Publications
Number of publications matching the search criterion: 13
Journal article (2)
Random forest with differential privacy in federated learning framework for network attack detection and classification (Jun 2024) Tijana Markovic, Miguel Leon Ortiz, David Buffoni , Sasikumar Punnekkat Applied Intelligence (APIN)
Balancing Privacy and Performance in Federated Learning: a Systematic Literature Review on Methods and Metrics (Mar 2024) Samaneh Mohammadi, Ali Balador, Sima Sinaei, Francesco Flammini Journal of Parallel and Distributed Computing (JPDC)
Conference/Workshop Paper (10)
Using Decision Support to Fortify Industrial Control System against Cyberattacks Alireza Dehlaghi Ghadim, Lars-Göran Magnusson , Niclas Ericsson, Mats Eriksson , Mahshid Helali Moghadam, Ali Balador, Hans Hansson IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2024)
Network intrusion detection using machine learning on resource-constrained edge devices (Jul 2024) Pontus Lidholm , Tijana Markovic, Miguel Leon Ortiz, Per Erik Strandberg International Conference on Neural Networks (IJCNN 24)
Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study (Oct 2023) Kateryna Mishchenko , Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei The Eighth IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2023)
Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition (Sep 2023) Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei, Ali Balador, Ehsan Nowroozi , Francesco Flammini, Mauro Conti 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)
A Topology-specific Tight Worst-case Analysis of Strict Priority Traffic in Real-time Systems Nitin Desai, Radu Dobrin, Sasikumar Punnekkat 28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition (Aug 2023) Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC 2023)
Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition (Aug 2023) Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini 18th International Conference on Information Security Practice and Experience (ISPEC 2023)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Aug 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Per Erik Strandberg, David Söderman , Miguel Leon Ortiz International Conference on Machine Learning and Applications 23 (ICMLA'23)
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data (Jul 2023) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat Genetic and Evolutionary Computation Conference (GECCO 2023)
Digital Twin-based Intrusion Detection for Industrial Control Systems (May 2022) Seba Anna Varghese , Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi , Panos Papadimitratos 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom2022)
Report - MRTC (1)
Performance Analysis of SDN-based network management in Content Centric Networks for WSN (Apr 2022) Shunmuga Priyan Selvaraju, Ali Balador, Hossein Fotouhi, Maryam Vahabi, Mats Björkman MRTC Report, Mälardalen Real-Time Research Centre (MRTC 2022)
