Due to the rise in the number of cyber threats, preserving the reputation of Internet domains has become a significant challenge. This study builds upon the prior research on the domain reputation analysis and proposes an application which was designed for evaluating and monitoring domain trustworthiness. As such, this study follows a structured approach involving an enterprise architecture framework (based on TOGAF) for implementing a scalable and adaptable monitoring system. The proposed solution integrates Django, PostgreSQL, Docker, and Machine Learning techniques for assessing domain reputation. This paper outlines the architecture, the evaluation mechanisms and the implementation of the domain reputation system for the proposed domain assessment platform.
*This article represents an extension of the paper “A Domain Reputation System Architecture Description Using TOGAF”, published in Studies in Informatics and Control, vol. 33(1), 2024, pp. 61-72.
Domain name, Reputation, Cybersecurity, Big data, Machine learning, Domain security, ccTLD.
Mihail DUMITRACHE, Ioan Ștefan SACALĂ, Carmen Ionela ROTUNĂ, Alexandru GHEORGHIȚĂ, Ionut SANDU, Dragoș SMADA, "Developing an Intelligent Security Monitoring Platform for Internet Domains. A Practical Implementation Approach*", Studies in Informatics and Control, ISSN 1220-1766, vol. 34(1), pp. 75-84, 2025. https://doi.org/10.24846/v34i1y202506
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