Publications

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Number of publications matching the search criterion: 14

Book chapter (1)

InSecTT technologies for the enhancement of industrial security and safety
Sasikumar Punnekkat, Tijana Markovic, Miguel Leon Ortiz, Björn Leander, Alireza Dehlaghi Ghadim, Per Erik Strandberg

Journal article (2)

The Westermo network traffic data set (Oct 2023)
Per Erik Strandberg, David Söderman , Alireza Dehlaghi Ghadim, Miquel A. Ribot , Tijana Markovic, Sasikumar Punnekkat, David Buffoni
Data In Brief 23 (DIB 23)

A modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems (Mar 2023)
Tijana Markovic, Miguel Leon Ortiz, Björn Leander, Sasikumar Punnekkat
IEEE Access (IEEE Access 2023)

Conference/Workshop Paper (11)

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Dec 2023)
Alireza Dehlaghi Ghadim, Tijana Markovic, Miguel Leon Ortiz, David Söderman , Per Erik Strandberg
International Conference on Machine Learning and Applications 23 (ICMLA'23)

Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems (Oct 2023)
Björn Leander, Tijana Markovic, Miguel Leon Ortiz
49th Conference of the IEEE Industrial Electronics Society 2023 (IECON 2023)

An Authorization Service supporting Dynamic Access Control in Manufacturing Systems (Oct 2023)
Ivan Radonjic , Enna Basic , Björn Leander, Tijana Markovic
IEEE 9th World Forum on Internet of Things 2023 (WFIoT2023)

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)

Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems (Jun 2023)
Tijana Markovic, Alireza Dehlaghi Ghadim, Miguel Leon Ortiz, Ali Balador, Sasikumar Punnekkat
18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)

Software package for regression algorithms based on Gaussian Conditional Random Fields (Dec 2022)
Tijana Markovic, Vladan Devedzic , Fang Zhou , Zoran Obradovic
International Conference on Machine Learning and Applications (ICMLA 2022)

Simulation Environment for Modular Automation Systems (Oct 2022)
Björn Leander, Tijana Markovic, Aida Causevic, Tomas Lindström , Hans Hansson, Sasikumar Punnekkat
48th Annual Conference of the Industrial Electronics Society (IECON 2022)

Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification (Jul 2022)
Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat
International Conference on Neural Network (IJCNN)

Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning (Jul 2022)
Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat
Genetic and Evolutionary Computation Conference (GECCO 2022)

Random Forest Based on Federated Learning for Intrusion Detection (Jun 2022)
Tijana Markovic, Miguel Leon Ortiz, David Buffoni , Sasikumar Punnekkat
International Converence on Artificial Intelligence Applications and innovations (AIAI 2022)

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