Analysis of key events using dynamic-created influence nets

This paper proposes a solution which is called Analysis of Key Events in Audit Data Using Dynamic-Created Influence Nets. According to the audit transaction and the events operating results the prior probability of actionable events and baseline probability of desired events are obtained statistically, the causal strength between audit events and the corresponding event type is also obtained. Then the influence net is created to analyze sensitivity of the audit events in their types and search set of key events. We apply the proposed method in audit data of a management system. The experimental results show that the method is useful to get key events in complex audit data.