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

Author:

Annansingh Fenio1

Affiliation:

1. York College, City University of New York, USA

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.

Publisher

IGI Global

Reference22 articles.

1. Smart Cities: Definitions, Dimensions, Performance, and Initiatives

2. Re-Imagining Streetlight Infrastructure as a Digital Urban Platform

3. Duarte, F., Ratti, C. (2016), Smart cities, big data, Internet of Things. IEEE Standards University Magazine, 6(4).

4. Eastman. (2015). Big Data and Predictive Analytics: On the Cybersecurity Front Line. IDC Whitepaper.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart Services Implementation in Smart Cities: A Comprehensive Review of State-of-the-art Technologies;2023 5th International Conference on Management Science and Industrial Engineering;2023-04-27

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