System for filtering spam messages based on user reputation

摘要

System for updating filter rules for messages (100) received by a variety of users (160), including a processor, a memory connected to the processor and a computer code that is loaded into the memory to implement the following steps:Store filter rules for the multitude of users (160) in a filter rule database (140);distribution of filter rules to the multitude of users (160);Calculate (420) a reputation weight for each of the multiple users (160);where the calculation of the reputation weights of users (160) includes:Set rules defining user actions on the basis of which the reputational weights are changed when a user performs the action, with the defined user actions reporting that a message belongs to a particular category and at least one action other than a report, that a message belongs to a particular category;Maintain a reputation rule database (630) of user actions, comprising at least one of the following: increase the level of heuristic analysis for checking files, increase the update period, instruct the anti-spam filter and allow execution of a suspect file, and appropriate modifications user reputation weights;distributing rules based on data in the reputation rule database that define user actions necessary to register user actions on the client page;Register user actions on the client page on the basis of rules defining user actions;sending notifications of registered user actions; andCalculate reputation weights on the basis of notifications received about user actions and changes in the reputation weight of the respective user (160) on the basis of modifications to the reputation rules in the reputation rule database (630);Store a reputation weight for each of the multiple users (160) in a user reputation database (320); andReceiving (410) and processing user reports that indicate that a message belongs to a particular category, including processing:(i) Calculate (430) a message weight in its category on the basis of several reports received by a variety of users (160) and a reputation weight of these users (160);(ii) decide (440) whether the message (100) belongs to the particular category if the message weight exceeds a predefined threshold;(iii) update (445) the filter rules in the filter rule database on the basis of the decision; and(iv) Distribute (455) the updated filter rules from the filter rule database to the multitude of users.