Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms

Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms

Abstract Malicious domains are one of the main resources mandatory for adversaries to run attacks over the Internet. Owing to the significant part of the domain name system (DNS), detailed research has been performed to detect malicious fields according to their unique behaviour, which is considered...

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Bibliographic Details
Main Authors: Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Malicious domain detection
Deep learning
Cybersecurity
Artificial intelligence
Feature selection
Online Access:https://doi.org/10.1038/s41598-025-99420-y
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