ResumenLos ataques a redes IP pueden colapsar la continuidad de los servicios de las empresas afectando su imagen y causando graves pérdidas económicas. La presente investigación se centra en la evaluación de diversos ataques reales de redes IP utilizando plataformas de virtualización con el fin de establecer mecanismos de seguridad para mitigarlos. Para llevarlo a cabo, se diseñaron e implementaron varias topologías de experimentación usando entornos virtuales de red, dentro de las cuales se probaron el escaneo de puertos, fuerza bruta, suplantación de identidad y denegación de servicios, tanto en una red de área local como en una extendida. Para cada topología, se utilizó diferente software libre tanto para producir el ataque como para obtener el flujo de tráfico, evaluándose las consecuencias del ataque. Para contrarrestar dichos ataques, se desarrolló un demonio en Shell script que es capaz de detectar, controlar y mitigar los ataques mencionados de manera programable y constante. Los resultados muestran la funcionalidad de esta investigación que reduce las amenazas y vulnerabilidades de las redes en producción.Palabras clave: ataques de seguridad, tecnologías de virtualización. AbstractIP networks attacks can collapse the continuity of business services affecting its image and causing economic losses. This research focuses on the evaluation of several IP networking real attacks using virtualization platforms to provide security mechanisms to mitigate them. To carry out this work, we designed and implemented several experimentation topologies using virtual network environments, within which were tested port scans, brute force, spoofing and denial of services, both on a local area network as wide area network. For each topology, different free open source software was used both to produce the attack and to obtain the traffic flow, evaluating the consequences of these attacks. To deal with such attacks, we developed a demon program that is able to prevent, detect and mitigate these attacks mentioned. The results show the functionality of this research that reduces threats and vulnerabilities in production networks.
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