Cost-Efficient Scheduling for Deadline Constrained Grid Workflows. - Alireza Dehlaghi-Ghadim; Reza Entezari-Maleki; Ali Movaghar 001 (Comput. Informatics, 2018)

Digital Twin-based Intrusion Detection for Industrial Control Systems. - Seba Anna Varghese; Alireza Dehlaghi-Ghadim; Ali Balador; Zahra Alimadadi; Panos Papadimitratos (PerCom Workshops, 2022)

ICSSIM-A Framework for Building Industrial Control Systems Security Simulation Testbeds. - Alireza Dehlaghi-Ghadim; Ali Balador; Hans Hansson; Mauro Conti (CoRR, 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)

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)

Anomaly Detection Dataset for Industrial Control Systems. - Alireza Dehlaghi-Ghadim; Mahshid Helali Moghadam; Ali Balador; Hans Hansson (IEEE Access, 2023)

ICSSIM - A framework for building industrial control systems security testbeds. - Alireza Dehlaghi-Ghadim; Ali Balador; Mahshid Helali Moghadam; Hans Hansson; Mauro Conti (Comput. Ind., 2023)

Using Decision Support to Fortify Industrial Control System Against Cyberattacks. - Alireza Dehlaghi-Ghadim; Niclas Ericsson; Lars-Göran Magnusson; Mats Eriksson; Mahshid Helali Moghadam; Ali Balador; Hans Hansson (ETFA, 2024)

Enhancing Cybersecurity through Comprehensive Investigation of Data Flow-Based Attack Scenarios. - Sara Abbaspour Asadollah; Shamoona Imtiaz; Alireza Dehlaghi-Ghadim; Mikael Sjödin; Marjan Sirjani (J. Cybersecur. Priv., 2024)

Machine Learning-Driven Intrusion Detection and Identification in Industrial Control Systems. - Alireza Dehlaghi-Ghadim; Mona Moslemzade; Nima Pattiyampully Dharmapal; Niclas Ericsson; Mahshid Helali Moghadam; Ali Balador; Hans Hansson (PDP, 2025)