公开(公告)号：US20160359877A1

公开(公告)日：2016-12-08

申请号：US15145630

申请日：2016-05-03

Applicant: Cisco Technology, Inc.

Inventor： Ashutosh Kulshreshtha ,  Supreeth Hosur Nagesh Rao ,  Navindra Yadav ,  Anubhav Gupta ,  Sunil Kumar Gupta ,  Varun Sagar Malhotra ,  Shashidhar Gandham

IPC: H04L29/06 ,  H04L12/26

Abstract: An example method can include receiving a traffic report from a sensor and using the traffic report to detect intra-datacenter flows. These intra-datacenter flows can then be compared with a description of historical flows. The description of historical flows can identify characteristics of normal and malicious flows. Based on the comparison, the flows can be classified and tagged as normal, malicious, or anomalous. If the flows are tagged as malicious or anomalous, corrective action can be taken with respect to the flows. A description of the flows can then be added to the description of historical flows.

Abstract translation: 示例性方法可以包括从传感器接收流量报告并使用流量报告来检测数据库内中间流。 然后将这些数据中心内流与历史流的描述进行比较。 历史流程的描述可以识别正常和恶意流的特征。 根据比较，流量可以分类和标记为正常，恶意或异常。 如果流被标记为恶意或异常，则可以针对流量采取纠正措施。 然后可以将流量的描述添加到历史流程的描述中。

公开(公告)号：US20160359709A1

公开(公告)日：2016-12-08

申请号：US15171666

申请日：2016-06-02

Applicant: Cisco Technology, Inc.

Inventor： Khawar Deen ,  Navindra Yadav ,  Anubhav Gupta ,  Shashidhar Gandham ,  Rohit Chandra Prasad ,  Abhishek Ranjan Singh ,  Shih-Chun Chang

IPC: H04L12/26 ,  H04L29/08 ,  H04L29/12

CPC classification number: H04L43/045 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/45558 ,  G06F16/122 ,  G06F16/137 ,  G06F16/162 ,  G06F16/17 ,  G06F16/173 ,  G06F16/174 ,  G06F16/1744 ,  G06F16/1748 ,  G06F16/2322 ,  G06F16/235 ,  G06F16/2365 ,  G06F16/24578 ,  G06F16/248 ,  G06F16/285 ,  G06F16/288 ,  G06F16/29 ,  G06F16/9535 ,  G06F21/53 ,  G06F21/552 ,  G06F21/566 ,  G06F2009/4557 ,  G06F2009/45587 ,  G06F2009/45591 ,  G06F2009/45595 ,  G06F2221/033 ,  G06F2221/2101 ,  G06F2221/2105 ,  G06F2221/2111 ,  G06F2221/2115 ,  G06F2221/2145 ,  G06N20/00 ,  G06N99/00 ,  G06T11/206 ,  H04J3/0661 ,  H04J3/14 ,  H04L1/242 ,  H04L9/0866 ,  H04L9/3239 ,  H04L9/3242 ,  H04L41/046 ,  H04L41/0668 ,  H04L41/0803 ,  H04L41/0806 ,  H04L41/0816 ,  H04L41/0893 ,  H04L41/12 ,  H04L41/16 ,  H04L41/22 ,  H04L43/02 ,  H04L43/04 ,  H04L43/062 ,  H04L43/08 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0829 ,  H04L43/0841 ,  H04L43/0858 ,  H04L43/0864 ,  H04L43/0876 ,  H04L43/0882 ,  H04L43/0888 ,  H04L43/10 ,  H04L43/106 ,  H04L43/12 ,  H04L43/16 ,  H04L45/306 ,  H04L45/38 ,  H04L45/46 ,  H04L45/507 ,  H04L45/66 ,  H04L45/74 ,  H04L47/11 ,  H04L47/20 ,  H04L47/2441 ,  H04L47/2483 ,  H04L47/28 ,  H04L47/31 ,  H04L47/32 ,  H04L61/2007 ,  H04L63/0227 ,  H04L63/0263 ,  H04L63/06 ,  H04L63/0876 ,  H04L63/1408 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  H04L63/1441 ,  H04L63/145 ,  H04L63/1458 ,  H04L63/1466 ,  H04L63/16 ,  H04L63/20 ,  H04L67/10 ,  H04L67/1002 ,  H04L67/12 ,  H04L67/16 ,  H04L67/22 ,  H04L67/36 ,  H04L67/42 ,  H04L69/16 ,  H04L69/22 ,  H04W72/08 ,  H04W84/18

