Big Data Management in Digital Forensics

被引：7
|
作者：
Qi, Man [1 ]
Liu, Yang [2 ]
Lu, Lin [2 ]
Liu, Junyong [2 ]
Li, Maozhen [3 ]
机构：
[1] Canterbury Christ Church Univ, Dept Comp, Canterbury CT1 1QU, Kent, England
[2] Sichuan Univ, Sch Elect Engn & Informat Syst, Chengdu 610065, Peoples R China
[3] Brunel Univ, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England
来源：
2014 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) | 2014年
关键词：
Digital forensics; big data; NoSQL database;
D O I：
10.1109/CSE.2014.74
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. MongoDB and Riak).
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页码：238 / 243
页数：6
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