Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/146656
Title: Intrusion Detection System to the IoT/Edge Computing
Author: Comas Marti, Miquel
Tutor: Rifà-Pous, Helena  
Others: Méndez Muñoz, Víctor  
Abstract: The aim of this paper is to study the problem of attacks on IoT devices, which are becoming more and more present in our lives. The platforms and capabilities of the devices are exposed in order to identify the types of attacks to which they are subjected based on their technical capabilities. A method is proposed for each platform to detect possible attacks and in some cases methods to block them. The state of the art shows the current options in the field of open source HIDS and the possibility of using them in such a specific environment as the IoT. A deployment model and tools are proposed to cover the maximum number of platforms, regardless of the manufacturer or technical capabilities of each. The problem of deploying a large-scale system, where millions of devices are managed, is also exposed, and some possible solutions are provided. As part of the work, a possible implementation is presented using the Raspberry Pi / Linux platform as IoT device, which are two examples of completely disparate platforms. Finally, the conclusions reached are set out, and future improvements, lines of research and improvement are proposed.
Keywords: cyber attacks
privacy
cybersecurity
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2022
Publication license: http://creativecommons.org/licenses/by-nc-sa/3.0/es/  
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

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