified Threat Models” at the CSng workshop 2021.
- Our student Clinton Cao has won the Best Poster Award at the CSng workshop 2021.
- Our student Tom Catshoek together with Sicco Verwer won the LTL track of the Rigurous Examination of Reactive Systems (RERS 2020) challenge!
- We have a new twitter handle @analytics_cyber. Follow us to receive updates about our research endeavours!
- Sicco Verwer and Toon Calders have received the Test of Time Award for their paper Three naive Bayes approaches for discrimination-free classification at ECML-PKDD 2020.