Identify Attacking Attempts through Logging on Websites and Database Systems by Machine Learning

we will focus on the possibility of using and applying multiple technologies of information technology including, bank accounts, pattern recognition, follow_up data, and data mining. Improve the performance of these systems and techniques through new methods of learning and training, and thus improve the performance by reducing the costs of educational sources and the preservation, study and evaluation of the previous results through conversion to machines and machine learning technology.

Authors

Publication Details

Journal
International Journal of Engineering & Technology
Published
2026-04-27
DOI
https://doi.org/10.14419/ijet.v7i3.20.28420
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Identify Attacking Attempts through Logging on Websites and Database Systems by Machine Learning

Barakat Saad Ibrahim, Hasan Jameel Alwan, Ahmed Hamid Shaker
International Journal of Engineering & Technology
Spam and Phishing Detection
article

Identify Attacking Attempts through Logging on Websites and Database Systems by Machine Learning

Barakat Saad Ibrahim, Hasan Jameel Alwan, Ahmed Hamid Shaker
article en

Abstract

we will focus on the possibility of using and applying multiple technologies of information technology including, bank accounts, pattern recognition, follow_up data, and data mining. Improve the performance of these systems and techniques through new methods of learning and training, and thus improve the performance by reducing the costs of educational sources and the preservation, study and evaluation of the previous results through conversion to machines and machine learning technology.

International Journal of Engineering & TechnologyVol. 7(3.20)
Openalex Percentile: Top 3%
Spam and Phishing Detection
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