publications

2022

1. CCgen: Injecting Covert Channels into Network Traffic

   Félix Iglesias Vázquez, Fares Meghdouri, Robert Annessi, and Tanja Zseby

   Security and Communication Networks 2022

   Bib HTML

   @article{iglesias2022ccgen,
     title = {CCgen: Injecting Covert Channels into Network Traffic},
     author = {V{\'a}zquez, F{\'e}lix Iglesias and Meghdouri, Fares and Annessi, Robert and Zseby, Tanja},
     journal = {Security and Communication Networks},
     volume = {2022},
     year = {2022},
     publisher = {Hindawi},
   }

2. Modeling data with observers

   Fares Meghdouri, Félix Iglesias Vázquez, and Tanja Zseby

   Intelligent Data Analysis 2022

   Bib HTML

   @article{meghdouri2022modeling,
     title = {Modeling data with observers},
     author = {Meghdouri, Fares and V{\'a}zquez, F{\'e}lix Iglesias and Zseby, Tanja},
     journal = {Intelligent Data Analysis},
     volume = {26},
     number = {3},
     pages = {785--803},
     year = {2022},
     publisher = {IOS Press},
   }

2021

1. Shedding Light in the Tunnel: Counting Flows in Encrypted Network Traffic

   Fares Meghdouri, Félix Iglesias Vázquez, and Tanja Zseby

   In 2021 International Conference on Data Mining Workshops (ICDMW) 2021

   Bib HTML

   @inproceedings{meghdouri2021shedding,
     title = {Shedding Light in the Tunnel: Counting Flows in Encrypted Network Traffic},
     author = {Meghdouri, Fares and V{\'a}zquez, F{\'e}lix Iglesias and Zseby, Tanja},
     booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
     pages = {798--804},
     year = {2021},
     organization = {IEEE},
   }

2. Controllable Network Data Balancing With GANs

   Fares Meghdouri, Thomas Schmied, Thomas Gärtner, and Tanja Zseby

   In NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications 2021

   Bib HTML

   @inproceedings{meghdouri2021controllable,
     title = {Controllable Network Data Balancing With GANs},
     author = {Meghdouri, Fares and Schmied, Thomas and G{\"a}rtner, Thomas and Zseby, Tanja},
     booktitle = {NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications},
     year = {2021},
   }

3. SecTULab: A Moodle-Integrated Secure Remote Access Architecture for Cyber Security Laboratories

   Joachim Fabini, Alexander Hartl, Fares Meghdouri, Claudia Breitenfellner, and Tanja Zseby

   In The 16th International Conference on Availability, Reliability and Security 2021

   Bib HTML

   @inproceedings{fabini2021sectulab,
     title = {SecTULab: A Moodle-Integrated Secure Remote Access Architecture for Cyber Security Laboratories},
     author = {Fabini, Joachim and Hartl, Alexander and Meghdouri, Fares and Breitenfellner, Claudia and Zseby, Tanja},
     booktitle = {The 16th International Conference on Availability, Reliability and Security},
     pages = {1--11},
     year = {2021},
   }

2020

1. Anomaly Detection for Mixed Packet Sequences

   Fares Meghdouri, Félix Iglesias Vázquez, and Tanja Zseby

   In 2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium) 2020

   Bib HTML

   @inproceedings{meghdouri2020anomaly,
     title = {Anomaly Detection for Mixed Packet Sequences},
     author = {Meghdouri, Fares and V{\'a}zquez, F{\'e}lix Iglesias and Zseby, Tanja},
     booktitle = {2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium)},
     pages = {120--130},
     year = {2020},
     organization = {IEEE},
   }

2. Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection

   Fares Meghdouri, Félix Iglesias Vázquez, and Tanja Zseby

   In 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA) 2020

   Bib HTML

   @inproceedings{meghdouri2020cross,
     title = {Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection},
     author = {Meghdouri, Fares and V{\'a}zquez, F{\'e}lix Iglesias and Zseby, Tanja},
     booktitle = {2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)},
     pages = {469--478},
     year = {2020},
     organization = {IEEE},
   }

3. Eagernet: Early predictions of neural networks for computationally efficient intrusion detection

   Fares Meghdouri, Maximilian Bachl, and Tanja Zseby

   In 2020 4th Cyber Security in Networking Conference (CSNet) 2020

   Bib HTML

   @inproceedings{meghdouri2020eagernet,
     title = {Eagernet: Early predictions of neural networks for computationally efficient intrusion detection},
     author = {Meghdouri, Fares and Bachl, Maximilian and Zseby, Tanja},
     booktitle = {2020 4th Cyber Security in Networking Conference (CSNet)},
     pages = {1--7},
     year = {2020},
     organization = {IEEE},
   }

4. Sparseids: Learning packet sampling with reinforcement learning

   Maximilian Bachl, Fares Meghdouri, Joachim Fabini, and Tanja Zseby

   In 2020 IEEE Conference on Communications and Network Security (CNS) 2020

   Bib HTML

   @inproceedings{bachl2020sparseids,
     title = {Sparseids: Learning packet sampling with reinforcement learning},
     author = {Bachl, Maximilian and Meghdouri, Fares and Fabini, Joachim and Zseby, Tanja},
     booktitle = {2020 IEEE Conference on Communications and Network Security (CNS)},
     pages = {1--9},
     year = {2020},
     organization = {IEEE},
   }

2019

2018

1. Analysis of lightweight feature vectors for attack detection in network traffic

   Fares Meghdouri, Tanja Zseby, and Félix Iglesias Vázquez

   Applied Sciences 2018

   Bib HTML

   @article{meghdouri2018analysis,
     title = {Analysis of lightweight feature vectors for attack detection in network traffic},
     author = {Meghdouri, Fares and Zseby, Tanja and V{\'a}zquez, F{\'e}lix Iglesias},
     journal = {Applied Sciences},
     volume = {8},
     number = {11},
     pages = {2196},
     year = {2018},
     publisher = {MDPI},
   }