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- W1486313172 abstract "In the last few years, the Internet has experienced explosive growth. Along with the widespread evolution of new emerging services, the quantity and impact of attacks have been continuously increases. Defense system and network monitoring has becomes essential component of computer security to predict and prevent attacks. A hybrid technique is one of solution for classification and detection intrusion threat. There are some researchers combine misuse-based and anomaly-based to solve this problem. Moreover, there are also performed works using other approaches. In this paper, we analyze fundamental requirement to be satisfied defense network from any intrusion threat will be present, then propose a framework to identify, recognize, prevention and reacting threat, this method is called Pitcher Flow, it combines anomaly-based and misuse-based with event parameters database using data mining approach, which is approach with modular blocks. Throughout this paper, we represent to evaluate system security for help security officer and Network Operating Center (NOC) team to overall network monitoring." @default.
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- W1486313172 date "2011-05-01" @default.
- W1486313172 modified "2023-09-23" @default.
- W1486313172 title "Pitcher Flow: Unified Integration for Intrusion Prevention System" @default.
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