Correlating network traffic that crosses opaque endpoints
Embodiments are directed to monitoring network traffic using network monitoring computers (NMCs). Two or more network segments coupled by bridge devices may be monitored by NMCs. The bridge devices may modify network traffic passed from one network segment to another network segment. Flows in network segments may be determined based on monitored network traffic associated with the network segments. Other flows in other network segments may be determined based on other monitored network traffic associated with the other network segments. A correlation score for two or more flows in different network segments may be provided based on a correlation model. Two or more related flows may be determined based on a value of the correlation score of the two or more related flows located in different network segments. A report that includes information about the two or more related flows may be provided.
1. A method for monitoring network traffic using one or more network monitoring computers, comprising:
determining one or more flows associated with different network segments based on network traffic;
monitoring network traffic in each network segment to determine each flow associated with each network segment;
providing a correlation score between two or more flows associated with different network segments based on one or more of a correlation model, or one or more characteristics of at least one of the two or more flows;
modifying one or more timing characteristics associated with the at least one of the two or more flows in one of the different network segments;
determining at least one other flow associated with another one of the different network segments based on the one or more timing characteristics; and
determining two or more flows that are related based on a value of the correlation score of the two or more related flows, wherein a report is provided that includes information about the two or more related flows.
2. The method of claim 1 , further comprising:
monitoring two or more different network segments that are coupled by one or more bridge devices, wherein the one or more bridge devices modify network traffic passed from one network segment to another network segment.
3. The method of claim 1 , further comprising:
updating the correlation score for the two or more flows based on the timing characteristics.
4. The method of claim 1 , further comprising:
modifying the network traffic associated with the one or more flows to include fingerprint information;
employing the fingerprint information to determine the one or more flows associated with different network segments; and
updating the correlation score based on the fingerprint information.
5. The method of claim 1 , further comprising:
obscuring the one or more characteristics of the network traffic passed between network segments, wherein the one or more characteristics of the network traffic includes one or more of source tuple information, destination tuple information, sequence numbers, protocol header fields, or payload content.
6. The method of claim 1 , further comprising:
determining one or more transactions associated with the one or more flows associated with different network segments; and
updating the correlation score for the two or more flows based on the one or more determined transactions.
7. A system for monitoring network traffic in a network, comprising:
one or more network monitoring computers (NMCs), wherein each of the one or more NMCs comprises:
a memory that stores at least instructions; and
one or more processors that are arranged to execute instructions that enable performance of actions, including:
determining one or more flows associated with different network segments based on network traffic;
monitoring network traffic in each network segment to determine each flow associated with each network segment;
providing a correlation score between two or more flows associated with different network segments based on one or more of a correlation model, or one or more characteristics of at least one of the two or more flows;
modifying one or more timing characteristics associated with the at least one of the two or more flows in one of the different network segments;
determining at least one other flow associated with another one of the different network segments based on the one or more timing characteristics; and
determining two or more flows that are related based on a value of the correlation score of the two or more related flows, wherein a report is provided that includes information about the two or more related flows; and
one or more client computers, wherein each of the one or more client computers comprises:
a memory that stores at least instructions; and
one or more processors that are arranged to execute instructions that enable performance of actions, including:
providing a portion of the network traffic associated with the one or more flows.
8. The system of claim 7 , further comprising:
monitoring two or more different network segments that are coupled by one or more bridge devices, wherein the one or more bridge devices modify network traffic passed from one network segment to another network segment.
9. The system of claim 7 , further comprising:
updating the correlation score for the two or more flows based on the timing characteristics.
10. The system of claim 7 , further comprising:
modifying the network traffic associated with the one or more flows to include fingerprint information;
employing the fingerprint information to determine the one or more flows associated with different network segments; and
updating the correlation score based on the fingerprint information.
11. The system of claim 7 , further comprising:
obscuring the one or more characteristics of the network traffic passed between network segments, wherein the one or more characteristics of the network traffic includes one or more of source tuple information, destination tuple information, sequence numbers, protocol header fields, or payload content.
12. The system of claim 7 , further comprising:
determining one or more transactions associated with the one or more flows associated with different network segments; and
updating the correlation score for the two or more flows based on the one or more determined transactions.
13. A processor readable non-transitory storage media that includes instructions for monitoring network traffic using one or more network monitoring computers, wherein execution of the instructions by the one or more networking monitoring computers enable performance of actions for a method comprising:
determining one or more flows associated with different network segments based on network traffic;
monitoring network traffic in each network segment to determine each flow associated with each network segment;
providing a correlation score between two or more flows associated with different network segments based on one or more of a correlation model, or one or more characteristics of at least one of the two or more flows;
modifying one or more timing characteristics associated with the at least one of the two or more flows in one of the different network segments;
determining at least one other flow associated with another one of the different network segments based on the one or more timing characteristics; and
determining two or more flows that are related based on a value of the correlation score of the two or more related flows, wherein a report is provided that includes information about the two or more related flows.
14. The processor readable non-transitory storage media of claim 13 , further comprising:
monitoring two or more different network segments that are coupled by one or more bridge devices, wherein the one or more bridge devices modify network traffic passed from one network segment to another network segment.
15. The processor readable non-transitory storage media of claim 13 , further comprising:
modifying the network traffic associated with the one or more flows to include fingerprint information;
employing the fingerprint information to determine the one or more flows associated with different network segments; and
updating the correlation score based on the fingerprint information.
16. The processor readable non-transitory storage media of claim 13 , further comprising:
obscuring the one or more characteristics of the network traffic passed between network segments, wherein the one or more characteristics of the network traffic includes one or more of source tuple information, destination tuple information, sequence numbers, protocol header fields, or payload content.
17. The processor readable non-transitory storage media of claim 13 , further comprising:
determining one or more transactions associated with the one or more flows associated with different network segments; and
updating the correlation score for the two or more flows based on the one or more determined transactions.