公开(公告)号：US20200313986A1

公开(公告)日：2020-10-01

申请号：US16846149

申请日：2020-04-10

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Mohammadreza Alizadeh Attar ,  Shashidhar Gandham ,  Jackson Ngoc Ki Pang ,  Roberto Fernando Spadaro

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: An approach for detecting anomalous flows in a network using header field entropy. This can be useful in detecting anomalous or malicious traffic that may attempt to “hide” or inject itself into legitimate flows. A malicious endpoint might attempt to send a control message in underutilized header fields or might try to inject illegitimate data into a legitimate flow. These illegitimate flows will likely demonstrate header field entropy that is higher than legitimate flows. Detecting anomalous flows using header field entropy can help detect malicious endpoints.

公开(公告)号：US10686804B2

公开(公告)日：2020-06-16

申请号：US16179027

申请日：2018-11-02

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

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：US10567247B2

公开(公告)日：2020-02-18

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 Malhorta ,  Shashidhar Gandham

IPC: G06F17/00 ,  H04L29/06 ,  H04L12/26 ,  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: 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.

公开(公告)号：US20200052984A1

公开(公告)日：2020-02-13

申请号：US16658621

申请日：2019-10-21

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 ,  G06F16/174 ,  G06F16/23 ,  G06N99/00 ,  G06F16/17 ,  G06F16/13 ,  G06F16/11 ,  G06F16/16 ,  H04L12/715 ,  H04L12/725 ,  H04L29/08 ,  H04L29/06 ,  H04L12/841 ,  G06T11/20 ,  G06F3/0482 ,  H04L12/721 ,  H04L12/833 ,  H04L12/24 ,  H04L12/851 ,  H04L12/741 ,  H04L12/801 ,  H04L12/823 ,  H04L12/813 ,  H04L29/12 ,  H04J3/14 ,  H04J3/06 ,  H04L9/32 ,  H04L9/08 ,  H04W72/08 ,  H04L1/24 ,  G06F3/0484 ,  H04L12/723 ,  G06F21/53 ,  H04W84/18 ,  G06F21/56 ,  G06F21/55 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/28 ,  G06F16/248 ,  G06F16/29 ,  G06N20/00 ,  G06F9/455

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：US10536357B2

公开(公告)日：2020-01-14

申请号：US15040829

申请日：2016-02-10

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 ,  H04L29/06 ,  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 non-transitory computer-readable storage media for synchronizing timestamps of a sensor report to the clock of a device. In one embodiment, the device receives a report from a sensor of a node. The report can include a network activity of the node captured by the sensor and a first timestamp relative to the clock of the node. The device can then determine a second timestamp relative to the clock of the collector indicating receipt of the report by the device and from the sensor at the node. The device can also determine a delta between the first timestamp and the second timestamp, and a communication latency associated with a communication channel between the device and the sensor. Next, the device can adjust the delta based on the communication latency, and generate a third timestamp based on the adjusted delta.

公开(公告)号：US20190182132A1

公开(公告)日：2019-06-13

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: H04L12/26 ,  G06F16/29 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/28 ,  G06F16/248 ,  G06N20/00 ,  G06F21/56 ,  G06F21/55 ,  H04L29/06 ,  H04L12/813 ,  H04L9/32 ,  H04L9/08 ,  H04L12/721 ,  G06F21/53 ,  H04L12/24 ,  H04L12/851 ,  H04L12/725 ,  H04L12/823 ,  H04L29/12 ,  H04J3/14 ,  H04J3/06 ,  H04W72/08 ,  H04L1/24 ,  H04L29/08 ,  G06F3/0484 ,  H04L12/723 ,  H04L12/833 ,  H04L12/741 ,  H04L12/801 ,  H04W84/18 ,  H04L12/715 ,  H04L12/841 ,  G06T11/20 ,  G06F3/0482 ,  G06F16/11 ,  G06F16/17 ,  G06F16/13 ,  G06N99/00 ,  G06F16/16 ,  G06F16/23 ,  G06F16/174 ,  G06F9/455

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.

公开(公告)号：US10116531B2

公开(公告)日：2018-10-30

申请号：US15170837

申请日：2016-06-01

Applicant: Cisco Technology, Inc.

