| Multi-stage attack detection and signature generation with ICS honeypots E Vasilomanolakis, S Srinivasa, CG Cordero, M Mühlhäuser NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1227-1232, 2016 | 78 | 2016 |
| Analyzing flow-based anomaly intrusion detection using replicator neural networks CG Cordero, S Hauke, M Mühlhäuser, M Fischer 2016 14th Annual Conference on Privacy, Security and Trust (PST), 317-324, 2016 | 74 | 2016 |
| On generating network traffic datasets with synthetic attacks for intrusion detection CG Cordero, E Vasilomanolakis, A Wainakh, M Mühlhäuser, ... arXiv preprint arXiv:1905.00304, 2019 | 69 | 2019 |
| ID2T: A DIY dataset creation toolkit for intrusion detection systems CG Cordero, E Vasilomanolakis, N Milanov, C Koch, D Hausheer, ... 2015 IEEE Conference on Communications and Network Security (CNS), 739-740, 2015 | 46 | 2015 |
| User-level label leakage from gradients in federated learning A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ... arXiv preprint arXiv:2105.09369, 2021 | 45 | 2021 |
| Towards the creation of synthetic, yet realistic, intrusion detection datasets E Vasilomanolakis, CG Cordero, N Milanov, M Mühlhäuser NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1209-1214, 2016 | 40 | 2016 |
| Skipmon: A locality-aware collaborative intrusion detection system E Vasilomanolakis, M Krügl, CG Cordero, M Mühlhäuser, M Fischer 2015 IEEE 34th International Performance Computing and Communications …, 2015 | 32 | 2015 |
| User label leakage from gradients in federated learning A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ... arXiv preprint arXiv:2105.09369, 2021 | 31 | 2021 |
| Probe-response attacks on collaborative intrusion detection systems: Effectiveness and countermeasures E Vasilomanolakis, M Stahn, CG Cordero, M Mühlhäuser 2015 IEEE Conference on Communications and Network Security (CNS), 699-700, 2015 | 12 | 2015 |
| Community-based collaborative intrusion detection CG Cordero, E Vasilomanolakis, M Mühlhäuser, M Fischer Security and Privacy in Communication Networks: 11th EAI International …, 2015 | 12 | 2015 |
| HOLEG: A simulator for evaluating resilient energy networks based on the Holon analogy R Egert, CG Cordero, A Tundis, M Mühlhäuser 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and …, 2017 | 11 | 2017 |
| Parameter adaptation and criticality in particle swarm optimization CG Cordero arXiv preprint arXiv:1705.06966, 2017 | 10 | 2017 |
| Security perspectives for collaborative data acquisition in the internet of things V Gazis, CG Cordero, E Vasilomanolakis, P Kikiras, A Wiesmaier Internet of Things. IoT Infrastructures: First International Summit, IoT360 …, 2015 | 10 | 2015 |
| On probe-response attacks in collaborative intrusion detection systems E Vasilomanolakis, M Stahn, CG Cordero, M Mühlhäuser 2016 IEEE Conference on Communications and Network Security (CNS), 279-286, 2016 | 9 | 2016 |
| Evidence-based trust mechanism using clustering algorithms for distributed storage systems (Short Paper) G Traverso, CG Cordero, M Nojoumian, R Azarderakhsh, D Demirel, ... 2017 15th Annual Conference on Privacy, Security and Trust (PST), 277-282, 2017 | 8 | 2017 |
| Sphinx: a Colluder-Resistant Trust Mechanism for Collaborative Intrusion Detection CG Cordero, G Traverso, M Nojoumian, SM Habib, M Mühlhäuser, ... IEEE Access 6, 72427-72438, 2018 | 6 | 2018 |
| Increasing the resilience of cyber physical systems in smart grid environments using dynamic cells A Tundis, CG Cordero, R Egert, A Garro, M Mühlhäuser Proceedings of the 19th International Conference on Cyber-Physical Systems …, 2017 | 6 | 2017 |
| Improving the capabilities of distributed collaborative intrusion detection systems using machine learning CG Cordero Universitäts-und Landesbibliothek Darmstadt, 2019 | 1 | 2019 |
| Increasing the Resilience of Cyber Physical Systems in Smart Grid Environments Using a Holon-based Analogy A Tundis, CG Cordero, R Egert, A Garro, M Mühlhäuser | | |
Max MühlhäuserProfessor of Computer Science, Technische Universität Darmstadt在 informatik.tu-darmstadt.de 的电子邮件经过验证
