Work

Enhancing Cybersecurity in IoMT Environments: Machine Learning-Powered Anomaly-Based Intrusion Detection Systems

Year: 2025

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Yacoubi, Mohammed, Moussaoui, Omar, Drocourt, C.

Institutions: Mohamed I University, Université de Picardie Jules Verne

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: green

OpenAlex ID: W6990860805

FWCI:

Cites:

Cited by:

Related to: