Mohammad Reza Norouzian
Mohammad Reza Norouzian
Alumni
| E-Mail: | Mohammad Reza Norouzian |
| Zeiss Digital Innovation, Security Architect |
PGP Key
Fingerprint:
3C2D 6526 B158 2FC9 BC9A 22AB BB12 8489 C4C6 3184
Research Interests
I do research in the area of machine learning and its applications in IT security.
Topics of special interest:
- Network anomaly detection
- Intrusion detection system in industrial control systems
- Adversarial machine learning
Projects
- SPARTA - European Commission (more info)
- IUNO - Federal Ministry of Education and Research (more info)
Teaching
- Summer Semester 2021
- Intrusion Detection System (link)
- Summer Semester 2019
- Intrusion Detection System (link)
- Summer Semester 2018
- Intrusion Detection System (link)
- Summer Semester 2017
- Winter Semester 2016/17
- Anomaly Detection Challenges (link)
Supervised Work
- Anomaly Detection on Industrial Control Systems (link)
- Development of a Network Intrusion Detection Demonstrator for Industrial Control Systems (link)
- Defending Network Intrusion Detection Systems against Adversarial Machine Learning Attacks (link)
- Beyond Heuristics: Learning to Predict Vulnerability, Severity, and Exploits (link)
- Machine Learning-Based Adaptive Anomaly Detection in Smart Spaces (link)
Publications
| 2021 | Hybroid: Toward Android Malware Detectionand Categorization with Program Code and Network Traffic | |
| 2018 | Graph-based Anomaly Detection for IoT Microservices |