A tree-based machine learning methodology to automatically classify software vulnerabilities. - Georgios Aivatoglou; Mike Anastasiadis; Georgios Spanos; Antonis Voulgaridis; Konstantinos Votis; Dimitrios Tzovaras (CSR, 2021)

Combining text analysis techniques with unsupervised machine learning methodologies for improved software vulnerability management. - Mike Anastasiadis; Georgios Aivatoglou; Georgios Spanos; Antonis Voulgaridis; Konstantinos Votis (CSR, 2022)

Identifying Attack Propagation Threads and Root Cause in Internet-of-Vehicle Ecosystems Utilising Honeypots in Connected Autonomous Vehicles. - Christos Alexakos; Kristina Livitckaia; Mike Anastasiadis; Dimitrios Serpanos (ERCIM News, 2022)

A RAkEL-based methodology to estimate software vulnerability characteristics & score - an application to EU project ECHO. - Georgios Aivatoglou; Mike Anastasiadis; Georgios Spanos; Antonis Voulgaridis; Konstantinos Votis; Dimitrios Tzovaras; Lefteris Angelis (Multim. Tools Appl., 2022)

A Novel High-Interaction Honeypot Network for Internet of Vehicles. - Mike Anastasiadis; Konstantinos Moschou; Kristina Livitckaia; Konstantinos Votis; Dimitrios Tzovaras (MED, 2023)