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Today, new study has been made to the Abnormal Access Discovery (AAD). While label-based AAD have proven effective in discovering known abnormal access, label-based AAD can be able to automatically detect previously unrecorded risks. Traditional AAD cannot meet evolving network workflows in real time. To resolve this limitation, intelligence agent techniques can be used to create a new type of AAD that can be able to dynamically model a flow of network access. In this paper, we present twodoi:10.12785/amis/071l07 fatcat:3thab4n6nnbingxwoqijnda6ya