Big Data for National Security in the Era of COVID-19

Cárdenas，Pedro1; Obara，Boguslaw1; Ivrissimtzis，Ioannis1; Kureshi，Ibad2; Theodoropoulos，Georgios3

10.1007/978-3-030-77961-0_7

2021

0302-9743

1611-3349

LECT NOTES ARTIF INT

12742 LNCS

68-82

The COVID-19 epidemic has changed the world dramatically as societies adjust their behaviour to meet the challenges and uncertainties of the new normal. These uncertainties have led to instabilities in several facets of society, most notably health, economy and public order. Increasing discontent within societies in response to government mandated measures to contain the pandemic have triggered social unrest, imposing serious threats to national security. Big Data Analytics can provide a powerful force multiplier to support policy and decision makers to contain the virus while at the same time dealing with such threats to national security. This paper presents the utilisation of a big data forecasting and analytics framework to deal with COVID-19 triggered social unrest. The framework is applied and demonstrated in two different disruptive incidents in the United States of America.

Big data COVID-19 Data analytics Epidemics Machine learning National security

其他

英语

EI

20213110699130

Advanced Analytics ; Big data ; Computer viruses ; Data Analytics ; Decision making ; Viruses

Military Engineering:404.1 ; Biology:461.9 ; Data Processing and Image Processing:723.2 ; Management:912.2

2-s2.0-85111403739

Scopus

1.Department of Computer Science,Durham University,Durham,United Kingdom
2.Inlecom Systems,Brussels,United Kingdom
3.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China

Cárdenas，Pedro,Obara，Boguslaw,Ivrissimtzis，Ioannis,et al. Big Data for National Security in the Era of COVID-19[C],2021:68-82.