Big data management in digital forensics

Book chapter

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

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).

Page range238-243
Year2014
Book title2014 IEEE 17th International Conference on Computational Science and Engineering (CSE)
PublisherIEEE
Output statusPublished
ISBN9781479979806
Publication dates
Print2014
Publication process dates
Deposited10 Jun 2015
Accepted2014
Official URLhttp://dx.doi.org/10.1109/CSE.2014.74
Related URLhttp://umc.uestc.edu.cn/conference/CSE2014/index.php
Event17th IEEE International Conference on Computational Science and Engineering（CSE2014）
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