Internet traffic analysis at scale

In this talk, I will use multiple internet measurement studies as examples to outline the challenges that we face when performing internet-scale traffic analysis, including implications of the COVID-19 pandemic on internet traffic as well as detecting IoT devices through the lens of an ISP. Using this as motivation, I will discuss the challenges of working with network-wide flow data and correlating such data with other datasets.

The Investigation of Dependence Between the Internet Measurement and Globalization

Under the new measurement for the internet supplied from the Cooperative Association for Internet Data Analysis (CAIDA), the authors relax the orthogonal and normality condition with the methodology based on empirical codependence structures and marginal distributions. The nonparametric dependence between the diffusion of the internet and different globalization indices is examined using a panel of 10 countries, as long as error terms do not follow multivariate Gaussian distributions. The model selections are ranked and the authors find the best dependence model. The empirical dependence of the Internet diffusion on the globalization is further demonstrated from the dynamic copula analysis.