BOOK-CHAPTER

Using Big Data Analytics to Assist a Smart City to Prevent Cyber Security Threats

Fenio Annansingh

Year: 2021 Advances in human and social aspects of technology book series Pages: 107-124   Publisher: IGI Global

Abstract

The concept of a smart city as a means to enhance the life quality of citizens has been gaining increasing importance in recent years globally. A smart city consists of city infrastructure, which includes smart services, devices, and institutions. Every second, these components of the smart city infrastructure are generating data. The vast amount of data is called big data. This chapter explores the possibilities of using big data analytics to prevent cybersecurity threats in a smart city. It also analyzed how big data tools and concepts can solve cybersecurity challenges and detect and prevent attacks. Using interviews and an extensive review of the literature have developed the data analytics and cyber prevention model. The chapter concludes by indicating that big data analytics allow a smart city to identify and solve cybersecurity challenges quickly and efficiently.

Keywords:
Big data Analytics Smart city Computer security Computer science Data science Data analysis Cyber threats Internet of Things Data mining

Metrics

1
Cited By
0.62
FWCI (Field Weighted Citation Impact)
14
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Cities and Technologies
Physical Sciences →  Engineering →  Media Technology
Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Mobile Crowdsensing and Crowdsourcing
Physical Sciences →  Computer Science →  Computer Science Applications

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