Internet of Things and Cloud Computing

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Cyber Security Architecture Components for Cloud Network

The cyber security landscape is constantly evolving and changing with attackers developing new tools and techniques to access organizations' systems and data. Public and private organizations are finding it increasingly difficult to defend their systems and data from these constantly changing, evolving, and persistent threats. Therefore, it is empirical and critical that both business and government agencies protect their systems and data from potential risks arising from these threats for business or organization continuity. Cybercriminals often target the networks to launch attacks on the organization-targeted systems with the intention to gain access and either steal, alter or destroy value data. These attacks may include Malware, DDoS, SQL injection, Phishing, XSS, Botnets, and many more. Cloud adoption has fundamentally changed the way applications are delivered and consumed. Traditional networks lack the security and performance capabilities and therefore cannot support these new cloud challenges. This paper proposes an architecture with built-in algorithms to detect both new and old threats. The paper starts with an analysis of the challenges for intelligent networks. The second part looks at related works that have been carried out in relation to cybersecurity in networks. The third part proposes an architecture with an algorithm built in to detect new threats to the networks. Finally, the last part deals with the implementation of the architecture.

Cloud Networks, Cloud Services, Cyber-Attacks, Traditional Networks, Cyber Security, Big Data, Machine Learning

Thierry Mbah Mbelli. (2022). Cyber Security Architecture Components for Cloud Network. Internet of Things and Cloud Computing, 10(3), 33-36.

Copyright © 2022 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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