System and method for classifying traffic flows using language processing

A system for classifying traffic flows on a computer network, the system comprising at least one processor configured to execute instructions stored in a memory component wherein the instructions provide for modules comprising:

• a Whols module configured to determine sender information associated with a traffic flow and determine Whols data associated with the sender information from a Whols database;
• a search request and response module configured to determine online information associated with the Whols data, wherein determining the online information comprises:
• searching an online search provider or online information source, not associated with the Whols database, with the Whols data;
• and
• determining the online information from text information related to a domain name and HTML meta data of search results from the online search provider;
• a language model configured to parse the online information for keywords, wherein the language model is configured to determine a frequency of keywords associated with a category of application type of the traffic flow, wherein the natural language model combines computational linguistics with machine learning;
• and
• a Service and Category recognizer configured to extract at least one known traffic signature from the traffic flow and classify the traffic flow as an application type based on the keywords or natural language descriptions and the extracted traffic signature.