{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:42:24Z","timestamp":1760146944897,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T00:00:00Z","timestamp":1735084800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ERDF\/EU","award":["PID2023-148104OB-C43","101070052","PID2021-122466OB-I00"],"award-info":[{"award-number":["PID2023-148104OB-C43","101070052","PID2021-122466OB-I00"]}]},{"name":"EU","award":["PID2023-148104OB-C43","101070052","PID2021-122466OB-I00"],"award-info":[{"award-number":["PID2023-148104OB-C43","101070052","PID2021-122466OB-I00"]}]},{"DOI":"10.13039\/501100011033","name":"MICIU\/AEI","doi-asserted-by":"publisher","award":["PID2023-148104OB-C43","101070052","PID2021-122466OB-I00"],"award-info":[{"award-number":["PID2023-148104OB-C43","101070052","PID2021-122466OB-I00"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>Privacy awareness has increased in recent years. In many countries, websites warn users about their use of cookies and Web browsers provide mechanisms to protect user privacy. However, it is not easy for users to understand tracking risks associated with browsing a given website. To address this, several privacy scanners have emerged to evaluate the privacy practices of websites. However, the scores these scanners provide are often limited to a small number of Web tracking indicators and are thus incomplete. To overcome this limitation, in this paper, we present WebTrackingScore, which provides users with a simple and intuitive indication of the privacy risk associated with visiting a website from a tracking perspective. Its design is based on an in-depth analysis of tracking mechanisms and the behaviour of some of the most frequently visited sites. Based on WebTrackingScore, we have analysed how the most popular websites are classified.<\/jats:p>","DOI":"10.3390\/fi17010003","type":"journal-article","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T19:27:46Z","timestamp":1735154866000},"page":"3","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["WebTrackingScore: A Combined Web Tracking Risk Score System for Websites"],"prefix":"10.3390","volume":"17","author":[{"given":"\u00c1lvaro D.","family":"Guill\u00e9n Cava","sequence":"first","affiliation":[{"name":"Department of Information and Communications Engineering, Faculty of Computer Science, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8433-159X","authenticated-orcid":false,"given":"Antonio","family":"Ruiz-Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Department of Information and Communications Engineering, Faculty of Computer Science, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Papaodyssefs, F., Iordanou, C., Blackburn, J., Laoutaris, N., and Papagiannaki, K. (2015, January 16\u201317). Web identity translator: Behavioral advertising and identity privacy with wit. Proceedings of the 14th ACM Workshop on Hot Topics in Networks, Philadelphia, PA, USA.","DOI":"10.1145\/2834050.2834105"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Zafar, A., and Das, A. (2023, January 24\u201326). Comparative Privacy Analysis of Mobile Browsers. Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, New York, NY, USA. CODASPY \u201923.","DOI":"10.1145\/3577923.3583638"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.56553\/popets-2024-0002","article-title":"A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users\u2019 Privacy","volume":"2024","author":"Demir","year":"2024","journal-title":"Proc. Priv. Enhancing Technol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"H\u00f6lbl, M., Zadorozhny, V., Dru\u017eovec, T., Komapara, M., and Nemec Zlatolas, L. (2024). Browser Fingerprinting: Overview and Open Challenges, IOS Press.","DOI":"10.3233\/FAIA231163"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Iqbal, U., Englehardt, S., and Shafiq, Z. (May, January 24). Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors. Proceedings of the 2021 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA.","DOI":"10.1109\/SP40001.2021.00017"},{"key":"ref_6","first-page":"103643","article-title":"Evolution of web tracking protection in Chrome","volume":"79","author":"Pan","year":"2023","journal-title":"J. Inf. Secur. Appl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"496","DOI":"10.3390\/jcp1030025","article-title":"Tor Hidden Services: A Systematic Literature Review","volume":"1","year":"2021","journal-title":"J. Cybersecur. Priv."