Abstract
Traditional Intrusion Detection System (IDS) always produces a great number of raw alerts for the same attack, due to lower abstract representation of the detection rules. Researchers use intrusion scenarios to describe complicated attack procedures at a high abstract level, while, to our best knowledge, none is able to produce the scenarios online. An automatic intrusion scenario construction method was proposed. According to the attributes of the raw alerts, the method firstly clustered them into different hyper-alert sequences. After that, frequent closed sequences were mined to construct scenarios. Experimental results on Darpa99 and Darpa2000 show the method can be used to run online and effectively detect attack procedures.
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