Abstract: Managing a network environment to identify spoofed packets is disclosed. A method includes analyzing, via a first capture agent, packets processed by a first environment in a network associated with a first host, and analyzing, via a second capture agent, packets processed by a second environment in the network associated with a second host. The method includes collecting the first data and the second data at a collector and generating a topological map of the network and a history of network activity associated with the first environment and the second environment. The method includes extracting network data from a packet and comparing the extracted network data with stored network data in the database. When the comparison indicates that the extracted network data does not match the stored network data (i.e., the reported source does not match an expected source for the packet), determining that the packet is a spoofed packet.

Abstract translation: 公开了管理网络环境以识别欺骗性分组。 一种方法包括经由第一捕获代理分析由与第一主机相关联的网络中的第一环境处理的分组，以及经由第二捕获代理分析由与第二主机相关联的网络中的第二环境处理的分组。 该方法包括在收集器处收集第一数据和第二数据，并且生成网络的拓扑图和与第一环境和第二环境相关联的网络活动的历史。 该方法包括从分组提取网络数据，并将提取的网络数据与数据库中存储的网络数据进行比较。 当比较指示提取的网络数据与存储的网络数据不匹配（即，所报告的源与分组的预期来源不匹配）时，确定分组是欺骗分组。

公开(公告)号：US12278746B2

公开(公告)日：2025-04-15

申请号：US18470406

申请日：2023-09-19

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Abhishek Ranjan Singh ,  Anubhav Gupta ,  Shashidhar Gandham ,  Jackson Ngoc Ki Pang ,  Shih-Chun Chang ,  Hai Trong Vu

IPC: H04L43/045 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/455 ,  G06F16/11 ,  G06F16/13 ,  G06F16/16 ,  G06F16/17 ,  G06F16/174 ,  G06F16/23 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/28 ,  G06F16/29 ,  G06F16/9535 ,  G06F21/53 ,  G06F21/55 ,  G06F21/56 ,  G06N20/00 ,  G06N99/00 ,  G06T11/20 ,  H04J3/06 ,  H04J3/14 ,  H04L1/24 ,  H04L7/10 ,  H04L9/08 ,  H04L9/32 ,  H04L9/40 ,  H04L41/046 ,  H04L41/0668 ,  H04L41/0803 ,  H04L41/0806 ,  H04L41/0816 ,  H04L41/0893 ,  H04L41/12 ,  H04L41/16 ,  H04L41/22 ,  H04L43/02 ,  H04L43/026 ,  H04L43/04 ,  H04L43/062 ,  H04L43/08 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0829 ,  H04L43/0852 ,  H04L43/0864 ,  H04L43/0876 ,  H04L43/0882 ,  H04L43/0888 ,  H04L43/10 ,  H04L43/106 ,  H04L43/12 ,  H04L43/16 ,  H04L45/00 ,  H04L45/302 ,  H04L45/50 ,  H04L45/74 ,  H04L47/11 ,  H04L47/20 ,  H04L47/2441 ,  H04L47/2483 ,  H04L47/28 ,  H04L47/31 ,  H04L47/32 ,  H04L61/5007 ,  H04L67/01 ,  H04L67/10 ,  H04L67/1001 ,  H04L67/12 ,  H04L67/51 ,  H04L67/75 ,  H04L69/16 ,  H04L69/22 ,  H04W72/54 ,  H04W84/18 ,  H04L67/50

Abstract: Systems, methods, and computer-readable media for updating configurations in sensors deployed in multi-layer virtualized environments. In some examples, a system can track information of sensors and collectors in the network. In response to determining that a specific collector becomes unavailable (e.g., the specific collector is down, offline or becomes unsupported), the system can determine affected sensors corresponding to the specific collector, determine a new collector among active collectors of the network for each of the affected sensors, and dynamically update configuration and settings of the affected sensors to maintain proper collector-to-sensor mappings and other settings on the affected sensors.