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/ITP-05-2023-0467","article-title":"Online privacy literacy and users\u2019 information privacy empowerment: The case of GDPR in Europe","volume":"37","author":"Prince","year":"2024","journal-title":"Inf. Technol. People"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Diamantopoulou, V., Lambrinoudakis, C., King, J., and Gritzalis, S. (2022). EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era. Modern Socio-Technical Perspectives on Privacy, Springer.","DOI":"10.1007\/978-3-030-82786-1_18"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Papadogiannakis, E., Papadopoulos, P., Kourtellis, N., and Markatos, E.P. (2021, January 19\u201323). User tracking in the post-cookie era: How websites bypass GDPR consent to track users. Proceedings of the Web Conference 2021, Ljubljana, Slovenia.","DOI":"10.1145\/3442381.3450056"},{"key":"ref_11","unstructured":"Paci, F., Pizzoli, J., and Zannone, N. (September, January 29). A Comprehensive Study on Third-Party User Tracking in Mobile Applications. Proceedings of the 18th International Conference on Availability, Reliability and Security, Benevento, Italy. ARES\u201923."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"105","DOI":"10.2478\/popets-2022-0006","article-title":"How Can and Would People Protect From Online Tracking?","volume":"2022","author":"Mehrnezhad","year":"2022","journal-title":"Proc. Priv. Enhancing Technol."},{"key":"ref_13","unstructured":"Schweighofer, E., Leitold, H., Mitrakas, A., and Rannenberg, K. (2017, January 7\u20138). PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites. Proceedings of the Privacy Technologies and Policy, Vienna, Austria."},{"key":"ref_14","unstructured":"Budington, B. (2016). Panopticlick: Fingerprinting Your Web Presence, USENIX Association."},{"key":"ref_15","unstructured":"Labs, S. (2024, November 19). SSL Server Rating Guide. Available online: https:\/\/github.com\/ssllabs\/research\/wiki\/SSL-Server-Rating-Guide."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"79","DOI":"10.56553\/popets-2022-0063","article-title":"My Cookie is a phoenix: Detection, measurement, and lawfulness of cookie respawning with browser fingerprinting","volume":"2022","author":"Fouad","year":"2022","journal-title":"Proc. Priv. Enhancing Technol."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Thampi, S.M., Martinez Perez, G., Ko, R., and Rawat, D.B. (2020, January 14\u201317). Towards a Privacy Web Scanner for End-Users. Proceedings of the Security in Computing and Communications, Chennai, India. Communications in Computer and Information Science.","DOI":"10.1007\/978-981-16-0422-5"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.comcom.2016.12.016","article-title":"Online advertising: Analysis of privacy threats and protection approaches","volume":"100","year":"2017","journal-title":"Comput. Commun."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.1016\/j.jnca.2012.02.011","article-title":"A survey on solutions and main free tools for privacy enhancing Web communications","volume":"35","year":"2012","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"122297","DOI":"10.1016\/j.techfore.2022.122297","article-title":"Cookiepocalypse: What are the most effective strategies for advertisers to reshape the future of display advertising?","volume":"188","author":"Sabri","year":"2023","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Merzdovnik, G., Huber, M., Buhov, D., Nikiforakis, N., Neuner, S., Schmiedecker, M., and Weippl, E. (2017, January 29\u201330). Block Me If You Can: A Large-Scale Study of Tracker-Blocking Tools. Proceedings of the 2017 IEEE European Symposium on Security and Privacy (EuroS P), Paris, France.","DOI":"10.1109\/EuroSP.2017.26"},{"key":"ref_22","unstructured":"(2012). International Chamber of Commerce UK ICC UK Cookie Guide, International Chamber of Commerce UK."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"378","DOI":"10.4236\/jsea.2024.175021","article-title":"Ad Blockers & Online Privacy: A Comparative Analysis of Privacy Enhancing Technologies (PET)","volume":"17","author":"Madikeri","year":"2024","journal-title":"J. Softw. Eng. