TY - GEN A1 - Feldmann, Anja A1 - Gasser, Oliver A1 - Lichtblau, Franziska A1 - Pujol, Enric A1 - Poese, Ingmar A1 - Dietzel, Christoph A1 - Wagner, Daniel A1 - Wichtlhuber, Matthias A1 - Tapiador, Juan A1 - Vallina-Rodriguez, Narseo A1 - Hohlfeld, Oliver A1 - Smaragdakis, Georgios T1 - Implications of the COVID-19 Pandemic on the Internet Traffic T2 - ITG-Fb. 295: Breitbandversorgung in Deutschland : Beiträge der 15. ITG-Fachkonferenz, 2. – 3. März 2021, Online-Veranstaltung N2 - In this paper, we report on a measurement study by researchers from several institutions that collected and analyzed network data to assess the impact of the first wave of COVID-19 (February-June 2020) on the Internet traffic. The datasets from Internet Service Providers, Internet Exchange Points, and academic networks, primarily in Europe, provide a unique view on the changes of Internet traffic due to pandemic and the lockdown that forced hundreds of millions of citizens to stay and work from home. The analysis shows that the increase of Internet traffic was about 15-20 % within a couple of weeks, an increase that is typically spread over multiple months under typical operation. However, traffic during peak hours does not increase by more than 5 %. The increase was noticeably higher for specific applications, e.g., remote work applications, teleconferencing, video on demand; in some cases up to 200 %. However, overall, the Internet reacted well to these unprecedented times. Y1 - 2021 UR - https://ieeexplore.ieee.org/document/9399711 SN - 978-3-8007-5474-8 N1 - Beiträge auf CD-ROM PB - VDE ER - TY - GEN A1 - Feldmann, Anja A1 - Gasser, Oliver A1 - Lichtblau, Franziska A1 - Pujol, Enric A1 - Poese, Ingmar A1 - Dietzel, Christoph A1 - Wagner, Daniel A1 - Wichtlhuber, Matthias A1 - Tapiador, Juan A1 - Vallina-Rodriguez, Narseo A1 - Hohlfeld, Oliver A1 - Smaragdakis, Georgios T1 - A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic T2 - Communications of the ACM Y1 - 2021 U6 - https://doi.org/10.1145/3465212 SN - 1557-7317 VL - 64 IS - 7 ER - TY - GEN A1 - Feal, Álvaro A1 - Vallina, Pelayo A1 - Gamba, Julien A1 - Pastrana, Sergio A1 - Nappa, Antonio A1 - Hohlfeld, Oliver A1 - Vallina-Rodriguez, Narseo A1 - Tapiador, Juan T1 - Blocklist Babel: On the Transparency and Dynamics of Open Source Blocklisting T2 - IEEE Transactions on Network and Service Management N2 - Blocklists constitute a widely-used Internet security mechanism to filter undesired network traffic based on IP/domain reputation and behavior. Many blocklists are distributed in open source form by threat intelligence providers who aggregate and process input from their own sensors, but also from thirdparty feeds or providers. Despite their wide adoption, many open-source blocklist providers lack clear documentation about their structure, curation process, contents, dynamics, and interrelationships with other providers. In this paper, we perform a transparency and content analysis of 2,093 free and open source blocklists with the aim of exploring those questions. To that end, we perform a longitudinal 6-month crawling campaign yielding more than 13.5M unique records. This allows us to shed light on their nature, dynamics, inter-provider relationships, and transparency. Specifically, we discuss how the lack of consensus on distribution formats, blocklist labeling taxonomy, content focus, and temporal dynamics creates a complex ecosystem that complicates their combined crawling, aggregation and use. We also provide observations regarding their generally low overlap as well as acute differences in terms of liveness (i.e., how frequently records get indexed and removed from the list) and the lack of documentation about their data collection processes, nature and intended purpose. We conclude the paper with recommendations in terms of transparency, accountability, and standardization. Y1 - 2021 U6 - https://doi.org/10.1109/TNSM.2021.3075552 SN - 1932-4537 PB - IEEE ER -