Abstract
Internet users progressively have realized that due to our online activities our privacy can be compromised and that much personal information can be gathered. To cope with this problem, both technological solutions and regulations have emerged which are steadily being improved. But, apart from these privacy-preserving tools, we need tools to show privacy risks and that end-users be aware the risks they might be exposed to when they access a website. Currently, there are some tools of this kind. However, they are not oriented to end-users (users with not a high/moderate knowledge on technical issues related to tracking). To address this issue, we have started the development of a Web scanner, named Privacy Web Scanner, that is, in charge of analyzing a website and provide in a simple and graphical way the privacy implications of accessing that site for end-users. In the paper, we present the main issues that should be considered in this kind of scanner, its design and the features of the current beta version.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
ChromeDriver, http://chromedriver.chromium.org/.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
Google Gson, https://github.com/google/gson.
- 15.
- 16.
- 17.
- 18.
- 19.
References
Alidoost Nia, M., Ebrahimi Atani, R., Ruiz-MartÃnez, A.: Privacy enhancement in anonymous network channels using multimodality injection. Secur. Commun. Netw. 8(16), 2917–2932 (2015)
Alidoost Nia, M., Ruiz-MartÃnez, A.: Systematic literature review on the state of the art and future research work in anonymous communications systems. Comput. Electr. Eng. 69, 497–520 (2018)
Boerman, S.C., Kruikemeier, S., Borgesius, F.J.Z.: Online behavioral advertising: a literature review and research agenda. J. Adver. 46(3), 363–376 (2017)
Cozza, V., Tsiatsikas, Z., Conti, M., Kambourakis, G.: Why snoopy loves online services: an analysis of (lack of) privacy in online services, February 2017
Estrada-Jiménez, J., Parra-Arnau, J., RodrÃguez-Hoyos, A., Forné, J.: Online advertising: analysis of privacy threats and protection approaches. Comput. Commun. 100, 32–51 (2017)
Estrada-Jiménez, J., Parra-Arnau, J., RodrÃguez-Hoyos, A., Forné, J.: On the regulation of personal data distribution in online advertising platforms. Eng. Appl. Artif. Intell. 82, 13–29 (2019)
Maass, M., Wichmann, P., Pridöhl, H., Herrmann, D.: PrivacyScore: improving privacy and security via crowd-sourced benchmarks of websites. In: Schweighofer, E., Leitold, H., Mitrakas, A., Rannenberg, K. (eds.) APF 2017. LNCS, vol. 10518, pp. 178–191. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67280-9_10
Mazel, J., Garnier, R., Fukuda, K.: A comparison of web privacy protection techniques. Comput. Commun. 144, 162–174 (2019)
Merzdovnik, G., et al.: Block me if you can: a large-scale study of tracker-blocking tools. In: 2017 IEEE European Symposium on Security and Privacy (EuroS&P), pp. 319–333, April 2017
Palos-Sanchez, P., Saura, J.R., Martin-Velicia, F.: A study of the effects of programmatic advertising on users’ concerns about privacy overtime. J. Bus. Res. 96, 61–72 (2019)
Ruiz-MartÃnez, A.: A survey on solutions and main free tools for privacy enhancing web communications. J. Netw. Comput. Appl. 35(5), 1473–1492 (2012)
Starov, O., Nikiforakis, N.: Extended tracking powers: measuring the privacy diffusion enabled by browser extensions. In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, pp. 1481–1490 (2017)
Zimmeck, S., Li, J.S., Kim, H., Bellovin, S.M., Jebara, T.: A privacy analysis of cross-device tracking. In: Proceedings of the 26th USENIX Conference on Security Symposium, SEC 2017, Vancouver, BC, Canada, pp. 1391–1408. USENIX Association (2017)
Acknowledgements
This work has been sponsored by the Spanish Ministry of Economy and Competitiveness through the PERSEIDES (contract TIN2017-86885-R), Spanish Ministry of Science, Innovation and Universities, grant number RTI2018-095855-B-I00, and European Union’s Horizon 2020 research and innovation program under grant agreement No. 786725 (OLYMPUS project).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Massardier-Meca, M., Ruiz-MartÃnez, A. (2020). Towards a Privacy Web Scanner for End-Users. In: Thampi, S., Martinez Perez, G., Ko, R., Rawat, D. (eds) Security in Computing and Communications. SSCC 2019. Communications in Computer and Information Science, vol 1208. Springer, Singapore. https://doi.org/10.1007/978-981-15-4825-3_14
Download citation
DOI: https://doi.org/10.1007/978-981-15-4825-3_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-4824-6
Online ISBN: 978-981-15-4825-3
eBook Packages: Computer ScienceComputer Science (R0)