Traffic control in a communication network
An example method of traffic control in a communication network includes the operations of: receiving, by a processing device, a message associated with a communication address of a party originating the message; determining a class of service associated with the communication address; identifying a network resource locator contained in the message; responsive to detecting, in a chain of redirects associated with the network resource locator, an identifier of a related entity represented by one of: a trusted entity or a known bad actor, adjusting the class of service based on the related entity; selecting one or more links having their respective reliabilities corresponding to the adjusted class of service; and forwarding the message via the one or more links.
1. A method, comprising:
receiving, by a processing device, a message associated with a communication address of a party originating the message;
determining a class of service associated with the communication address;
identifying a network resource locator contained in the message;
responsive to detecting, in a chain of redirects associated with the network resource locator, an identifier of a related entity represented by one of: a trusted entity or a known bad actor, adjusting the class of service based on the related entity;
selecting one or more links having their respective reliabilities corresponding to the adjusted class of service; and
forwarding the message via the one or more links.
2. The method of claim 1 , further comprising:
responsive to validating the communication address, elevating a priority of a message queue associated with the communication address.
3. The method of claim 1 , further comprising:
adjusting aggression level of a spam filter with respect to messages originated from the communication address.
4. The method of claim 1 , wherein determining a class of service is performed based on one or more attributes of the message.
5. The method of claim 1 , wherein determining a class of service is performed based on one or more metrics of network traffic.
6. The method of claim 1 , wherein determining a class of service further comprises:
performing semantic pattern analysis of the message.
7. The method of claim 1 , wherein determining a class of service further comprises:
comparing the message with another message received from a verified communication address.
8. A system, comprising:
a memory; and
a processing device, coupled to the memory, the processing device configured to:
receive a message associated with a communication address of a party originating the message;
determine a class of service associated with the communication address;
identify a network resource locator contained in the message;
responsive to detecting, in a chain of redirects associated with the network resource locator, an identifier of a related entity represented by one of: a trusted entity or a known bad actor, adjust the class of service based on the related entity;
select one or more links having their respective reliabilities corresponding to the adjusted class of service; and
forward the message via the one or more links.
9. The system of claim 8 , wherein the processing device is further configured to:
responsive to validating the communication address, elevate a priority of a message queue associated with the communication address.
10. The system of claim 8 , wherein the processing device is further configured to:
adjust aggression level of a spam filter with respect to messages originated from the communication address.
11. The system of claim 8 , wherein determining a class of service is performed based on one or more attributes of the message.
12. The system of claim 8 , wherein determining a class of service is performed based on one or more metrics of network traffic.
13. The system of claim 8 , wherein determining a class of service further comprises:
performing semantic pattern analysis of the message.
14. The system of claim 8 , wherein determining a class of service further comprises:
comparing the message with another message received from a verified communication address.
15. A non-transitory computer-readable storage medium comprising executable instructions which, when executed by a computer system, cause the computer system to:
receive a message associated with a communication address of a party originating the message;
determine a class of service associated with the communication address;
identify a network resource locator contained in the message;
responsive to detecting, in a chain of redirects associated with the network resource locator, an identifier of a related entity represented by one of: a trusted entity or a known bad actor, adjust the class of service based on the related entity;
select one or more links having their respective reliabilities corresponding to the adjusted class of service; and
forward the message via the one or more links.
16. The non-transitory computer-readable storage medium of claim 15 , further comprising executable instructions which, when executed by the computer system, cause the computer system to:
responsive to validating the communication address, elevate a priority of a message queue associated with the communication address.
17. The non-transitory computer-readable storage medium of claim 15 , further comprising executable instructions which, when executed by the computer system, cause the computer system to:
adjust aggression level of a spam filter with respect to messages originated from the communication address.
18. The non-transitory computer-readable storage medium of claim 15 , wherein determining a class of service is performed based on one or more attributes of the message.
19. The non-transitory computer-readable storage medium of claim 15 , wherein determining a class of service is performed based on one or more metrics of network traffic.
20. The non-transitory computer-readable storage medium of claim 15 , wherein determining a class of service further comprises:
performing semantic pattern analysis of the message.