In this study, we focus on the problem of attack detection and mitigation with the help of recently emerging reinforcement machine learning which has already ...
In this study, we focus on the problem of attack detection and mitigation with the help of recently emerging reinforcement machine learning which has already ...
An intelligent agent is implemented which manipulates network security policies depending on the current state of the environment and is provided with an ...
The most of the surveyed work adopted and tested a solution to automatically detect the system vulnerabilities, using a SDN controller.
In this study, we focus on the problem of attack detection and mitigation with the help of recently emerging reinforcement machine learning which has already ...
Mikhail Zolotukhin, Timo Hämäläinen , Riku Immonen: Curious SDN for network attack mitigation. QRS Companion 2021: 630-635.
A curated list of resources dedicated to reinforcement learning applied to cyber security. Note that the list includes only work that uses reinforcement ...
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Oct 4, 2024 · ... In contrast to traditional networks [2], SDN can easily and flexibly configure networks, making it easier to detect and respond to attacks [ ...
Duration: 10:59
Posted: Oct 26, 2022
Posted: Oct 26, 2022
Mar 4, 2019 · Our work proposes a feasible SDN-based generic solution to mitigate modern Mirai-like DDoS attacks when and where they originate. In this way, ...