Extracting Attack Scenarios Using Intrusion Semantics

Sherif Saad and Issa Traore (University of Victoria, Canada)

Building the attack scenario is the first step to understand an attack and extract useful attack intelligence. Existing attack scenario reconstruction approaches, however, suffer from several limitations that weaken the elicitation of the attack scenarios and decrease the quality of the generated attack scenarios. In this paper, we discuss the limitations of the existing attack scenario reconstruction approaches and propose a novel hybrid approach using semantic analysis and intrusion ontology. Our approach can reconstruct known and unknown attack scenarios and correlate alerts generated in multi-sensor IDS environment. Our experimental results show the potential of our approach and its advantages over previous approaches.






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