Big data management in digital forensics

Qi, M. (2014) Big data management in digital forensics. In: UNSPECIFIED, ed. 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE). IEEE. pp. 238-243 ISBN 9781479979806

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The past few years have witnessed an exponential growth in the volume of data on digital forensics leading to big data issues. Digital forensics data is complex and heterogeneous in that it can be structured, unstructured and semi-structured. Traditional relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). However, the RDBMS are mainly employed for management of structured data and hard to scale out to the ever growing size of data sets. This paper reviews the features of NoSQL (Not Only SQL) database technologies as an alternative to RDBMS for management of Big Data. It evaluates the performance of a RDBMS (i.e. MySQL) in comparison with two NoSQL database systems (i.e. Mongo DB and Riak).

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Divisions: Faculty of Social and Applied Sciences > School of Law, Criminal Justice and Computing
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Depositing User: Dr Man Qi
Date Deposited: 10 Jun 2015 16:19
Last Modified: 10 Jun 2015 16:19

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Last edited: 29/06/2016 12:23:00