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MLA

Nassef, Mohammad. "Boosting Intrusion Detection Against DDoS Attacks Using a Feature Engineering-Based Fine-Tuned XGBoost Model." IJSWIS vol.21, no.1 2025: pp.1-39. https://doi.org/10.4018/IJSWIS.383062

APA

Nassef, M. (2025). Boosting Intrusion Detection Against DDoS Attacks Using a Feature Engineering-Based Fine-Tuned XGBoost Model. International Journal on Semantic Web and Information Systems (IJSWIS), 21(1), 1-39. https://doi.org/10.4018/IJSWIS.383062

Chicago

Nassef, Mohammad. "Boosting Intrusion Detection Against DDoS Attacks Using a Feature Engineering-Based Fine-Tuned XGBoost Model," International Journal on Semantic Web and Information Systems (IJSWIS) 21, no.1: 1-39. https://doi.org/10.4018/IJSWIS.383062

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Boosting Intrusion Detection Against DDoS Attacks Using a Feature Engineering-Based Fine-Tuned XGBoost Model

International Journal on Semantic Web and Information Systems (IJSWIS)

The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.


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