公开(公告)号：US20200177606A1

公开(公告)日：2020-06-04

申请号：US16567435

申请日：2019-09-11

Applicant: Cisco Technology, Inc.

Inventor： Vamsidhar Valluri ,  Vinay Prabhu ,  Sarah Adelaide Evans ,  Suraj Rangaswamy

IPC: H04L29/06 ,  H04L29/12

Abstract: Systems and methods provide for synergistic domain name system DNS security updates for an enterprise network operating under a Software Defined Wide Area Network (SD-WAN). A system may be configured to collect positive and/or negative unified threat defense (UTD) results, deploy a rules-based model that, when a threat or clearance is detected across several SD-WAN edge network devices, triggers an update to a local security blacklist/whitelist, wherein the update comprises a signature, and push the update to other devices that have not yet seen the threat or clearance.

公开(公告)号：US20190036780A1

公开(公告)日：2019-01-31

申请号：US16019482

申请日：2018-06-26

Applicant: Cisco Technology, Inc.

Inventor： Sarah Adelaide Evans ,  Vinay Prabhu ,  Sandeep Bajaj

IPC: H04L12/24 ,  H04L12/26

Abstract: A method may include generating a set of instructions for a set of devices in a software-defined network (SDN) to monitor a set of characteristics. The method may further include sending the set of instructions to the set of devices in the SDN via a control plane. The method may also include receiving monitor data via the control plane from at least one device of the set of devices in the SDN. The method may include receiving an input signal to generate a data model in view of a set of input parameters. The method may further include generating the data model based on the set of input parameters and the monitor data. The method may include causing an action pertaining to the SDN in view of the data model.

公开(公告)号：US11716250B2

公开(公告)日：2023-08-01

申请号：US17580153

申请日：2022-01-20

Applicant: Cisco Technology, Inc.

Inventor： Jigar Dinesh Parekh ,  Vinay Prabhu ,  Sarah Adelaide Evans ,  Suraj Rangaswamy

IPC: H04L41/0816 ,  H04L41/0893 ,  H04L41/12 ,  H04L45/745 ,  H04L41/0895 ,  H04L41/0894 ,  H04L41/0897 ,  H04L41/122 ,  H04L41/40 ,  H04L41/0213 ,  H04L45/18

CPC classification number: H04L41/0816 ,  H04L41/0893 ,  H04L41/12 ,  H04L45/74591

Abstract: Systems, methods, and computer-readable media for scaling a source network. A system may be configured to receive a network configuration for a source network, wherein the source network comprising a plurality of nodes, receive and a scale target for a scaled network, and identify, based on the scale target, one or more selected nodes in the plurality of nodes in the source network for implementing in the scaled network. The system may further be configured to reconfigure data plane parameters and control plane parameters for each node in the one or more selected nodes.

公开(公告)号：US20220377089A1

公开(公告)日：2022-11-24

申请号：US17817724

申请日：2022-08-05

Applicant: Cisco Technology, Inc.

Inventor： Vamsidhar Valluri ,  Vinay Prabhu ,  Sarah Adelaide Evans ,  Suraj Rangaswamy

IPC: H04L9/40 ,  H04L45/00 ,  H04L61/4511

Abstract: Systems and methods provide for synergistic domain name system DNS security updates for an enterprise network operating under a Software Defined Wide Area Network (SD-WAN). A system may be configured to collect positive and/or negative unified threat defense (UTD) results, deploy a rules-based model that, when a threat or clearance is detected across several SD-WAN edge network devices, triggers an update to a local security blacklist/whitelist, wherein the update comprises a signature, and push the update to other devices that have not yet seen the threat or clearance.

公开(公告)号：US11411967B2

公开(公告)日：2022-08-09

申请号：US16567435

申请日：2019-09-11

Applicant: Cisco Technology, Inc.

Inventor： Vamsidhar Valluri ,  Vinay Prabhu ,  Sarah Adelaide Evans ,  Suraj Rangaswamy

IPC: G06F15/173 ,  H04L9/40 ,  H04L61/4511 ,  H04L45/00

Abstract: Systems and methods provide for synergistic domain name system DNS security updates for an enterprise network operating under a Software Defined Wide Area Network (SD-WAN). A system may be configured to collect positive and/or negative unified threat defense (UTD) results, deploy a rules-based model that, when a threat or clearance is detected across several SD-WAN edge network devices, triggers an update to a local security blacklist/whitelist, wherein the update comprises a signature, and push the update to other devices that have not yet seen the threat or clearance.

公开(公告)号：US20220150119A1

公开(公告)日：2022-05-12

申请号：US17580153

申请日：2022-01-20

Applicant: Cisco Technology, Inc.

Inventor： Jigar Dinesh Parekh ,  Vinay Prabhu ,  Sarah Adelaide Evans ,  Suraj Rangaswamy

IPC: H04L41/0816 ,  H04L45/745 ,  H04L41/0893 ,  H04L41/12

Abstract: Systems, methods, and computer-readable media for scaling a source network. A system may be configured to receive a network configuration for a source network, wherein the source network comprising a plurality of nodes, receive and a scale target for a scaled network, and identify, based on the scale target, one or more selected nodes in the plurality of nodes in the source network for implementing in the scaled network. The system may further be configured to reconfigure data plane parameters and control plane parameters for each node in the one or more selected nodes.

公开(公告)号：US20200382381A1

公开(公告)日：2020-12-03

申请号：US16424776

申请日：2019-05-29

Applicant: Cisco Technology, Inc.

Inventor： Vinay Prabhu ,  Sarah Adelaide Evans ,  Jigar Dinesh Parekh ,  Suraj Rangaswamy ,  Parth Sanjiv Doshi ,  Pranav Narasimmaraj ,  Ashish Shendure

IPC: H04L12/24

Abstract: Systems, methods, and computer-readable media for designing network performance and configuration include determining one or more use cases for a network to be provisioned, based on at least one or more business verticals related to a customer of the network. A data plane scale is determined from the use cases and an initial data plane scale generated using a linear regression on one or more data plane parameters. The data plane parameters include a platform type, feature set, packet size, or software version of the network. A control plane scale is determined from the use cases and an initial control plane scale generated using a linear regression on one or more control plane parameters of the network. The control plane parameters include a platform type, feature set, or software version of the network. The network is provisioned for the data plane scale and the control plane scale.