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.
| Published in | Internet of Things and Cloud Computing (Volume 10, Issue 3) |
| DOI | 10.11648/j.iotcc.20221003.11 |
| Page(s) | 33-36 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Cloud Networks, Cloud Services, Cyber-Attacks, Traditional Networks, Cyber Security, Big Data, Machine Learning
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APA Style
Thierry Mbah Mbelli. (2022). Cyber Security Architecture Components for Cloud Network. Internet of Things and Cloud Computing, 10(3), 33-36. https://doi.org/10.11648/j.iotcc.20221003.11
ACS Style
Thierry Mbah Mbelli. Cyber Security Architecture Components for Cloud Network. Internet Things Cloud Comput. 2022, 10(3), 33-36. doi: 10.11648/j.iotcc.20221003.11
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Download@article{10.11648/j.iotcc.20221003.11,
author = {Thierry Mbah Mbelli},
title = {Cyber Security Architecture Components for Cloud Network},
journal = {Internet of Things and Cloud Computing},
volume = {10},
number = {3},
pages = {33-36},
doi = {10.11648/j.iotcc.20221003.11},
url = {https://doi.org/10.11648/j.iotcc.20221003.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20221003.11},
abstract = {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.},
year = {2022}
}
TY - JOUR T1 - Cyber Security Architecture Components for Cloud Network AU - Thierry Mbah Mbelli Y1 - 2022/11/30 PY - 2022 N1 - https://doi.org/10.11648/j.iotcc.20221003.11 DO - 10.11648/j.iotcc.20221003.11 T2 - Internet of Things and Cloud Computing JF - Internet of Things and Cloud Computing JO - Internet of Things and Cloud Computing SP - 33 EP - 36 PB - Science Publishing Group SN - 2376-7731 UR - https://doi.org/10.11648/j.iotcc.20221003.11 AB - 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. VL - 10 IS - 3 ER -
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