Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Alexandros Kapravelos"'
Publikováno v:
2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P).
Publikováno v:
2022 IEEE Security and Privacy Workshops (SPW).
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Autor:
Martina Lindorfer, Roberto Perdisci, Adam Doupé, Gianluca Stringhini, Andrea Lanzi, Alexandros Kapravelos
Publikováno v:
Digital Threats: Research and Practice. 1:1-3
Publikováno v:
IEEE Symposium on Security and Privacy
Content blocking is an important part of a per-formant, user-serving, privacy respecting web. Current content blockers work by building trust labels over URLs. While useful, this approach has many well understood shortcomings. Attackers may avoid det
Autor:
Brad Wardman, Yan Shoshitaishvili, Gail-Joon Ahn, Zhibo Sun, Haehyun Cho, RC Johnson, Alexandros Kapravelos, Tiffany Bao, Adam Oest, Adam Doupé, Shaown Sarker, Ruoyu Wang, Penghui Zhang
Publikováno v:
IEEE Symposium on Security and Privacy
Phishing is a critical threat to Internet users. Although an extensive ecosystem serves to protect users, phishing websites are growing in sophistication, and they can slip past the ecosystem’s detection systems—and subsequently cause real-world
Autor:
Jordan Jueckstock, Matteo Varvello, Panagiotis Papadopoulos, Shaown Sarker, Aidan Beggs, Alexandros Kapravelos, Benjamin Livshits, Peter Snyder
Publikováno v:
WWW
Accurate web measurement is critical for understanding and improving security and privacy online. Such measurements implicitly assume that automated crawls generalize to typical web user experience. But anecdotal evidence suggests the web behaves dif
Publikováno v:
WWW
As a step towards protecting user privacy, most web browsers perform some form of third-party HTTP cookie blocking or periodic deletion by default, while users typically have the option to select even stricter blocking policies. As a result, web trac
Autor:
Kyle Zeng, Haehyun Cho, Gail-Joon Ahn, Kyle Martin, Yan Shoshitaishvili, Ruoyu Wang, Tiffany Bao, Adam Oest, Sung Ta Dinh, Adam Doupé, Alexandros Kapravelos
Publikováno v:
NDSS
Autor:
Seyed Ali Akhavani, Alexandros Kapravelos, Junhua Su, Engin Kirda, Long Lu, Jordan Jueckstock
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030913557
Lecture Notes in Computer Science
Lecture Notes in Computer Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7f1469cef4f8405ee8eca00d9f30d70
https://doi.org/10.1007/978-3-030-91356-4_9
https://doi.org/10.1007/978-3-030-91356-4_9