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：US20250080436A1

公开(公告)日：2025-03-06

申请号：US18949393

申请日：2024-11-15

Applicant: Cisco Technology, Inc.

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

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: 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.

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：US20240205118A1

公开(公告)日：2024-06-20

申请号：US18593403

申请日：2024-03-01

Applicant: Cisco Technology, Inc.

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

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

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 ,  G06F21/556 ,  G06F21/566 ,  G06N20/00 ,  G06N99/00 ,  G06T11/206 ,  H04J3/0661 ,  H04J3/14 ,  H04L1/242 ,  H04L7/10 ,  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 ,  H04L63/1408 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  H04L63/1441 ,  H04L63/145 ,  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 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：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.

公开(公告)号：US10904116B2

公开(公告)日：2021-01-26

申请号：US15045202

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: 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 ,  G06T11/20 ,  H04L12/841 ,  H04L12/725 ,  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

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.

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：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：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。