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Ensemble Learning-Based Intrusion Detection System for Aerial Base Stations Against Adversarial Evasion Attacks

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11160712

Authors: John Richeson, Salma Aboelmagd, Umair Mughal, Abdulrahman Takiddin, Muhammad Ismail

Institutions: Tennessee Technological University, Florida State University, Northwest Missouri State University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Award: CyberCorps Scholarship for Service (Renewal): An Enhanced and Integrated Scholar Experience in Cybersecurity

OpenAlex ID: W4414538603

FWCI: 5.143

Cites: 21

Cited by: 4

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