Publicación: Ataques tecnológicos de ingeniería social en sistemas de red. “Anti-phishing Web con Machine Learning”
Fecha
2020-10
Autores
Castellanos Santamaría, Pablo
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Derechos de acceso
info:eu-repo/semantics/openAccess
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Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática
Resumen
Este Trabajo de Fin de Máster contiene una descripción del problema actual que representan los ataques tecnológicos de ingeniería social en los sistemas de red poniendo el foco en el más extendido de estos ataques, el phishing. A parte de describir el problema y sus repercusiones, para la realización de este trabajo se han analizado las principales técnicas que existen dentro de la literatura científica actual para el desarrollo de sistemas de prevención e identificación de estos ataques. Por último, se ha desarrollado un algoritmo de Machine Learning para la implementación de un sistema automático de detección de phishing en tiempo real donde se exploran algunas de las medidas de seguridad estudiadas durante la fase teórica del presente trabajo de fin de máster con el objetivo de estudiar su eficacia en la lucha contra los ataques de ingeniería social en los sistemas de red mediante la comparación de los resultados experimentales obtenidos.
This Master's Thesis contains a description of the current problem posed by social engineering technological attacks on network systems, focusing on the most widespread of these attacks, phishing. In addition to describing the problem and its repercussions, the main techniques that exist within the current scientific literature for the development of systems for the prevention and identification of these attacks have been analysed to carry out this work. Finally, a Machine Learning algorithm has been developed for the implementation of an automatic phishing detection system in real time. In this algorithm some of the security measures studied during the theoretical phase of this master's thesis are explored with the objective of review its effectiveness in the fight against social engineering attacks on network systems by comparing the experimental results obtained.
This Master's Thesis contains a description of the current problem posed by social engineering technological attacks on network systems, focusing on the most widespread of these attacks, phishing. In addition to describing the problem and its repercussions, the main techniques that exist within the current scientific literature for the development of systems for the prevention and identification of these attacks have been analysed to carry out this work. Finally, a Machine Learning algorithm has been developed for the implementation of an automatic phishing detection system in real time. In this algorithm some of the security measures studied during the theoretical phase of this master's thesis are explored with the objective of review its effectiveness in the fight against social engineering attacks on network systems by comparing the experimental results obtained.
Descripción
Categorías UNESCO
Palabras clave
ingeniería social, phishing, ataques de red, algoritmo, machine learning, tiempo real, social engineering, phising, network attacks, algorithm, machine learning, real time
Citación
Centro
E.T.S. de Ingeniería Informática
Departamento
No procede