Big Data in Homeland Security

Lidong Wang and Cheryl Ann Alexander

Journal of Information, 2015, vol. 1, issue 2, 59-70

Abstract: Big Data predicts outcomes and has great impacts on knowledge discovery and value creation. It can be used to fight against terrorism and enhance Homeland Security by providing accurate predictions and patterns of terrorist activities. This paper introduces some methods and technologies used in Homeland Security. They are: biometrics, radio frequency identification (RFID), data mining, cloud computing, and Big Data. Big Data applications in Homeland Security are presented. These applications include Big Data in general security and public safety, crime prediction and aviation security, disasters, and cybersecurity and cyber defense. Big Data challenges in security are also discussed.

Keywords: Big data; Homeland security; Information technology; Information security; Data mining; Cybersecurity; Cyber defense; Cloud computing (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
https://archive.conscientiabeam.com/index.php/104/article/view/2510/3867 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pkp:joinfo:v:1:y:2015:i:2:p:59-70:id:2510

Access Statistics for this article

More articles in Journal of Information from Conscientia Beam
Bibliographic data for series maintained by Dim Michael ().