Research Article
Real-Time Simulation and Detection of Unauthorized Devices in IoT Networks Using MAC-Level Monitoring
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
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| Volume 8 - Issue 1 |
| Published: August 2025 |
| Authors: Eman Gaber Ahmed Mahomud |
10.5120/cae2025652910
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Eman Gaber Ahmed Mahomud . Real-Time Simulation and Detection of Unauthorized Devices in IoT Networks Using MAC-Level Monitoring. Communications on Applied Electronics. 8, 1 (August 2025), 1-7. DOI=10.5120/cae2025652910
@article{ 10.5120/cae2025652910,
author = { Eman Gaber Ahmed Mahomud },
title = { Real-Time Simulation and Detection of Unauthorized Devices in IoT Networks Using MAC-Level Monitoring },
journal = { Communications on Applied Electronics },
year = { 2025 },
volume = { 8 },
number = { 1 },
pages = { 1-7 },
doi = { 10.5120/cae2025652910 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2025
%A Eman Gaber Ahmed Mahomud
%T Real-Time Simulation and Detection of Unauthorized Devices in IoT Networks Using MAC-Level Monitoring%T
%J Communications on Applied Electronics
%V 8
%N 1
%P 1-7
%R 10.5120/cae2025652910
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In modern Internet of Things (IoT) environments, the detection of unauthorized devices is critical for maintaining network security and integrity. This paper presents a MATLAB-based simulation framework that monitors connected devices in a wireless network and distinguishes between authorized and intruder devices using MAC address filtering. The simulation dynamically generates device activity over time, logs connection events, and visualizes trends in intrusions. Statistical analysis such as intrusion ratios, detection accuracy, and temporal patterns are computed. The proposed tool serves both as a security validation method and a data generation model for future intrusion detection system (IDS) research.
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