公开(公告)号：US20240380680A1

公开(公告)日：2024-11-14

申请号：US18429022

申请日：2024-01-31

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Abhishek Ranjan Singh ,  Anubhav Gupta ,  Shashidhar Gandham ,  Jackson Ngoc Ki Pang ,  Shih-Chun Chang ,  Hai Trong Vu

IPC: H04L43/045 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/455 ,  G06F16/11 ,  G06F16/13 ,  G06F16/16 ,  G06F16/17 ,  G06F16/174 ,  G06F16/23 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/28 ,  G06F16/29 ,  G06F16/9535 ,  G06F21/53 ,  G06F21/55 ,  G06F21/56 ,  G06N20/00 ,  G06N99/00 ,  G06T11/20 ,  H04J3/06 ,  H04J3/14 ,  H04L1/24 ,  H04L7/10 ,  H04L9/08 ,  H04L9/32 ,  H04L9/40 ,  H04L41/046 ,  H04L41/0668 ,  H04L41/0803 ,  H04L41/0806 ,  H04L41/0816 ,  H04L41/0893 ,  H04L41/12 ,  H04L41/16 ,  H04L41/22 ,  H04L43/02 ,  H04L43/026 ,  H04L43/04 ,  H04L43/062 ,  H04L43/08 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0829 ,  H04L43/0852 ,  H04L43/0864 ,  H04L43/0876 ,  H04L43/0882 ,  H04L43/0888 ,  H04L43/10 ,  H04L43/106 ,  H04L43/12 ,  H04L43/16 ,  H04L45/00 ,  H04L45/302 ,  H04L45/50 ,  H04L45/74 ,  H04L47/11 ,  H04L47/20 ,  H04L47/2441 ,  H04L47/2483 ,  H04L47/28 ,  H04L47/31 ,  H04L47/32 ,  H04L61/5007 ,  H04L67/01 ,  H04L67/10 ,  H04L67/1001 ,  H04L67/12 ,  H04L67/50 ,  H04L67/51 ,  H04L67/75 ,  H04L69/16 ,  H04L69/22 ,  H04W72/54 ,  H04W84/18

Abstract: Systems, methods, and computer-readable media for managing compromised sensors in multi-tiered virtualized environments. In some embodiments, a system can receive, from a first capturing agent deployed in a virtualization layer of a first device, data reports generated based on traffic captured by the first capturing agent. The system can also receive, from a second capturing agent deployed in a hardware layer of a second device, data reports generated based on traffic captured by the second capturing agent. Based on the data reports, the system can determine characteristics of the traffic captured by the first capturing agent and the second capturing agent. The system can then compare the characteristics to determine a multi-layer difference in traffic characteristics. Based on the multi-layer difference in traffic characteristics, the system can determine that the first capturing agent or the second capturing agent is in a faulty state.

公开(公告)号：US20240348625A1

公开(公告)日：2024-10-17

申请号：US18751871

申请日：2024-06-24

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Abhishek Ranjan Singh ,  Shashidhar Gandham ,  Ellen Christine Scheib ,  Omid Madani ,  Ali Parandehgheibi ,  Jackson Ngoc Ki Pang ,  Vimalkumar Jeyakumar ,  Michael Standish Watts ,  Hoang Viet Nguyen ,  Khawar Deen ,  Rohit Chandra Prasad ,  Sunil Kumar Gupta ,  Supreeth Hosur Nagesh Rao ,  Anubhav Gupta ,  Ashutosh Kulshreshtha ,  Roberto Fernando Spadaro ,  Hai Trong Vu ,  Varun Sagar Malhotra ,  Shih-Chun Chang ,  Bharathwaj Sankara Viswanathan ,  Fnu Rachita Agasthy ,  Duane Thomas Barlow

IPC: H04L9/40 ,  H04L43/04 ,  H04L43/062 ,  H04L43/0894

CPC classification number: H04L63/1408 ,  H04L43/04 ,  H04L43/0894 ,  H04L63/02 ,  H04L63/1425 ,  H04L43/062

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

公开(公告)号：US20240291734A1

公开(公告)日：2024-08-29

申请号：US18648889

申请日：2024-04-29

Applicant: Cisco Technology, Inc.

