Technologies for managing compromised sensors in virtualized environments
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.
1. A method comprising:
receiving, from a plurality of capturing agents deployed in a plurality of devices, data generated based on traffic at the plurality of devices, a first one of the plurality of devices including a leaf switch in a spine-leaf network fabric, and a second one of the plurality of devices includes a host of a hypervisor coupled with the spine-leaf network fabric via the leaf switch;
comparing characteristics of the data to determine a difference in the characteristics; and
based on the difference, determining a state of at least one of the plurality of capturing agents;
wherein the data is generated based on observed data, statistics, and/or metadata about one or more packets, flows, communications, processes, events, and/or activities at the plurality of devices;
wherein the determining the state includes:
determining a first traffic pattern for traffic captured during a first period of time;
determining a second traffic pattern for traffic captured during the first period of time;
determining a third traffic pattern for traffic during a second period of time before the first period of time;
determining a fourth traffic pattern for traffic during the second period of time;
comparing the first traffic pattern with the third traffic pattern to identify a first traffic pattern delta between the first traffic pattern and the third traffic pattern;
comparing the second traffic pattern with the fourth traffic pattern to identify a second traffic pattern delta between the second traffic pattern and the fourth traffic pattern;
determining whether the first traffic pattern delta or the second traffic pattern delta exceed a delta threshold;
when the first traffic pattern delta exceeds the delta threshold, determining a first one of the plurality of capturing agents is in the state; and
when the second traffic pattern delta exceeds the delta threshold, determining a second one of the plurality of capturing agents is in the state.
2. The method of claim 1 , further comprising:
determining a threshold discrepancy between a first amount of traffic captured at the host and a second amount of traffic captured at the leaf switch.
3. The method of claim 2 , wherein the determining the threshold discrepancy is at least partially a result of unauthorized activity at the first one of the plurality of devices or the second one of the plurality of devices.
4. The method of claim 3 , wherein the determining that the threshold discrepancy is at least partially the result of the unauthorized activity includes determining a faulty one of the plurality of capturing agents when the first amount of the traffic is greater than the second amount of the traffic by a threshold amount.
5. The method of claim 2 , wherein the first amount of the traffic includes a number of hits to a database residing at the hypervisor on the host.
6. The method of claim 1 , further comprising:
in response to the determining the state, increasing a time interval for receiving subsequent data from the plurality of capturing agents to reduce an amount of further data received during the state.
7. The method of claim 1 , wherein,
the data is received via a collector device, and
the method further includes:
in response to the determining the state:
dropping, by the collector device, the data; or
preventing, by the collector device, access by other devices to the data.
8. A system comprising:
one or more processors; and
one or more computer-readable storage devices having stored therein instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving, from a plurality of capturing agents deployed in a plurality of devices, data generated based on traffic at the plurality of devices, a first one of the plurality of devices including a leaf switch in a spine-leaf network fabric, and a second one of the plurality of devices includes a host of a hypervisor coupled with the spine-leaf network fabric via the leaf switch;
comparing characteristics of the data to determine a difference in the characteristics;
based on the difference, determining a state of at least one of the plurality of capturing agents;
wherein the data is generated based on observed data, statistics, and/or metadata about one or more packets, flows, communications, processes, events, and/or activities at the plurality of devices;
wherein the determining the state includes:
determining a first traffic pattern for traffic captured during a first period of time;
determining a second traffic pattern for traffic captured during the first period of time;
determining a third traffic pattern for traffic during a second period of time before the first period of time;
determining a fourth traffic pattern for traffic during the second period of time;
comparing the first traffic pattern with the third traffic pattern to identify a first traffic pattern delta between the first traffic pattern and the third traffic pattern;
comparing the second traffic pattern with the fourth traffic pattern to identify a second traffic pattern delta between the second traffic pattern and the fourth traffic pattern;
determining whether the first traffic pattern delta or the second traffic pattern delta exceed a delta threshold;
when the first traffic pattern delta exceeds the delta threshold, determining a first one of the plurality of capturing agents is in the state; and
when the second traffic pattern delta exceeds the delta threshold, determining a second one of the plurality of capturing agents is in the state.
9. The system of claim 8 , the operations further comprising:
determining a threshold discrepancy between a first amount of traffic captured at the host and a second amount of traffic captured at the leaf switch.
10. The system of claim 9 wherein the determining the threshold discrepancy is at least partially a result of unauthorized activity at the first one of the plurality of devices or the second one of the plurality of devices.
11. The system of claim 10 , wherein the determining that the threshold discrepancy is at least partially the result of the unauthorized activity includes determining a faulty one of the plurality of capturing agents when the first amount of the traffic is greater than the second amount of the traffic by a threshold amount.
12. The system of claim 9 , wherein the first amount of the traffic includes a number of hits to a database residing at the hypervisor on the host.
13. The system of claim 9 , the operations further comprising:
in response to the determining the state, increasing a time interval for receiving subsequent data from the plurality of capturing agents to reduce an amount of further data received during the state.
14. The system of claim 8 , wherein,
the data is received via a collector device, and
the operations further include:
in response to the determining the state:
dropping, by the collector device, the data; or
preventing, by the collector device, access by other devices to the data.
15. A non-transitory computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform operations comprising:
receiving, from a plurality of capturing agents deployed in a plurality of devices, data generated based on traffic at the plurality of devices, a first one of the plurality of devices including a leaf switch in a spine-leaf network fabric, and a second one of the plurality of devices includes a host of a hypervisor coupled with the spine-leaf network fabric via the leaf switch;
comparing characteristics of the data to determine a difference in the characteristics; and
based on the difference, determining a state of at least one of the plurality of capturing agents, wherein the data is generated based on observed data, statistics, and/or metadata about one or more packets, flows, communications, processes, events, and/or activities at the plurality of devices;
wherein the determining the state includes:
determining a first traffic pattern for traffic captured during a first period of time;
determining a second traffic pattern for traffic captured during the first period of time;
determining a third traffic pattern for traffic during a second period of time before the first period of time;
determining a fourth traffic pattern for traffic during the second period of time;
comparing the first traffic pattern with the third traffic pattern to identify a first traffic pattern delta between the first traffic pattern and the third traffic pattern;
comparing the second traffic pattern with the fourth traffic pattern to identify a second traffic pattern delta between the second traffic pattern and the fourth traffic pattern;
determining whether the first traffic pattern delta or the second traffic pattern delta exceed a delta threshold;
when the first traffic pattern delta exceeds the delta threshold, determining a first one of the plurality of capturing agents is in the state; and
when the second traffic pattern delta exceeds the delta threshold, determining a second one of the plurality of capturing agents is in the state.
16. The non-transitory computer-readable medium of claim 15 , the operations further comprising:
determining a threshold discrepancy between a first amount of traffic captured at the host and a second amount of traffic captured at the leaf switch.
17. The non-transitory computer-readable medium of claim 16 , wherein the determining the threshold discrepancy is at least partially a result of unauthorized activity at the first one of the plurality of devices or the second one of the plurality of devices.
18. The non-transitory computer-readable medium of claim 17 , wherein the determining that the threshold discrepancy is at least partially the result of the unauthorized activity includes determining a faulty one of the plurality of capturing agents when the first amount of the traffic is greater than the second amount of the traffic by a threshold amount.
19. The non-transitory computer-readable medium of claim 16 , wherein the first amount of the traffic includes a number of hits to a database residing at the hypervisor on the host.
20. The non-transitory computer-readable medium of claim 16 , the operations further comprising:
in response to the determining the state, increasing a time interval for receiving subsequent data from the plurality of capturing agents to reduce an amount of further data received during the state.