Guavus, Inc.

Other

Eric Melin

Marc Tremblay

Sousso Kelouwani

Olivier Mirandette

Jean-Philippe Goyet

Nicolas Carre

The present method and system relate to categorizing URLs (Uniform Resource Locators) of web pages accessed by multiple users over an IP (Internet Protocol) based data network. The method and system collect real time data from IP data traffic occurring on the IP based data network, and extract parameters from the collected real time data, the parameters including an URL of a web page. The URL is processed by a rule based categorization engine, to associate a matching category to the URL of the web page. When no matching category is inferred, the URL is transferred to a semantic based categorization engine. A matching category is associated to the transferred URL by the semantic based categorization engine, based on a semantic analysis of the textual content extracted from the web page associated to the URL.

Method and system for efficient and exhaustive URL categorization

The present relates to a method and a system for identifying an application type from encrypted traffic transported over an IP network. The method and system extract at least a portion of IP flow parameters from the encrypted traffic using at least one of specific target encryption types. Then, the method and system transmit the extracted IP flow parameters to a learning-based classification engine. The learning-based classification engine has been trained with unencrypted traffic. Then, the method and system infer at least one corresponding application type for the extracted IP flow parameters.

Method and system for identifying an application type of encrypted traffic

The present method and system relate to monitoring a subscriber base in an IP data network. The method and system receive at a subscriber base system information extracted from collected data of IP data sessions. The extracted information comprises at least a unique identifier and a timestamp. The subscriber base system queries a subscriber database with the extracted information to correlate with a corresponding subscriber record. If the extracted information is correlated to the corresponding subscriber record, the extracted information is used to update the subscriber database. If the extracted information cannot be correlated to an existing subscriber record, the extracted information is used to create a new subscriber record in the subscriber database.

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Montreal, Canada

Eric Melin