Inventor： Alberto Rodriguez Natal ,  Hendrikus G.P. Bosch ,  Fabio Maino ,  Lars Olaf Stefan Olofsson ,  Jeffrey Napper ,  Anubhav Gupta

IPC: H04L41/5019 ,  H04L47/10

CPC classification number: H04L41/5019 ,  H04L47/10

Abstract: Systems, methods, and computer-readable media for locally applying endpoint-specific policies to an endpoint in a network environment. A network device local to one or more endpoints in a network environment can receive from a centralized network controller one or more network-wide endpoint policies. A first endpoint of the one or more endpoints can be configured to inject policy metadata into first data traffic. Policy metadata injected into the first traffic data can be received from the first endpoint. The network device can determine one or more first endpoint-specific polices for the first endpoint by evaluation the first policy metadata with respect to the one or more network-wide endpoint policies. As follows, the one or more first endpoint-specific policies can be applied to control data traffic associated with the first endpoint.

公开(公告)号：US11902121B2

公开(公告)日：2024-02-13

申请号：US17822656

申请日：2022-08-26

Applicant: Cisco Technology, Inc.

Inventor： Khawar Deen ,  Navindra Yadav ,  Anubhav Gupta ,  Shashidhar Gandham ,  Rohit Chandra Prasad ,  Abhishek Ranjan Singh ,  Shih-Chun Chang

IPC: H04L9/40 ,  G06F16/00 ,  G06F21/60 ,  H04L43/045 ,  G06F9/455 ,  G06N20/00 ,  G06F21/55 ,  G06F21/56 ,  G06F16/28 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/29 ,  G06F16/16 ,  G06F16/17 ,  G06F16/11 ,  G06F16/13 ,  G06F16/174 ,  G06F16/23 ,  G06F16/9535 ,  G06N99/00 ,  H04L9/32 ,  H04L41/0668 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0852 ,  H04L43/106 ,  H04L45/00 ,  H04L45/50 ,  H04L67/12 ,  H04L43/026 ,  H04L61/5007 ,  H04L67/01 ,  H04L67/51 ,  H04L67/75 ,  H04L67/1001 ,  H04W72/54 ,  H04L43/062 ,  H04L43/10 ,  H04L47/2441 ,  H04L41/0893 ,  H04L43/08 ,  H04L43/04 ,  H04W84/18 ,  H04L67/10 ,  H04L41/046 ,  H04L43/0876 ,  H04L41/12 ,  H04L41/16 ,  H04L41/0816 ,  G06F21/53 ,  H04L41/22 ,  G06F3/04842 ,  G06F3/04847 ,  H04L41/0803 ,  H04L43/0829 ,  H04L43/16 ,  H04L1/24 ,  H04L9/08 ,  H04J3/06 ,  H04J3/14 ,  H04L47/20 ,  H04L47/32 ,  H04L43/0864 ,  H04L47/11 ,  H04L69/22 ,  H04L45/74 ,  H04L47/2483 ,  H04L43/0882 ,  H04L41/0806 ,  H04L43/0888 ,  H04L43/12 ,  H04L47/31 ,  G06F3/0482 ,  G06T11/20 ,  H04L43/02 ,  H04L47/28 ,  H04L69/16 ,  H04L45/302 ,  H04L67/50

CPC classification number: H04L43/045 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/45558 ,  G06F16/122 ,  G06F16/137 ,  G06F16/162 ,  G06F16/17 ,  G06F16/173 ,  G06F16/174 ,  G06F16/1744 ,  G06F16/1748 ,  G06F16/235 ,  G06F16/2322 ,  G06F16/2365 ,  G06F16/248 ,  G06F16/24578 ,  G06F16/285 ,  G06F16/288 ,  G06F16/29 ,  G06F16/9535 ,  G06F21/53 ,  G06F21/552 ,  G06F21/556 ,  G06F21/566 ,  G06N20/00 ,  G06N99/00 ,  G06T11/206 ,  H04J3/0661 ,  H04J3/14 ,  H04L1/242 ,  H04L9/0866 ,  H04L9/3239 ,  H04L9/3242 ,  H04L41/046 ,  H04L41/0668 ,  H04L41/0803 ,  H04L41/0806 ,  H04L41/0816 ,  H04L41/0893 ,  H04L41/12 ,  H04L41/16 ,  H04L41/22 ,  H04L43/02 ,  H04L43/026 ,  H04L43/04 ,  H04L43/062 ,  H04L43/08 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0829 ,  H04L43/0841 ,  H04L43/0858 ,  H04L43/0864 ,  H04L43/0876 ,  H04L43/0882 ,  H04L43/0888 ,  H04L43/10 ,  H04L43/106 ,  H04L43/12 ,  H04L43/16 ,  H04L45/306 ,  H04L45/38 ,  H04L45/46 ,  H04L45/507 ,  H04L45/66 ,  H04L45/74 ,  H04L47/11 ,  H04L47/20 ,  H04L47/2441 ,  H04L47/2483 ,  H04L47/28 ,  H04L47/31 ,  H04L47/32 ,  H04L61/5007 ,  H04L63/0227 ,  H04L63/0263 ,  H04L63/06 ,  H04L63/0876 ,  H04L63/145 ,  H04L63/1408 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  H04L63/1441 ,  H04L63/1458 ,  H04L63/1466 ,  H04L63/16 ,  H04L63/20 ,  H04L67/01 ,  H04L67/10 ,  H04L67/1001 ,  H04L67/12 ,  H04L67/51 ,  H04L67/75 ,  H04L69/16 ,  H04L69/22 ,  H04W72/54 ,  H04W84/18 ,  G06F2009/4557 ,  G06F2009/45587 ,  G06F2009/45591 ,  G06F2009/45595 ,  G06F2221/033 ,  G06F2221/2101 ,  G06F2221/2105 ,  G06F2221/2111 ,  G06F2221/2115 ,  G06F2221/2145 ,  H04L67/535

