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Massive security alerts produced by safety equipments make it necessary to recognize and predict multi-step attacks. In this paper, a novel method of recognizing and predicting multi-step attacks is proposed. It calculatesattack conversion frequencies, and then  mines the multi-step attack sequences.  On this basis, it matches the new alert sequences dynamically, recognizes the multi-step attacks and predicts the next attack step. The result of experiment shows that the proposed method is effective and accurate

A Multi-step Attack Recognition and Prediction Method Via Mining Attacks Conversion Frequencies