Tijana Markovic

According to our database, Tijana Markovic authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 2024

Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices.

Pontus Lidholm, Tijana Markovic, Miguel Leon, Per Erik Strandberg

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems.

Tijana Markovic, Miguel Leon, Björn Leander, Sasikumar Punnekkat

IEEE Access, 2023

An Authorization Service supporting Dynamic Access Control in Manufacturing Systems.

Ivan Radonjic, Enna Basic, Björn Leander, Tijana Markovic

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems.

Björn Leander, Tijana Markovic, Miguel Leon

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment.

Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg

Proceedings of the International Conference on Machine Learning and Applications, 2023

Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data.

Miguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems.

Tijana Markovic, Alireza Dehlaghi-Ghadim, Miguel Leon, Ali Balador, Sasikumar Punnekkat

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors.

Tijana Markovic, Miguel Leon, Björn Leander, Sasikumar Punnekkat

Dataset, December, 2022

Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification.

Miguel Leon, Tijana Markovic, Sasikumar Punnekkat

Proceedings of the International Joint Conference on Neural Networks, 2022

Random Forest Based on Federated Learning for Intrusion Detection.

Tijana Markovic, Miguel Leon, David Buffoni, Sasikumar Punnekkat

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Simulation Environment for Modular Automation Systems.

Björn Leander, Tijana Markovic, Aida Causevic, Tomas Lindström, Hans Hansson, Sasikumar Punnekkat

Proceedings of the IECON 2022, 2022

Software package for regression algorithms based on Gaussian Conditional Random Fields.

Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning.

Miguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022