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公开(公告)号：US11528283B2
公开(公告)日：2022-12-13
申请号：US16899190
申请日：2020-06-11
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: H04L29/06 , H04L12/26 , H04L9/40 , H04L43/04 , H04L43/0894 , 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.
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公开(公告)号：US20200112494A1
公开(公告)日：2020-04-09
申请号：US16707756
申请日：2019-12-09
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Abhishek Ranjan Singh , Omid Madani , Vimalkumar Jeyakumar , Ellen Christine Scheib , Navindra Yadav , Mohammadreza Alizadeh Attar
IPC: H04L12/26 , H04L29/06 , G06F9/455 , G06N20/00 , G06F16/29 , G06F16/248 , G06F16/28 , G06F16/9535 , G06F16/2457 , G06F21/55 , G06F21/56 , H04L12/851 , H04L12/24 , H04W84/18 , H04L29/08 , G06F21/53 , H04L12/723 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , H04L9/32 , H04J3/06 , H04J3/14 , H04L29/12 , H04L12/813 , H04L12/823 , H04L12/801 , H04L12/741 , H04L12/833 , H04L12/721 , G06F3/0482 , G06T11/20 , H04L12/841 , H04L12/725 , H04L12/715 , G06F16/16 , G06F16/17 , G06F16/11 , G06F16/13 , G06N99/00 , G06F16/174 , G06F16/23
Abstract: Systems, methods, and computer-readable media are provided for determining whether a node in a network is a server or a client. In some examples, a system can collect, from one or more sensors that monitor at least part of data traffic being transmitted via a pair of nodes in a network, information of the data traffic. The system can analyze attributes of the data traffic such as timing, port magnitude, degree of communication, historical data, etc. Based on analysis results and a predetermined rule associated with the attributes, the system can determine which node of the pair of nodes is a client and which node is a server.
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公开(公告)号：US10305757B2
公开(公告)日：2019-05-28
申请号：US15132086
申请日：2016-04-18
Applicant: Cisco Technology, Inc.
Inventor： Navindra Yadav , Supreeth Hosur Nagesh Rao , Ashutosh Kulshreshtha , Omid Madani , Jackson Ngoc Ki Pang , Khawar Deen , Ellen Christine Scheib
IPC: H04L12/26 , H04L29/06 , H04L12/813 , H04L12/841 , H04L9/32 , H04L9/08 , H04L12/721 , H04L29/08 , H04L12/24 , H04L12/851 , H04L12/725 , H04L12/823 , H04L29/12 , H04L12/723 , H04L12/833 , H04L12/715 , H04L12/801 , H04J3/06 , G06F21/56 , G06F21/55 , G06F3/0484 , G06F3/0482 , G06F9/455 , G06T11/20 , G06N20/00 , G06F16/29 , G06F16/248 , G06F16/28 , G06F16/9535 , G06F16/2457 , G06F17/30 , H04W84/18 , G06N99/00 , G06F21/53 , H04L1/24 , H04W72/08 , H04J3/14 , H04L12/741
Abstract: An example method can include monitoring a network to identify flows between nodes in the network. Once flows have been identified, the flows can be tagged and labelled according to the type of traffic they represent. If a flow represents malicious or otherwise undesirable traffic, it can be tagged accordingly. A request can then be made for a reputation score of an entity which can identify one or more nodes of the network.
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公开(公告)号：US20160359705A1
公开(公告)日：2016-12-08
申请号：US15174032
申请日：2016-06-06
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Mohammadreza Alizadeh Attar , Omid Madani , Vimalkumar Jeyakumar , Ellen Christine Scheib , Navindra Yadav
CPC classification number: H04L43/045 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F9/45558 , G06F17/30241 , G06F17/3053 , G06F17/30554 , G06F17/30598 , G06F17/30604 , G06F17/30867 , 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 , G06N99/005 , 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: Application dependency mapping can be automated in a network. The network can capture traffic data for flows passing through the network using a sensor network that provides multiple perspectives for the traffic. The network can analyze the traffic data to identify endpoints of the network. The network can also identify particular network configurations from the traffic data, such as a load balancing schema or a subnetting schema. The network can partition the endpoints based on the network configuration(s) and perform similarity measurements of endpoints in each partition to determine clusters of each partition. The clusters can make up nodes of an application dependency map, and relationships between and among the clusters can make up edges of the application dependency map.
Abstract translation: 应用程序依赖关系映射可以在网络中自动化。 该网络可以捕获通过网络的流量的流量数据，该传感器网络为流量提供多个视角。 网络可以分析流量数据以识别网络的端点。 网络还可以从流量数据识别特定的网络配置，例如负载平衡模式或子网模式。 网络可以基于网络配置对端点进行分区，并对每个分区中的端点进行相似度测量，以确定每个分区的集群。 集群可以构成应用程序依赖关系映射的节点，并且集群之间和之间的关系可以构成应用程序依赖关系映射的边。
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公开(公告)号：US20240283800A1
公开(公告)日：2024-08-22
申请号：US18652474
申请日：2024-05-01
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 Femando 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.
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Patent Agency Ranking
公开(公告)号：US11637762B2
公开(公告)日：2023-04-25
申请号：US17110100
申请日：2020-12-02
Applicant: Cisco Technology, Inc.
