%0 Journal Article
%T A Multi-step Attack Recognition and Prediction Method Via Mining Attacks Conversion Frequencies
%A MAN Da-peng
%A LI Xue-zhen
%A YANG Wu
%A WANG Wei
%J International Journal of Wireless and Microwave Technologies
%D 2012
%I MECS Publisher
%R 10.5815/ijwmt.2012.02.04
%X 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.
%K Network security
%K multi-step attack
%K alert correlation
%K attack conversion frequencies
%U http://www.mecs-press.org/ijwmt/ijwmt-v2-n2/v2n2-4.html