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- research-articleOctober 2020
Investigating Large Scale HTTPS Interception in Kazakhstan
IMC '20: Proceedings of the ACM Internet Measurement ConferencePages 125–132https://doi.org/10.1145/3419394.3423665Increased adoption of HTTPS has created a largely encrypted web, but these security gains are on a collision course with governments that desire visibility into and control over user communications. Last year, the government of Kazakhstan conducted an ...
- research-articleOctober 2020
Demystifying the Messaging Platforms' Ecosystem Through the Lens of Twitter
- Mohamad Hoseini,
- Philipe Melo,
- Manoel Júnior,
- Fabrício Benevenuto,
- Balakrishnan Chandrasekaran,
- Anja Feldmann,
- Savvas Zannettou
IMC '20: Proceedings of the ACM Internet Measurement ConferencePages 345–359https://doi.org/10.1145/3419394.3423651Online messaging platforms such as WhatsApp, Telegram, and Discord, each with hundreds of millions of users, are one of the dominant modes of communicating or interacting with one another. Despite the widespread use of public group chats, there exists ...
- research-articleOctober 2020
Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput
- Arvind Narayanan,
- Eman Ramadan,
- Rishabh Mehta,
- Xinyue Hu,
- Qingxu Liu,
- Rostand A. K. Fezeu,
- Udhaya Kumar Dayalan,
- Saurabh Verma,
- Peiqi Ji,
- Tao Li,
- Feng Qian,
- Zhi-Li Zhang
IMC '20: Proceedings of the ACM Internet Measurement ConferencePages 176–193https://doi.org/10.1145/3419394.3423629The emerging 5G services offer numerous new opportunities for networked applications. In this study, we seek to answer two key questions: i) is the throughput of mmWave 5G predictable, and ii) can we build "good" machine learning models for 5G ...