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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.
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): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 108
Country: Palestine
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Dr. Mohammad Mahmoud Abu Omar, Mohammad Awawdeh, Ramze Sanea (PhD/Dr. count: 1)
View Count (all-time): 275
Total Views (Real + Logic): 2928
Total Downloads (simulated): 36
Publish Date: 2026 01, Fri
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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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