Abstract: Method and system for improving the detection of security threats in a communication network, including security devices which generate security events. The present invention assigns a dynamic tag to each event according to the description of the event, and the tags related to the same security threat are clustering forming a data model pattern. An artificial intelligence algorithm, learning from known real information, analyzes said patterns and decides whether an alarm should be generated or not.

Abstract: A system for monitoring online communications of at least one LAN user, specially useful for controlling children's internet interactions. The system comprises a central communications server and locally deployed equipment in the user's home LAN, the locally deployed equipment comprising means adapted to automatically enumerate and store all the peers of the local user, analyze natural language of the conversations between the user and the peers to assign an age range of the peers through morphological and syntactical language use, identify customer-specified words and generate a network of peers and alarms for users according to previously determined rules; and the central communications server comprising means to collect anonymized data from the pairs.

Abstract: The invention relates to a collaborative system for security information exchange between users, based on the fact that a determined function (whether storing or processing) is spread out at different points of a network to achieve more scalable processing and storing factors than if they were all done at one and the same point. The invention proposes architecture with a centralized element, referred to as “Central Device”, through which said user devices share information with the remaining users to finally activate an alert or rule it out.