Distributed denial of service solution using a dpu
AssigneeMellanox Technologies, Ltd.
InventorsChen Rozenbaum, Gary Mataev
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AssigneeMellanox Technologies, Ltd.
InventorsChen Rozenbaum, Gary Mataev
Estimating the term…
Apparatuses, systems, and techniques for detecting that a host device is subject to a distributed denial of service (DDoS) attack using a machine learning (ML) detection system are described. A computing system includes a data processing unit (DPU) with a network interface and a hardware-acceleration engine. The DPU hosts a hardware-accelerated security service to extract features from network data and metadata from the hardware-acceleration engine and sends the extracted features to the ML detection system. The ML detection system determines whether the host device is subject to a DDoS attack using the extracted features. The ML detection system can send an enforcement rule to the hardware-acceleration engine responsive to a determination that the host device is subject to the DDoS attack.
A system comprising:
A computing system comprising:
A method comprising:
Dependencies are inferred from the claim text.