Work

Towards a Lightweight and Efficient Gaussian Mixture Model for Detecting Mirai Botnet Attacks in IoT Environments

Year: 2025

Type: conference-paper

Source: International Conference on Control, Decision and Information Technologies (CoDIT)

DOI: 10.1109/codit66093.2025.11321506

Authors: Boutra Brahim, Khaled Hamouid, Mawloud Omar, Mohamed Rahouti, Hamza Drid

Institutions: University of Batna 2, ESIEE Paris, Université de Bretagne Sud, Institut de Recherche en Informatique et Systèmes Aléatoires, Fordham University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7124180345

FWCI:

Cites: 12

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