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Bekos, P., Papadopoulos, P., Markatos, E.P., and Kourtellis, N. (May, January 30). The Hitchhiker\u2019s Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. Proceedings of the ACM Web Conference 2023, Austin, TX, USA. WWW \u201923.","DOI":"10.1145\/3543507.3583311"},{"key":"ref_25","first-page":"18","article-title":"The web is watching you: A comprehensive review of web-tracking techniques and countermeasures","volume":"25","author":"Santos","year":"2016","journal-title":"Log. J. IGPL"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Pau, K.N., Lee, V.W.Q., Ooi, S.Y., and Pang, Y.H. (2023). The Development of a Data Collection and Browser Fingerprinting System. Sensors, 23.","DOI":"10.3390\/s23063087"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Rautenstrauch, J., Pellegrino, G., and Stock, B. (2023, January 21\u201325). The Leaky Web: Automated Discovery of Cross-Site Information Leaks in Browsers and the Web. Proceedings of the 2023 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA.","DOI":"10.1109\/SP46215.2023.10179311"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Katsikas, S., Cuppens, F., Kalloniatis, C., Mylopoulos, J., Pallas, F., Pohle, J., Sasse, M.A., Abie, H., Ranise, S., and Verderame, L. (2022, January 26\u201330). Measuring the Adoption of TLS Encrypted Client Hello Extension and Its Forebear in the Wild. Proceedings of the Computer Security. ESORICS 2022 International Workshops, Copenhagen, Denmark.","DOI":"10.1007\/978-3-031-25460-4"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Liu, J.K., Katsikas, S., Meng, W., Susilo, W., and Intan, R. (2021). Browserprint: An Analysis of the Impact of Browser Features on Fingerprintability and Web Privacy. Information Security, Springer.","DOI":"10.1007\/978-3-030-91356-4"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"126","DOI":"10.2478\/popets-2019-0023","article-title":"4 years of EU cookie law: Results and lessons learned","volume":"2019","author":"Trevisan","year":"2019","journal-title":"Proc. Priv. Enhancing Technol."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Nouwens, M., Liccardi, I., Veale, M., Karger, D., and Kagal, L. (2020, January 25\u201330). Dark patterns after the GDPR: Scraping consent pop-ups and demonstrating their influence. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.","DOI":"10.1145\/3313831.3376321"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Brunstrom, A., Flores, M., and Fiore, M. (2023). Exploring the Cookieverse: A Multi-Perspective Analysis of Web Cookies. Passive and Active Measurement, Lecture Notes in Computer Science; Springer.","DOI":"10.1007\/978-3-031-28486-1"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Acar, G., Juarez, M., Nikiforakis, N., Diaz, C., G\u00fcrses, S., Piessens, F., and Preneel, B. (2013, January 4\u20138). FPDetective: Dusting the web for fingerprinters. Proceedings of the 2013 ACM SIGSAC Conference on Computer & Communications Security, Berlin, Germany. CCS\u201913.","DOI":"10.1145\/2508859.2516674"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Englehardt, S., and Narayanan, A. (2016, January 24\u201328). Online Tracking: A 1-Million-Site Measurement and Analysis. Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, Vienna, Austria. CCS \u201916.","DOI":"10.1145\/2976749.2978313"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.csi.2018.08.003","article-title":"Risk-based automated assessment and testing for the cybersecurity certification and labelling of IoT devices","volume":"62","author":"Skarmeta","year":"2019","journal-title":"Comput. Stand. Interfaces"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Papamartzivanos, D., Menesidou, S.A., Gouvas, P., and Giannetsos, T. (2021). A Perfect Match: Converging and Automating Privacy and Security Impact Assessment On-the-Fly. Future Internet, 13.","DOI":"10.3390\/fi13020030"}],"container-title":["Future Internet"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-5903\/17\/1\/3\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T17:00:00Z","timestamp":1760115600000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-5903\/17\/1\/3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,25]]},"references-count":36,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["fi17010003"],"URL":"https:\/\/doi.org\/10.3390\/fi17010003","relation":{},"ISSN":["1999-5903"],"issn-type":[{"type":"electronic","value":"1999-5903"}],"subject":[],"published":{"date-parts":[[2024,12,25]]}}}