MARIA: Monitoring and Analysis for Immediate Response to 5G Network Attacks in the Context of IoT

• Cleitianne Silva UFC
• Carina Oliveira IFCE
• Rossana Andrade UFC

DOI: https://doi.org/10.5753/sbrc.2025.5948

Abstract

The integration of IoT with 5G networks expands the number of connected devices and the complexity of traffic, intensifying security challenges. Machine Learning techniques have been used to detect attack patterns in networks. This article presents MARIA, a solution developed to identify and propose mitigation measures for attacks targeting IoT devices in 5G networks. MARIA consists of six modules and, as part of its process, employs supervised algorithms for attack detection, enabling rapid responses. An evaluation of MARIA is conducted in a testbed. The results highlight MARIA’s effectiveness in real-time detection of different types of attacks.

Keywords: 5G, Security, Internet of Things, Machine Learning

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