Cooperative Alert Topic Detection Model in Distributed Environment

Different from the traditional topic detection and tracking (TDT) technologies primarily focus on detecting topic in local network domain, this paper proposes a cooperative alert topic detection model in distributed environment (named CATDM). The model abstracts the alert topic and represents it as the local alert case by analyzing the alert of campus network culture in depth. The model not only discovers new alert topic of local network domain, but also cooperatively schedules the information of alert case knowledge base (ACKB) between different alert monitor nodes. CATDM discovers new alert topic of each monitor node and optimizes the local ACKB periodically. Through cooperatively scheduling the information of ACKB between different alert monitor nodes, the model enables some alert monitor nodes to obtain the ability of detecting new alert topic and strengthens the detection ability of burst alert topic. To validate the performance of CATDM, we present two comparison experiments on the data corpus about ¿campus network culture¿. The experiment results validate the feasibility and practicality of CATDM, and demonstrate that CATDM can effectively improve the detecting ability of burst alert topics of local network domain in distributed environment.