Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/149872
Title: Plataforma para la detección y control de puntos finales en la red usando tecnologías Zero Trust y NAC
Author: Tello Flores, Linck
Tutor: Méndez Muñoz, Víctor  
Others: Garcia-Font, Victor  
Abstract: The device control connected to the network is a task that is carried out routinely and is generally complicated to manage, due to which control is lost either due to the continuous input and output of devices and/or due to the use of personal devices in organizations.This means that when a security incident occurs, the task of tracing the origin is difficult, losing time to respond to a threat. Therefore, given the increase in incidents related to the lack of visibility of devices connected to the network, it is proposed to develop a cybersecurity platform for the detection and control of assets based on network sensors for identification, evaluation and autonomous response that guarantees network security, using zero trust architecture. The platform is implemented by installing local sensors that send data to a group of cloud servers for storage, monitoring and analysis using open source software such as OpenSearch, Grafana, Zeek and ClickHouse. Likewise, the IT department has an administration console from which it will manage the devices, be able to know their status and carry out control actions by applying predefined security policies by cybersecurity specialists to avoid possible security compromises for which the platform integrates via API with antimalware manufacturers to evaluate whether the asset is protected and, if not, generate automatic response actions.
Keywords: ciberseguridad
ZeroTrust
respuesta a incidentes
NAC
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 24-Jan-2024
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

Files in This Item:
File Description SizeFormat 
lincktelloTFM0124memoria.pdfMemoria del TFM3,59 MBAdobe PDFThumbnail
View/Open
Share:
Export:
View statistics

This item is licensed under aCreative Commons License Creative Commons