A Machine Learning-Based Model for Implementing the Cybersecurity for Organizations ‘Assets

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Dr. Mohammad Mahmoud Abu Omar
Dr. Mohammad Mahmoud Abu Omar
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Mohammad Awawdeh
Mohammad Awawdeh
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Ramze Sanea
Ramze Sanea

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A Machine Learning-Based Model for Implementing the Cybersecurity for Organizations ‘Assets

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Abstract

In the current era, cybersecurity problems are one of the critical problems that threaten the organizations’ assets, since they may cause a big financial and moral loss. and in the parallel the with the advent of the Machine Learning and Artificial Intelligence techniques, It is important and wise to use these technologies to help in achieving cybersecurity for organizations’ assets, due to accurate work of these systems and saving time, effort, and cost. So, this research develops a model that uses machine learning technology to detect the vulnerability in the information security of the organizations’ assets to avoid as possible the lack of the information security in organizations’ assets and thus avoid the financial and moral loss that such organizations may face.

References

8 Cites in Article
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Mohammad Mahmoud Abu Omar. 2026. \u201cA Machine Learning-Based Model for Implementing the Cybersecurity for Organizations ‘Assets\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 22 (GJCST Volume 22 Issue D2): .

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Efficient machine learning-based model for cybersecurity asset management and threat detection.
Issue Cover
GJCST Volume 22 Issue D2
Pg. 33- 35
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-D Classification: DDC Code: 004.62 LCC Code: T58.5
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v1.2

Issue date

May 26, 2022

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en
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In the current era, cybersecurity problems are one of the critical problems that threaten the organizations’ assets, since they may cause a big financial and moral loss. and in the parallel the with the advent of the Machine Learning and Artificial Intelligence techniques, It is important and wise to use these technologies to help in achieving cybersecurity for organizations’ assets, due to accurate work of these systems and saving time, effort, and cost. So, this research develops a model that uses machine learning technology to detect the vulnerability in the information security of the organizations’ assets to avoid as possible the lack of the information security in organizations’ assets and thus avoid the financial and moral loss that such organizations may face.

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A Machine Learning-Based Model for Implementing the Cybersecurity for Organizations ‘Assets

Dr. Mohammad Mahmoud Abu Omar
Dr. Mohammad Mahmoud Abu Omar
Mohammad Awawdeh
Mohammad Awawdeh
Ramze Sanea
Ramze Sanea

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