Abstract: A method includes capturing first data associated with a first packet flow originating from a first host using a first capture agent deployed at the first host to yield first flow data, capturing second data associated with a second packet flow originating from the first host from a second capture agent deployed on a second host to yield second flow data and comparing the first flow data and the second flow data to yield a difference. When the difference is above a threshold value, the method includes determining that the second packet flow was transmitted by a component that bypassed an operating stack of the first host or a packet capture agent at the device to yield a determination, detecting that hidden network traffic exists, and predicting a malware issue with the first host based on the determination.

公开(公告)号：US20230261981A1

公开(公告)日：2023-08-17

申请号：US18303493

申请日：2023-04-19

Applicant: Cisco Technology, Inc.

Inventor： Anubhav Gupta ,  Rex Fernando ,  Sanjay Kumar Hooda ,  Syam Sundar Appala ,  Samir Thoria

IPC: H04L45/302 ,  H04L12/28 ,  H04L45/74 ,  H04L47/20

CPC classification number: H04L45/302 ,  H04L12/2854 ,  H04L45/74 ,  H04L47/20

Abstract: In one embodiment, a method by an edge router configured to operate at a first site of a software-defined wide-area network includes receiving a data packet from a first host located in the first site, where the data packet is destined to a second host located in a second site, determining that an identifier of a second group to which the second host belongs is not available at the edge router, sending a request for an identifier of the second group to a network apparatus, where the request may comprise an address of the second host, receiving a response comprising the identifier of the second group from the network apparatus, determining that the second group is a destination group, applying one or more policies associated with the destination group to the data packet, and causing the data packet to be routed to the second host.

公开(公告)号：US20230123258A1

公开(公告)日：2023-04-20

申请号：US18054095

申请日：2022-11-09

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Abhishek Ranjan Singh ,  Anubhav Gupta ,  Shashidhar Gandham ,  Jackson Ngoc Ki Pang ,  Shih-Chun Chang ,  Hai Trong Vu

IPC: H04L43/045 ,  H04L9/40 ,  G06F9/455 ,  G06N20/00 ,  G06F21/55 ,  G06F21/56 ,  G06F16/28 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/29 ,  G06F16/16 ,  G06F16/17 ,  G06F16/11 ,  G06F16/13 ,  G06F16/174 ,  G06F16/23 ,  G06F16/9535 ,  G06N99/00 ,  H04L9/32 ,  H04L41/0668 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0852 ,  H04L43/106 ,  H04L45/00 ,  H04L45/50 ,  H04L67/12 ,  H04L43/026 ,  H04L61/5007 ,  H04L67/01 ,  H04L67/51 ,  H04L67/75 ,  H04L67/1001 ,  H04W72/54 ,  H04L43/062 ,  H04L43/10 ,  H04L47/2441 ,  H04L41/0893 ,  H04L43/08 ,  H04L43/04 ,  H04W84/18 ,  H04L67/10 ,  H04L41/046 ,  H04L43/0876 ,  H04L41/12 ,  H04L41/16 ,  H04L41/0816 ,  G06F21/53 ,  H04L41/22 ,  G06F3/04842 ,  G06F3/04847 ,  H04L41/0803 ,  H04L43/0829 ,  H04L43/16 ,  H04L1/24 ,  H04L9/08 ,  H04J3/06 ,  H04J3/14 ,  H04L47/20 ,  H04L47/32 ,  H04L43/0864 ,  H04L47/11 ,  H04L69/22 ,  H04L45/74 ,  H04L47/2483 ,  H04L43/0882 ,  H04L41/0806 ,  H04L43/0888 ,  H04L43/12 ,  H04L47/31 ,  G06F3/0482 ,  G06T11/20 ,  H04L43/02 ,  H04L47/28 ,  H04L69/16 ,  H04L45/302

