Methodological Framework for Developing an Adaptive Intrusion Detection System (IDS) Incorporating Sustainability Factors

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Methodological Framework for Developing an Adaptive Intrusion Detection System (IDS) Incorporating Sustainability Factors"
written by Yaya Gadjama Soureya, Justin Moskolai Ngossaha, Eric Michel Deussom Djomadji, Ngoumou Amougou, Samuel Bowong Tsakou, Marcel Fouda Ndjodo,
published by Journal of Computer and Communications, Vol.13 No.7, 2025

has been cited by the following article(s):

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[1]	Artificial Intelligence for Threat Detection: Leveraging Deep Learning to Identify Zero-Day Attacks in Real Time Universal Library of Engineering Technology, 2025 DOI:10.70315/uloap.ulete.2025.0204013

[2]	Comparative Evaluation of Machine Learning Models for Intrusion Detection on the CIC-IDS Dataset 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG), 2025 DOI:10.1109/ICTBIG68706.2025.11323800