公开(公告)号：US20200351254A1

公开(公告)日：2020-11-05

申请号：US16605685

申请日：2018-05-01

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yongqiang Xiong ,  Chih-Yung Wang ,  Jeongseok Son

IPC: H04L29/06 ,  H04L12/66 ,  G06F9/455 ,  G06F9/50

Abstract: The present disclosure provides technical solutions related to distributed IPSec gateway. A control plane and a data plane of the IPSec gateway are divided, a plurality of gateway processing nodes may be run in the data plane to process data packets of incoming ESP/AH traffic and/or data packets of outgoing IP traffic. IKE information interaction may be handled in the control plane and the traffic may be steered on each gateway processing node in the data plane.

公开(公告)号：US11503004B2

公开(公告)日：2022-11-15

申请号：US16605685

申请日：2018-05-01

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yongqiang Xiong ,  Chih-Yung Wang ,  Jeongseok Son

IPC: H04L29/06 ,  H04L9/40 ,  G06F9/455 ,  G06F9/50 ,  H04L12/66

Abstract: The present disclosure provides technical solutions related to distributed IPSec gateway. A control plane and a data plane of the IPSec gateway are divided, a plurality of gateway processing nodes may be run in the data plane to process data packets of incoming ESP/AR traffic and/or data packets of outgoing IP traffic. IKE information interaction may be handled in the control plane and the traffic may be steered on each gateway processing node in the data plane.

公开(公告)号：US11463462B2

公开(公告)日：2022-10-04

申请号：US16442819

申请日：2019-06-17

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yang Luo ,  Peng Cheng ,  Yongqiang Xiong ,  Qian Li

IPC: H04L9/40 ,  G06N3/08 ,  G06K9/62

Abstract: The present concepts relate to identifying entities based on their behavior using machine learning models. Where an entity may be a bot or a human, the entity's requests sent to a website are used to generate a graph. The graph may be used to create an image, such that the image reflects the entity's browsing behavior. A machine learning model, which has been trained using a first training set of images that correspond to bots and a second training set of images that correspond to humans, can determine whether the entity is a bot or a human by performing an image classification.