Inventor： Ellen Christine Scheib , Ali Parandehgheibi , Omid Madani , Vimalkumar Jeyakumar , Navindra Yadav , Mohammadreza Alizadeh Attar
IPC: H04L43/045 , G06F3/0482 , H04L41/046 , 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 , 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 , G06T11/20 , H04L43/02 , H04L47/28 , H04L69/16 , H04L45/302 , H04L67/50
Abstract: Systems and methods are provided for automatically discovering applications/clusters in a network and mapping dependencies between the applications/clusters. A network monitoring system can capture network flow data using sensors executing on physical and/or virtual servers of the network and sensors executing on networking devices connected to the servers. The system can determine a graph including nodes, representing at least the servers, and edges, between pairs of the nodes of the graph indicating the network flow data includes one or more observed flows between pairs of the servers represented by the pairs of the nodes. The system can determine a dependency map, including representations of clusters of the servers and representations of dependencies between the clusters, based on the graph. The system can display a first representation of a first cluster of the dependency map and information indicating a confidence level of identifying the first cluster.
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公开(公告)号：US10516585B2
公开(公告)日：2019-12-24
申请号：US15140376
申请日：2016-04-27
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Omid Madani , Vimalkumar Jeyakumar , Ellen Christine Scheib , Navindra Yadav , Mohammadreza Alizadeh Attar
IPC: H04L12/24 , G06F17/30 , H04L12/26 , H04L29/06 , G06F9/455 , G06N20/00 , G06F16/29 , G06F16/248 , G06F16/28 , G06F16/9535 , G06F16/2457 , H04L12/851 , H04W84/18 , H04L29/08 , G06F21/53 , H04L12/723 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , H04L9/32 , H04J3/06 , H04J3/14 , H04L29/12 , H04L12/813 , H04L12/823 , H04L12/801 , H04L12/741 , H04L12/833 , H04L12/721 , G06F3/0482 , G06T11/20 , H04L12/841 , H04L12/725 , H04L12/715 , G06F21/55 , G06F21/56 , G06F16/16 , G06F16/17 , G06F16/11 , G06F16/13 , G06N99/00 , G06F16/174 , G06F16/23
Abstract: This disclosure generally relate to a method and system for mapping network information. The present technology relates techniques that enable full-scale, dynamic network mapping of a network system. By collecting network and computing data using built-in sensors, the present technology can provide network information for system monitoring and maintenance. According to some embodiments, the present technology enables generating and displaying of network connections and data processing statistics related to numerous nodes in a network. The present technology provides useful insights and actionable knowledge for network monitoring, security, and maintenance, via intelligently summarizing and effectively displaying the complex network communications and processes of a network.
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公开(公告)号：US10230597B2
公开(公告)日：2019-03-12
申请号：US15174032
申请日：2016-06-06
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Mohammadreza Alizadeh Attar , Omid Madani , Vimalkumar Jeyakumar , Ellen Christine Scheib , Navindra Yadav
IPC: G06F15/167 , H04L12/26 , H04L29/06 , G06F9/455 , G06F17/30 , H04L12/851 , H04L12/24 , H04W84/18 , H04L29/08 , G06N99/00 , G06F21/53 , H04L12/723 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , H04L9/32 , H04J3/06 , H04J3/14 , H04L29/12 , H04L12/813 , H04L12/823 , H04L12/801 , H04L12/741 , H04L12/833 , H04L12/721 , G06F3/0482 , G06T11/20 , H04L12/841 , H04L12/725 , H04L12/715 , G06F21/55 , G06F21/56
Abstract: Application dependency mapping can be automated in a network. The network can capture traffic data for flows passing through the network using a sensor network that provides multiple perspectives for the traffic. The network can analyze the traffic data to identify endpoints of the network. The network can also identify particular network configurations from the traffic data, such as a load balancing schema or a subnetting schema. The network can partition the endpoints based on the network configuration(s) and perform similarity measurements of endpoints in each partition to determine clusters of each partition. The clusters can make up nodes of an application dependency map, and relationships between and among the clusters can make up edges of the application dependency map.
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公开(公告)号：US10177998B2
公开(公告)日：2019-01-08
申请号：US15173210
申请日：2016-06-03
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Mohammadreza Alizadeh Attar , Omid Madani , Vimalkumar Jeyakumar , Ellen Christine Scheib , Navindra Yadav
IPC: H04L12/26 , H04L29/06 , G06F9/455 , G06F17/30 , H04L12/851 , H04L12/24 , H04W84/18 , H04L29/08 , G06N99/00 , G06F21/53 , H04L12/723 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , H04L9/32 , H04J3/06 , H04J3/14 , H04L29/12 , H04L12/813 , H04L12/823 , H04L12/801 , H04L12/741 , H04L12/833 , H04L12/721 , G06F3/0482 , G06T11/20 , H04L12/841 , H04L12/725 , H04L12/715 , G06F21/55 , G06F21/56
Abstract: Flow data can be augmented with features or attributes from other domains, such as attributes from a source host and/or destination host of a flow, a process initiating the flow, and/or a process owner or user. A network can be configured to capture network or packet header attributes of a first flow and determine additional attributes of the first flow using a sensor network. The sensor network can include sensors for networking devices (e.g., routers, switches, network appliances), physical servers, hypervisors or container engines, and virtual partitions (e.g., virtual machines or containers). The network can calculate a feature vector including the packet header attributes and additional attributes to represent the first flow. The network can compare the feature vector of the first flow to respective feature vectors of other flows to determine an applicable policy, and enforce that policy for subsequent flows.
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公开(公告)号：US10142353B2
公开(公告)日：2018-11-27
申请号：US15134100
申请日：2016-04-20
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
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.
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