Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/147050
Title: Web-tracking compliance: websites’ level of confidence in the use of information-gathering technologies
Author: Martínez Sánchez, David
Calle, Eusebi
Jové, Albert
Pérez-Solà, Cristina  
Keywords: web tracking cookies
web beacons
level of confidence
privacy
compliance
Issue Date: 17-Aug-2022
Publisher: Elsevier Ltd.
Citation: David Martínez, Eusebi Calle, Albert Jové, Cristina Pérez-Solà, Web-tracking compliance: websites’ level of confidence in the use of information-gathering technologies, Computers & Security, Volume 122, 2022, 102873, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2022.102873
Published in: Computers & Security (2022) 122; 102873 *
Also see: https://www.sciencedirect.com/science/article/pii/S016740482200267X
Abstract: With the emergence of new technologies and the generalized use of social media, corporations have an invested economic interest in employing web-tracking techniques, but there is also the issue of protecting users’ privacy. In this field of research, only few articles introduce methods to evaluate website compliance in the use of current web-tracking techniques. Moreover, evaluating the level of compliance requires, in the majority of cases, manually implementing an extensive data analysis. In this paper, we present four new algorithms (CIA, CDA, BDA, and SCA) and a novel measure (WLoC) to evaluate user tracking compliance in websites and the level of confidence in the use of information-gathering technologies, by employing the recently published Website Evidence Collector (WEC) software from the European Data Protection Supervisor (EDPS). The paper also showcases a case study of the top 500 websites most visited by Alexa in Spain to evaluate the performance of the presented algorithms and metrics. Results reveal a novel procedure for obtaining categorized websites’ compliance and confidence levels of a set of websites under the current European legislation, thus updating and enhancing some of the previous research work.
Language: English
URI: http://hdl.handle.net/10609/147050
ISSN: 0167-4048MIAR
Appears in Collections:Articles

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