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公开(公告)号：US11102093B2
公开(公告)日：2021-08-24
申请号：US16280894
申请日：2019-02-20
Applicant: Cisco Technology, Inc.
Inventor： Sunil Kumar Gupta , Navindra Yadav , Michael Standish Watts , Ali Parandehgheibi , Shashidhar Gandham , Ashutosh Kulshreshtha , Khawar Deen
IPC: G06F21/00 , H04L12/26 , H04L29/06 , 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 , H04L12/24 , H04L12/715 , H04L12/723 , H04L29/08 , H04L12/851 , H04W84/18 , G06F21/53 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , 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
Abstract: A method provides for receiving network traffic from a host having a host IP address and operating in a data center, and analyzing a malware tracker for IP addresses of hosts having been infected by a malware to yield an analysis. When the analysis indicates that the host IP address has been used to communicate with an external host infected by the malware to yield an indication, the method includes assigning a reputation score, based on the indication, to the host. The method can further include applying a conditional policy associated with using the host based on the reputation score. The reputation score can include a reduced reputation score from a previous reputation score for the host.
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公开(公告)号：US20210144073A1
公开(公告)日：2021-05-13
申请号：US17153785
申请日：2021-01-20
Applicant: Cisco Technology, Inc.
Inventor： Sunil Kumar Gupta , Navindra Yadav , Michael Standish Watts , Ali Parandehgheibi , Shashidhar Gandham , Ashutosh Kulshreshtha , Khawar Deen
IPC: H04L12/26 , H04L29/06 , 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 , H04L12/24 , H04L12/715 , H04L12/723 , H04L29/08 , H04L12/851 , H04W84/18 , G06F21/53 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , 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
Abstract: An example method according to some embodiments includes receiving flow data for a packet traversing a network. The method continues by determining a source endpoint group and a destination endpoint group for the packet. The method continues by determining that a policy was utilized, the policy being applicable to the endpoint group. Finally, the method includes updating utilization data for the policy based on the flow data.
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公开(公告)号：US10917319B2
公开(公告)日：2021-02-09
申请号：US16443122
申请日：2019-06-17
Applicant: Cisco Technology, Inc.
Inventor： Ellen Christine Scheib , Ali Parandehgheibi , Omid Madani , Vimalkumar Jeyakumar , Navindra Yadav , Mohammadreza Alizadeh Attar
IPC: H04L12/24 , H04L12/26 , H04L29/06 , 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 , H04L12/715 , H04L12/723 , H04L29/08 , H04L12/851 , H04W84/18 , G06F21/53 , G06F3/0484 , H04L1/24 , H04W72/08 , H04L9/08 , 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
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：US10904071B2
公开(公告)日：2021-01-26
申请号：US16816604
申请日：2020-03-12
Applicant: Cisco Technology, Inc.
Inventor： Vimal Jeyakumar , Ali Parandehgheibi , Andy Sloane , Ashutosh Kulshreshtha , Navindra Yadav , Omid Madani
Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.
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公开(公告)号：US20200304523A1
公开(公告)日：2020-09-24
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
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：US10728119B2
公开(公告)日：2020-07-28
申请号：US15145493
申请日：2016-05-03
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Omid Madani , Vimalkumar Jeyakumar , Ellen Christine Scheib , Navindra Yadav , Mohammadreza Alizadeh Attar
IPC: H04L12/26 , H04L29/06 , G06F16/29 , G06F16/28 , H04L12/24 , H04L29/08 , G06F9/455 , G06N20/00 , G06F16/248 , G06F16/9535 , G06F16/2457 , G06F21/55 , G06F21/56 , H04L12/851 , H04W84/18 , 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: Application dependency mapping (ADM) can be automated in a network. The network can determine whether certain nodes form a cluster of a tier of an application. The network can monitor network data and process data for traffic passing through the network using a sensor network that provides multiple perspectives for the traffic. The network can analyze the network data and process data to determine respective feature vectors for nodes. A feature vector may represent a combination of the features corresponding to the network data and the features corresponding to the process data of a node. The network can compare the similarity of the respective feature vectors and determine each node's cluster based on similarity measures between nodes.
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公开(公告)号：US10594542B2
公开(公告)日：2020-03-17
申请号：US15796687
申请日：2017-10-27
Applicant: Cisco Technology, Inc.
Inventor： Vimal Jeyakumar , Ali Parandehgheibi , Andy Sloane , Ashutosh Kulshreshtha , Navindra Yadav , Omid Madani
Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.
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公开(公告)号：US10554501B2
公开(公告)日：2020-02-04
申请号：US15790412
申请日：2017-10-23
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Ashutosh Kulshreshtha , Michael Watts , Navindra Yadav , Vimal Jeyakumar
IPC: G06F15/173 , H04L12/24 , G06F9/48
Abstract: The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.
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公开(公告)号：US10326672B2
公开(公告)日：2019-06-18
申请号：US15145666
申请日：2016-05-03
Applicant: Cisco Technology, Inc.
Inventor： Ellen Christine Scheib , Ali Parandehgheibi , Omid Madani , Vimalkumar Jeyakumar , Navindra Yadav , Mohammadreza Alizadeh Attar
IPC: H04L12/26 , H04L29/06 , G06F9/455 , G06N20/00 , G06F16/29 , G06F16/248 , G06F16/28 , G06F16/9535 , G06F16/2457 , 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 , G06F21/55 , G06F21/56 , G06F16/16 , G06F16/17 , G06F16/11 , G06F16/13 , G06N99/00 , G06F16/174 , G06F16/23
Abstract: Application dependency mapping (ADM) can be automated in a network. The network can determine an optimum number of clusters for the network using the minimum description length principle (MDL). The network can capture network and associated data using a sensor network that provides multiple perspectives and generate a graph therefrom. The nodes of the graph can include sources, destinations, and destination ports identified in the captured data, and the edges of the graph can include observed flows from the sources to the destinations at the destination ports. Each clustering can be evaluated according to an MDL score. The optimum number of clusters for the network may correspond to the number of clusters of the clustering associated with the minimum MDL score.
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公开(公告)号：US20190132190A1
公开(公告)日：2019-05-02
申请号：US15796687
申请日：2017-10-27
Applicant: Cisco Technology, Inc.
Inventor： Vimal Jeyakumar , Ali Parandehgheibi , Andy Sloane , Ashutosh Kulshreshtha , Navindra Yadav , Omid Madani
Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.
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