Attack Graph to Graph Database
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: Databases are an integral part of almost any computing system today, and users heavily rely on the services they provide. When we interact with a computing system, we expect that any data be stored for future use, that the data is able to be looked up quickly, and that we can perform complex queries against the data stored in the database. There are many different emerging database types available for use, such as relational databases, key-value databases, object databases, graph databases, and RDF databases. Each type of database provides a unique set of qualities that have applications in various domains. Our work aims to investigate and compare the performance of relational databases to graph databases in terms of handling Attack Graph data. In this following project work, we transform the Attack graph data (stored in the xml format) to a Graph Database format using Neo4j. This converted format can be viewed using the Neo4j service & local host in the web browser. The further work of the project has also been attached
Authors and Affiliations
aurav Saraff
Keywords
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