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Reputația numelor de domenii de Internet se referă la evaluarea credibilității, securității și fiabilității unui domeniu pe baza comportamentului și a caracteristicilor istorice ale acestuia. Aceasta implică analizarea factorilor care influențează calitatea percepută, securitatea și riscurile asociate pentru a determina reputația unui domeniu. Domeniile de nivel superior (TLD) reprezintă cel mai înalt nivel din ierarhia sistemului de nume de domenii. Reputația domeniului influențează clasamentele motoarelor de căutare, experiența utilizatorului și securitatea online. Registrele de domenii TLD, organizațiile și persoanele fizice au nevoie de sisteme de monitorizare automată a reputației domeniilor deținute din motive de securitate, în special atunci când utilizează date cu caracter personal, pentru a proteja utilizatorii și a menține o prezență online pozitivă. Principalele obiective ale acestui studiu includ identificarea parametrilor Sistemului de Nume de Domenii (DNS) relevanți pentru stabilirea reputației și analiza impactului stărilor unui domeniu asupra reputației, utilizând setul de date deținut de Registrul de domenii .ro.

The current research approaches the implementation of a real-time domains monitoring platform to determine their reputation, which involves data collection, machine learning analysis, and creating a realtime monitoring interface. Collaboration between various parties and continuous platform improvement are essential to meet evolving user needs and cybersecurity demands. This integrated approach strives to ensure a safer online environment by monitoring and enhancing the reputation of internet domains. The purpose of a domain name reputation system is to assess the trustworthiness of internet domain names. It relies on key components like whitelists, blacklists, registry data and domain rating tools for evaluation and security. Requirements for developing a domain name reputation system highlights the essential prerequisites for an effective domain name reputation system. A significant emphasis is placed on the identification and use of blacklists and whitelists to distinguish trusted from untrusted domains.

This paper presents a scientific approach regarding the existing technologies and methodologies for establishing the reputation of an Internet domain, as well as some considerations related to the introduction of artificial intelligence techniques for the dynamic monitoring of the domains. The work is part of a research project whose purpose is to ensure the degree of trust given to domains against malicious activities in the Internet space by automatically monitoring them and offering solutions to keep data safe. The huge number of newly registered domains, the proliferation of malicious domains that represent attack vectors for DNS servers are the main causes that require finding an automated solution for establishing the reputation level of each domain. By establishing the level of reputation of the domain/domains owned, their future users (authorities, state institutions, private companies, individuals, etc.) will have a correct image of the degree of trust of the used domain, thus, creating a safer Internet space. Along with the classical techniques for establishing infested domains (blacklist) currently used by DNS administrators, the automatic detection tools presented in the paper have the advantage of fast detection and automatic updating of possible compromised domains.