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The Study on Effective Management of Cyber Incidents in Graph Database

Authors:
Seulgi Lee
Hyeisun Cho
Byungik Kim
Taejin Lee

Keywords: information management; cyber incidents; graph database; cyber threat intelligence

Abstract:
Nowadays, cyber incidents are becoming increasingly intelligent, and they have escalated dramatically. For this reason, we planned and researched the 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 making meaningful intelligence to response to cyber incidents. The major approach of this paper consists of correlated information based on a 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 to be a kind of infrastructure for responding to cyber-attacks effectively.

Pages: 42 to 44

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-509-8

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016