A Framework for implementing an ML or DL model to improve Intrusion Detection Systems (IDS) in the NTMA context, with an example on the dataset (CSE-CIC-IDS2018)

The objective of this work is to present a framework to be followed to model, test, validate and implement a DL model for anomaly, abuse, malware or botnet detection, with the aim of implementing or improving an Intrusion Detection System (IDS) within the NTMA framework, by means of new machine lear...

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Bibliographic Details
Main Authors: Azeroual Hakim, Belghiti Imane Daha, Berbiche Naoual
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2022/06/itmconf_iceas2022_02005.pdf