Digital forensics and NoSQL databases

Author

Man Qi

Author_Institution

Dept. of Comput., Canterbury Christ Church Univ. Canterbury, Canterbury, UK

fYear

2014

fDate

19-21 Aug. 2014

Firstpage

734

Lastpage

739

Abstract

The rapid development of computer storage technologies has brought Big Data challenges to digital forensics where the dimensions of digital evidence supports has grown exponentially with heterogeneous data sets-structured, unstructured and semi-structured. Traditional relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). However, they are mainly employed for management of structured data and hard to scale to the ever growing size of data sets. This paper reviews NoSQL (Not Only SQL) database technologies as an alternative to RDBMS for management of Big Data. It introduces MongoDB and Riak as two representative NoSQL databases and evaluates their performance in data processing using the Amazon EC2 Cloud.

Keywords

Big Data; SQL; cloud computing; digital forensics; query processing; Amazon EC2 Cloud; Big Data; MongoDB database; NoSQL databases; Not Only SQL database; Riak database; SQL; Structured Query Language; computer storage technologies; data processing; digital evidence dimensions; digital forensics; performance evaluation; query interface; semistructured heterogeneous data sets; unstructured heterogeneous data sets; Benchmark testing; Big data; Data models; Databases; Peer-to-peer computing; Scalability; Servers; Digital forensics; NoSQL database; big data;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4799-5147-5

Type

conf

DOI

10.1109/FSKD.2014.6980927

Filename

6980927