Auflistung nach Autor:in "Heseding, Hauke"
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- TextdokumentReinforcement Learning-Controlled Mitigation of Volumetric DDoS Attacks(GI SICHERHEIT 2022, 2022) Heseding, HaukeThis work introduces a novel approach to combine hierarchical heavy hitter algorithms with reinforcement learning to mitigate evolving volumetric distributed denial of service attacks. The goal is to alleviate the strain on the network infrastructure through early ingress filtering based on compact filter rule sets that are evaluated by fast ternary content-addressable memory. The reinforcement learning agents task is to maintain effectiveness of established filter rules even in dynamic traffic scenarios while preserving limited memory resources. Preliminary results based on synthesized traffic scenarios modelling dynamic attack patterns indicate the feasibility of our approach.
- KonferenzbeitragTeching network softwarization with SDN Cockpit: An open ecosystem for students, network administrators and others(11. DFN-Forum Kommunikationstechnologien, 2018) Bauer, Robert; Heseding, Hauke; Dittebrandt, Addis; Zitterbart, MartinaThis paper introduces SDN Cockpit, an easy-to-use and open ecosystem for teaching network softwarization based on mininet and the Ryu controller. The ecosystem allows candidates to gain hands-on-experience with SDN in prefabricated scenarios without having to deal with potentially complex details such as traffic generation. It provides useful tooling for instructors and automated evaluation for assignments. The paper discusses the design goals, the architecture and the workflow of the ecosystem. First experiments with SDN Cockpit show that the approach can improve the motivation and the learning experience of the candidates.