Desarrollo y análisis de resultados de herramienta para el estudio de la privacidad y monetización de la web
From the initial static websites,until the current web applications, browsers have evolved to the point of implementing functions that were previously characteristic of the operating system, that make the browsers more powerful but at the same time can imply undesired situations for the user.The mal...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:20.500.14342/2841 |
| Acceso en línea: | http://hdl.handle.net/20.500.14342/2841 |
| Access Level: | acceso abierto |
| Palabra clave: | Internet -- Mesures de seguretat -- TFM Pàgines web -- TFM 004 62 |
| Sumario: | From the initial static websites,until the current web applications, browsers have evolved to the point of implementing functions that were previously characteristic of the operating system, that make the browsers more powerful but at the same time can imply undesired situations for the user.The malicious use of these components allows to identify thedevices where they are used, with the objective to trace user behavior, andleads to what is known as the techniques offingerprintingstill a quite unknown practice.The birth of the cryptocurrenciesand the possibility to mine them in a distributed way, has ledto risks to the user as their computational power can be used by third-parties with the objective ofgeneratingincome.Therefore, it is intended to identify the use of these techniquesin an environmentintentionally obfuscatedby their creators.The main aim of this project is the analysis of the trendsin the use of these techniques and their effect on the privacy and security of the users, through the monthly examination of hundreds of thousands of websites. The second objective is the diffusion of the resultsobtained on open source through the creation of: a database with the information and one API to consult it, a website for the average user with information on fingerprinting and the sites which are using it, lists that allow to block the scripts that use them (useful for third-party applications) and an extension for Google Chrome that warns about the use of these techniques when visiting a website.This study has been realized at Telefónica I+D, through the development of a scholarship granted by the company to the University of Princeton(New Jersey, USA) and in collaboration with the University of Lehigh (Pensilvania, USA) |
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