University  Teaching

Graduate Courses (Computer Science)

• Applied Cryptography (Fall)
• Network and System Security (Fall)
• Critical Infrastructure Protection
• Strategic Security Management (Spring)
• Blockchain for Industrial applications (Fall)
• Machine Learning Security

Undergraduate Courses

• Information Security  Course (Spring 2019, 2020)
• Internet of Things and People Course (Fall 2019)
• Information Security for Web Applications (Fall)
• Network Security I (Autumn)

Research Supervision (Postgraduate Projects)

• Performance Analysis of COAP and MQTT  Protocols for IoT Security
• An Investigation of Slow HTTP DoS attacks on Intrusion Detection Systems https://www.diva-portal.org/smash/get/diva2:1740303/FULLTEXT02.pdf
• How to achieve GDPR Compliance through information security in Telecommunications Industry in Greece and exceptions that might be hidden in this compliance, 2021
• Security and Privacy in E-mental Health, 2021
• A Prototype Implementation for Collecting Digital Evidence from the Cloud Using Botnets for DFR Purposes, 2020
• Implementing DFR prototype in Openstack Environment for Digital Forensic Purposes,2020
• Digital Forensic Readiness for Organizations based on ISO/IEC 27043

Research Supervision (Honors Thesis)

• An information gathering botnet for private cloud environment, 2015
• Prototype for Botnet Propagation in the Cloud, 2016

Research Supervision (Bachelors Thesis)

• Linus Kulle (2020) Intrusion Attack Detection in IoT Using Machine Learning and Honeypots, ,Malmö University, Sweden

• Dahl, V., & Österlin, M. (2020). Impact of GDPR on Data Sharing Behavior of Smart Home Users.