Work

MV-EA-IDS: An Optimized Dual View, Energy-Aware IDS for Battery Drain Attacks in IoT

Year: 2025

Type: conference-paper

Source: International Conference on Applied Automation and Industrial Diagnostics (ICAAID)

DOI: 10.1109/icaaid68975.2025.11358086

Authors: Rahma Berchi, Lemia Louail, Sarra Cherbal, Abdul Ghafar Jaafar, Noor Hafizah Hassan, Selma Amrani

Institutions: University Ferhat Abbas of Setif, Centre National de la Recherche Scientifique, CRAN, University of Technology Malaysia

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7127075191

FWCI:

Cites: 14

Cited by:

Related to: 10