Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning. - Miguel León Ortiz; Tijana Markovic; Sasikumar Punnekkat (GECCO Companion, 2022)

Software package for regression algorithms based on Gaussian Conditional Random Fields. - Tijana Markovic; Vladan Devedzic; Fang Zhou; Zoran Obradovic (ICMLA, 2022)

Simulation Environment for Modular Automation Systems. - Björn Leander; Tijana Markovic; Aida Causevic; Tomas Lindström; Hans Hansson; Sasikumar Punnekkat (IECON, 2022)

Random Forest Based on Federated Learning for Intrusion Detection. - Tijana Markovic; Miguel Leon 001; David Buffoni; Sasikumar Punnekkat (AIAI (1), 2022)

Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. - Miguel Leon 001; Tijana Markovic; Sasikumar Punnekkat (IJCNN, 2022)

MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors. - Tijana Markovic; Miguel Leon 001; Björn Leander; Sasikumar Punnekkat (IEEE DataPort, 2022)

Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems. - Tijana Markovic; Alireza Dehlaghi-Ghadim; Miguel Leon 001; Ali Balador; Sasikumar Punnekkat (FedCSIS, 2023)

Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data. - Miguel León Ortiz; Tijana Markovic; Sasikumar Punnekkat (GECCO Companion, 2023)

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. - Alireza Dehlaghi-Ghadim; Tijana Markovic; Miguel Leon 001; David Söderman; Per Erik Strandberg (ICMLA, 2023)

Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems. - Björn Leander; Tijana Markovic; Miguel Leon 001 (IECON, 2023)

An Authorization Service supporting Dynamic Access Control in Manufacturing Systems. - Ivan Radonjic; Enna Basic; Björn Leander; Tijana Markovic (WF-IoT, 2023)

A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems. - Tijana Markovic; Miguel Leon 001; Björn Leander; Sasikumar Punnekkat (IEEE Access, 2023)

Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data. - Tijana Markovic; Sara Moricz; Miguel Leon 001 (ICMLA, 2024)

Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices. - Pontus Lidholm; Tijana Markovic; Miguel Leon 001; Per Erik Strandberg (IJCNN, 2024)

Random forest with differential privacy in federated learning framework for network attack detection and classification. - Tijana Markovic; Miguel León Ortiz; David Buffoni; Sasikumar Punnekkat (Appl. Intell., 2024)

Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices. - Tijana Markovic; Pontus Lidholm; Per Erik Strandberg; Miguel Leon 001 (GECCO, 2025)