The convergence of cybersecurity, Internet of Things (IoT), and data analytics: Safeguarding smart ecosystems

Adeleye Adewuyi 1, Ahmed Abass Oladele 2, Prince U Enyiorji 3, Olakunle Olusola Ajayi 4, Tsungai E Tsambatare 3, Kolawole Oloke 5 and Idris Abijo 6, *

1 The Romain College of Business, University of Southern Indiana, Evansville, USA.
2 Department of Information Science, College of Computing and Informatics, Drexel University, PA, USA.
3 Kogod School of Business, American University, DC, USA.
4 International school of Management, France.
5 Anderson School of Business, University of California, Los Angeles, USA.
6 Department of Physics and Astronomy, University of Tennessee, TN, USA.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 379–394
Article DOI: 10.30574/wjarr.2024.23.1.1993
Publication history: 
Received on 23 May 2024; revised on 29 June 2024; accepted on 02 July 2024
The Internet of Things (IoT) has profoundly impacted various industries by enabling enhanced connectivity and automation, thereby transforming our interactions with technology and our environment. However, this increased interconnectivity introduces substantial cybersecurity challenges, which threaten the integrity and security of IoT devices. This paper investigates the intersection of cybersecurity, IoT, and data analytics, providing an in-depth analysis of the vulnerabilities inherent in IoT devices and the innovative security solutions developed to address these issues through data-driven approaches. By leveraging advanced data analytics, we can bolster the security measures within IoT ecosystems, ensuring their resilience against cyber threats. Additionally, this study explores emerging trends and future directions in safeguarding smart ecosystems, offering valuable insights into how the integration of these domains can create a more secure and robust technological infrastructure for the future.
Internet of Things (IoT); Cybersecurity; Data Analytics; Artificial Intelligence; Smart Ecosystem
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