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English Information

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Authors
# Name
1 Antony de Medeiros(amedeiros@inf.puc-rio.br)
2 Claudio Cavalcante(cfrag@bndes.gov.br)
3 Sergio Lifschitz(sergio@inf.puc-rio.br)

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Reference
# Reference
1 Aceto, G., Botta, A., de Donato, W., and Pescapè, A. (2019). Mobile encrypted traffic classification using deep learning: Experimental evaluation, lessons learned, and challenges. IEEE Transactions on Network and Service Management, 16(2):445–458.
2 Alghythee, K. K. A., Hrncic, A., Singh, K., Kunisetty, S., Yao, Y., and Soni, N. (2024). Towards understanding family privacy and security literacy conversations at home: Design implications for privacy literacy interfaces. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, pages 1–12. ACM.
3 Alomar, N. N., Reardon, J., Girish, A., Vallina-Rodriguez, N., and Egelman, S. (2025). The effect of platform policies on app privacy compliance: A study of child-directed apps. Proceedings on Privacy Enhancing Technologies, 2025(3):170–191.
4 Coull, S. E. and Dyer, K. P. (2014). Traffic analysis of encrypted messaging services: Apple imessage and beyond. In Proceedings of the ACM SIGCOMM Conference on Internet Measurement Conference (IMC), pages 435–448. ACM.
5 Eshet-Alkalai, Y. (2004). Digital literacy: A conceptual framework for survival skills in the digital era. Journal of Educational Multimedia and Hypermedia, 13(1):93–106.
6 Figueira, O., Trimananda, R., Markopoulou, A., and Jordan, S. (2024). Diffaudit: Auditing privacy practices of online services for children and adolescents. In Proceedings of the 2024 ACM Internet Measurement Conference (IMC ’24), pages 488–504. ACM.
7 Ikram, M., Vallina-Rodriguez, N., Seneviratne, S., Käafar, M. A., and Paxson, V. (2016). An analysis of the privacy and security risks of android VPN permission-enabled apps. In Proceedings of the 2016 Internet Measurement Conference, pages 349–364. ACM.
8 Liu, L., Gao, L., Soni, N., and Yao, Y. (2024). Exploring design opportunities for family-based privacy education in informal learning spaces. Proceedings on Privacy Enhancing Technologies, 2024(3):127–143.
9 Nissenbaum, H. (2010). Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford University Press.
10 Ren, J., Lindorfer, M., Dubois, D. J., Rao, A., and Choffnes, D. (2016). Recon: Revealing and controlling pii leaks in mobile network traffic. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 361–374. ACM.
11 Seabra, A., Afonso Glatzl Junior, L., and Lifschitz, S. (2024). Surveillance capitalism revealed: Tracing the hidden world of web data collection. arXiv e-prints, pages arXiv–2412.
12 Seabra, A., Cavalcante, C., and Lifschitz, S. (2025). From surveillance to manipulation: How data collection enables targeted disinformation. In Simpósio Brasileiro de Banco de Dados (SBBD), pages 302–313. SBC.
13 Wu, D., Chang, R. K. C., Li, W., Cheng, E. K. T., and Gao, D. (2017). MopEye: Opportunistic monitoring of per-app mobile network performance. In 2017 USENIX Annual Technical Conference (USENIX ATC 17), pages 445–457. USENIX Association.
14 Zuboff, S. (2019). The Age of Surveillance Capitalism. PublicAffairs.