METHOD FOR DETECTING ANOMALIES IN DATA TRAFFIC GENERATED BY PERIPHERAL DEVICES SIMULATING HUMAN-LIKE PATTERNS

The present invention relates to a method for detecting anomalies in data traffic generated by peripheral devices simulating human-like patterns retrieving all data packets sent by a peripheral device to a computer, identifying a data communication as a plurality of the data packets in a predetermined timeframe, parsing the content of each of the data packets of the data communication to extract a plurality of communication features of the data communication, classifying the communication features through a set of absolute classifiers and through a set of majority classifiers and signalling an anomaly of the data communication when at least the majority in the set of absolute classifiers or at least one in the set of absolute classifiers define the data communication as malicious.