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Study on Effective Management of Cyber Incidents in Graph Database

机译:图数据库中网络事件有效管理研究

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Nowadays, cyber incidents are becoming increasingly intelligent, and they have escalated dramatically. For this reason, our research focuses on finding a solution to counter cyber incidents. We decided to build a multiple- and unified data warehouse, one of the many ways of controlling massive information and gathering meaningful intelligence to respond to cyber incidents. The major idea of this paper consists in correlating information based on the massive data set in a graph database. We concentrated on managing massive information in the cyber area and solving the problem when managing malicious information in a relational database. This project is also developing the system based on the architecture in a graph database. We expect the system to contribute to creating various intelligence types. This paper describes how to manage correlated information for building a data warehouse, which is meant to be a kind of infrastructure for responding to cyber-attacks effectively.
机译:如今,网络事件越来越聪明,他们急剧升级。出于这个原因,我们的研究侧重于寻找对抗网络事件的解决方案。我们决定建立一个多种统一的数据仓库,控制大规模信息的许多方法之一,并收集有意义的智能来应对网络事件。本文的主要思路包括基于图形数据库中的大规模数据的信息相关。我们专注于管理网络区域中的大规模信息,并在管理关系数据库中管理恶意信息时解决问题。该项目还基于图形数据库中的架构开发系统。我们希望该系统有助于创建各种智能类型。本文介绍了如何管理构建数据仓库的相关信息,这意味着有效地响应网络攻击的基础设施。

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