Abstract: Systems, methods, and computer-readable media for managing compromised sensors in multi-tiered virtualized environments. In some embodiments, a system can receive, from a first capturing agent deployed in a virtualization layer of a first device, data reports generated based on traffic captured by the first capturing agent. The system can also receive, from a second capturing agent deployed in a hardware layer of a second device, data reports generated based on traffic captured by the second capturing agent. Based on the data reports, the system can determine characteristics of the traffic captured by the first capturing agent and the second capturing agent. The system can then compare the characteristics to determine a multi-layer difference in traffic characteristics. Based on the multi-layer difference in traffic characteristics, the system can determine that the first capturing agent or the second capturing agent is in a faulty state.

公开(公告)号：US20230014842A1

公开(公告)日：2023-01-19

申请号：US17935771

申请日：2022-09-27

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Jackson Ngoc Ki Pang ,  Navindra Yadav ,  Anubhav Gupta ,  Shashidhar Gandham ,  Supreeth Hosur Nagesh Rao ,  Sunil Kumar Gupta

IPC: H04L43/045 ,  H04L9/40 ,  G06F9/455 ,  G06N20/00 ,  G06F21/55 ,  G06F21/56 ,  G06F16/28 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/29 ,  G06F16/16 ,  G06F16/17 ,  G06F16/11 ,  G06F16/13 ,  G06F16/174 ,  G06F16/23 ,  G06F16/9535 ,  G06N99/00 ,  H04L9/32 ,  H04L41/0668 ,  H04L43/0805 ,  H04L43/0811 ,  H04L43/0852 ,  H04L43/106 ,  H04L45/00 ,  H04L45/50 ,  H04L67/12 ,  H04L43/026 ,  H04L61/5007 ,  H04L67/01 ,  H04L67/51 ,  H04L67/75 ,  H04L67/1001 ,  H04L43/062 ,  H04L43/10 ,  H04L47/2441 ,  H04L41/0893 ,  H04L43/08 ,  H04L43/04 ,  H04W84/18 ,  H04L67/10 ,  H04L41/046 ,  H04L43/0876 ,  H04L41/12 ,  H04L41/16 ,  H04L41/0816 ,  G06F21/53 ,  H04L41/22 ,  G06F3/04842 ,  G06F3/04847 ,  H04L41/0803 ,  H04L43/0829 ,  H04L43/16 ,  H04L1/24 ,  H04W72/08 ,  H04L9/08 ,  H04J3/06 ,  H04J3/14 ,  H04L47/20 ,  H04L47/32 ,  H04L43/0864 ,  H04L47/11 ,  H04L69/22 ,  H04L45/74 ,  H04L47/2483 ,  H04L43/0882 ,  H04L41/0806 ,  H04L43/0888 ,  H04L43/12 ,  H04L47/31 ,  G06F3/0482 ,  G06T11/20 ,  H04L43/02 ,  H04L47/28 ,  H04L69/16 ,  H04L45/302

Abstract: An approach for establishing a priority ranking for endpoints in a network. This can be useful when triaging endpoints after an endpoint becomes compromised. Ensuring that the most critical and vulnerable endpoints are triaged first can help maintain network stability and mitigate damage to endpoints in the network after an endpoint is compromised. The present technology involves determining a criticality ranking and a secondary value for a first endpoint in a datacenter. The criticality ranking and secondary value can be combined to form priority ranking for the first endpoint which can then be compared to a priority ranking for a second endpoint to determine if the first endpoint or the second endpoint should be triaged first.