Work

MICRA: A Modular Intelligent Cybersecurity Response Architecture with Machine Learning Integration

Year: 2025

Type: article

Abstract: The growing sophistication of cyber threats has posed significant challenges for organizations in terms of accurately detecting and responding to incidents in a coordinated manner. Despite advances in the application of machine learning and automation, many solutions still face limitations such as high false positive rates, low scalability, and difficulties in interorganizational cooperation. This study presents MICRA (Modular Intelligent Cybersecurity Response Architecture), a modular conceptual proposal that integrates dynamic data acquisition, cognitive threat analysis, multi-layer validation, adaptive response orchestration, and collaborative intelligence sharing. The architecture consists of six interoperable modules and incorporates techniques such as supervised learning, heuristic analysis, and behavioral modeling. The modules are designed for operation in diverse environments, including corporate networks, educational networks, and critical infrastructures. MICRA seeks to establish a flexible and scalable foundation for proactive cyber defense, reconciling automation, collaborative intelligence, and adaptability. This proposal aims to support future implementations and research on incident response and cyber resilience in complex operational contexts.

Source: Journal of Cybersecurity and Privacy

DOI: 10.3390/jcp5030060

Authors: Alessandro Carvalho Coutinho, Luciano Vieira de Araújo

Institution: Universidade de São Paulo

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,207

Funders: Petrobras, Universidade de São Paulo