Johannes Loevenich
Orcid: 0000-0002-8149-1600Affiliations:
- Fraunhofer-Gesellschaft, Bonn, Germany
According to our database1,
Johannes Loevenich authored at least 37 papers
between 2020 and 2026.
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Bibliography
2026
FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems.
Proceedings of the 2026 ACM Sustainability Week, 2026
2025
Design and evaluation of an Autonomous Cyber Defence agent using DRL and an augmented LLM.
Comput. Networks, 2025
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025
Proceedings of the 11th IEEE International Conference on Network Softwarization, 2025
Quantifying the Impact of Poisoning Attacks in Deep Neural Networks for Attack Classification.
Proceedings of the IEEE Military Communications Conference, 2025
Formal Verification of Autonomous Cyber Defense for Abstraction of Critical Network Scenarios.
Proceedings of the IEEE Military Communications Conference, 2025
Automating Cybersecurity Risk Assessment for AI Systems in Military & Critical Infrastructure.
Proceedings of the IEEE Military Communications Conference, 2025
Proceedings of the IEEE Military Communications Conference, 2025
Proceedings of the International Conference on Military Communication and Information Systems, 2025
Automating Cyber Threat Intelligence and Attack Chain Generation using Cyber Security Knowledge Graphs and Large Language Models.
Proceedings of the International Conference on Military Communication and Information Systems, 2025
2024
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024
Proceedings of the IEEE Military Communications Conference, 2024
Training Autonomous Cyber Defense Agents: Challenges & Opportunities in Military Networks.
Proceedings of the IEEE Military Communications Conference, 2024
Hierarchical Multi-Agent Reinforcement Learning for Autonomous Cyber Defense in Coalition Networks.
Proceedings of the IEEE Military Communications Conference, 2024
BRETAGNE: Building a Reproducible and Efficient Training AI Gym for Network Environments.
Proceedings of the IEEE Military Communications Conference, 2024
Exploring the Potential of Large Language Models for Red Teaming in Military Coalition Networks.
Proceedings of the IEEE Military Communications Conference, 2024
Adaptive QoS Mechanisms for Control and Data Planes of Software-Defined Tactical Networks.
Proceedings of the International Conference on Military Communication and Information Systems, 2024
Proceedings of the International Conference on Military Communication and Information Systems, 2024
2023
IEEE Trans. Intell. Transp. Syst., October, 2023
Improving Robustness and Reducing Control Overhead via Dynamic Clustering in Tactical SDN.
Proceedings of the IEEE Military Communications Conference, 2023
Autonomous Cyber Defense Agents for NATO: Threat Analysis, Design, and Experimentation.
Proceedings of the IEEE Military Communications Conference, 2023
Proceedings of the IEEE Military Communications Conference, 2023
Mobility Prediction at the Tactical Edge: A Handover for Centralized/Decentralized Networks.
Proceedings of the International Conference on Military Communications and Information Systems, 2023
Coordinating the SDN and TDMA Planes in Software-Defined Tactical MANETs with Adaptive Coding and Modulation.
Proceedings of the International Conference on Military Communications and Information Systems, 2023
Accelerating NATO Transformation with SnTEE: Experiments with Network Security Function Virtualization in Coalition Networks.
Proceedings of the International Conference on Military Communications and Information Systems, 2023
2022
TNT: A Tactical Network Test Platform to Evaluate Military Systems Over Ever-Changing Scenarios.
IEEE Access, 2022
Towards Software-Defined Tactical Networks: Experiments and Challenges for Control Overhead.
Proceedings of the IEEE Military Communications Conference, 2022
Adversarial Attacks Against Reinforcement Learning Based Tactical Networks: A Case Study.
Proceedings of the IEEE Military Communications Conference, 2022
Proceedings of the International Conference on Military Communication and Information Systems, 2022
An Intelligent Model to Quantify the Robustness of Tactical Systems to Unplanned Link Disconnections.
Proceedings of the 18th International Conference on the Design of Reliable Communication Networks, 2022
2021
Maximizing the Probability of Message Delivery Over Ever-Changing Communication Scenarios in Tactical Networks.
IEEE Netw. Lett., 2021
A Handover Mechanism for Centralized/Decentralized Networks Over Disruptive Scenarios.
Proceedings of the 2021 IEEE Military Communications Conference, 2021
Performance Analysis of Proactive Neighbor Discovery in a Heterogeneous Tactical Network.
Proceedings of the International Conference on Military Communication and Information Systems, 2021
Proceedings of the International Conference on Military Communication and Information Systems, 2021
2020
Quantizing Radio Link Data Rates to Create Ever-Changing Network Conditions in Tactical Networks.
IEEE Access, 2020
Dynamic Adaptation of the User Data Flow to the Changing Data Rates in VHF Networks: An Exploratory Study.
Proceedings of the 11th International Conference on Network of the Future, 2020