Inventor： Mohammadreza Alizadeh Attar ,  Navindra Yadav ,  Abhishek Ranjan Singh ,  Vimalkumar Jeyakumar ,  Shashidhar Gandham ,  Roberto Fernando Spadaro

IPC: H04L12/26 ,  H04L29/06 ,  H04L29/08 ,  H04L12/851 ,  H04L12/715 ,  H04L12/725 ,  H04L12/24 ,  H04W84/18 ,  G06F17/30 ,  G06F3/0482 ,  G06F9/455 ,  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 ,  G06T11/20 ,  H04L12/841 ,  G06F21/55 ,  G06F21/56

Abstract: Systems, methods, and computer-readable media are provided for determining a packet's round trip time (RTT) in a network. A system can receive information of a packet sent by a component of the network and further determine an expected acknowledgement (ACK) sequence number associated with the packet based upon received information of the packet. The system can receive information of a subsequent packet received by the component and determine an ACK sequence number and a receiving time of the subsequent packet. In response to determining that the ACK sequence number of the subsequent TCP packet matches the expected ACK sequence number, the system can determine a round trip time (RTT) of the packet based upon the received information of the packet and the received information of the subsequent packet.

公开(公告)号：US20160359912A1

公开(公告)日：2016-12-08

申请号：US15045205

申请日：2016-02-16

Applicant: Cisco Technology, Inc.

Inventor： Sunil Kumar Gupta ,  Navindra Yadav ,  Michael Standish Watts ,  Ali Parandehgheibi ,  Shashidhar Gandham ,  Ashutosh Kulshreshtha ,  Khawar Deen

IPC: H04L29/06 ,  H04L12/813

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: This disclosure generally relate to a method and system for network policy simulation in a distributed computing system. The present technology relates techniques that enable simulation of a new network policy with regard to its effects on the network data flow. By enabling a simulation data flow that is parallel and independent from the regular data flow, the present technology can provide optimized network security management with improved efficiency.

Abstract translation: 本公开通常涉及在分布式计算系统中用于网络策略模拟的方法和系统。 本技术涉及能够模拟关于其对网络数据流的影响的新网络策略的技术。 通过启用并行和独立于常规数据流的仿真数据流，本技术可以提供优化的网络安全管理，提高效率。

公开(公告)号：US20160359872A1

公开(公告)日：2016-12-08

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 ,  Andrew Sloane

IPC: H04L29/06 ,  H04L12/26

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

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.

Abstract translation: 示例性方法包括在整个数据中心中检测，使用传感器分组。 然后，传感器可以将数据包日志发送到各种收集器，然后可以识别和汇总数据中心中的数据流。 然后，收集器可以将流日志发送到分析模块，分析模块可以识别数据中心的状态并检测攻击。

公开(公告)号：US20160359703A1

公开(公告)日：2016-12-08

申请号：US15152293

申请日：2016-05-11

Applicant: Cisco Technology, Inc.

Inventor： Shashidhar Gandham ,  Rohit Chandra Prasad ,  Ashutosh Kulshreshtha ,  Supreeth Hosur Nagesh Rao ,  Khawar Deen ,  Navindra Yadav

IPC: H04L12/26 ,  G06F9/455 ,  H04L12/24

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: Systems, methods, and computer-readable media for determining sensor placement and topology. In some embodiments, a system can receive messages from sensors deployed around a network, each of the messages reporting a respective flow captured by a reporting sensor from the sensors. Next, the system can identify flows reported in the messages and, for each of the flows, generate a respective list of sensors that reported that flow. Based on the respective list of sensors, the system can infer a respective placement of the sensors within the network and a topology of the sensors. For example, the system can determine that a first sensor is deployed in a virtual machine, a second sensor is deployed in a hypervisor hosting the virtual machine, and a third sensor is deployed in a network device configured to route traffic associated with the hypervisor.

Abstract translation: 用于确定传感器位置和拓扑的系统，方法和计算机可读介质。 在一些实施例中，系统可以接收来自围绕网络部署的传感器的消息，每个消息报告由传感器由报告传感器捕获的相应流。 接下来，系统可以识别在消息中报告的流，并且对于每个流，生成报告该流的传感器的相应列表。 基于相应的传感器列表，系统可以推断传感器在网络内的相应位置和传感器的拓扑结构。 例如，系统可以确定第一传感器部署在虚拟机中，第二传感器部署在托管虚拟机的管理程序中，并且第三传感器部署在被配置为路由与管理程序相关联的流量的网络设备中。