Big Data in Distributed Analytics, Cybersecurity, Cyber Warfare and Digital Forensics

Lidong Wang^1, and Cheryl Ann Alexander²

¹Department of Engineering Technology, Mississippi Valley State University, USA

²Technology and Healthcare Solutions, Inc., USA

Cite this paper:
Lidong Wang and Cheryl Ann Alexander. Big Data in Distributed Analytics, Cybersecurity, Cyber Warfare and Digital Forensics. Digital Technologies. 2015; 1(1):22-27. doi: 10.12691/dt-1-1-5

Abstract

Big Data can reduce the processing time of large volumes of data in the distributed computing environment using Hadoop. It also can predict potential cybersecurity breaches, help stop cyber attacks, and facilitate post-breach digital forensic analysis. This paper introduces Big Data applications in distributed analytics, general cybersecurity (general cyber threats, cyber attacks, and cyber security in cloud computing, etc.), cyber warfare, cyber defense, and digital forensics. Some methods and technology progress in these cyberareas are presented. Some challenges of Big Data applications in the areas and solutions to part of the challenges are also discussed.

Keywords:
Big Data distributed analytics cybersecurity cyber warfare cyber defense digital forensics telecommunication systems information technology

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