Work

Network Traffic Anomaly Detection using Boosting Methodology

Year: 2025

Type: article

Source: The Journal of Korean Institute of Information Technology

DOI: 10.14801/jkiit.2025.23.5.21

Authors: Inhye Kim, Wangsu Jeon

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: Ministry of Science and ICT, South Korea

OpenAlex ID: W4411038361

FWCI:

Cites: 18

Cited by:

Related to: 10