@article{DombrowskiErmakovaFabian2019,
  author    = {Dombrowski, Sebastian and Ermakova, Tatiana and Fabian, Benjamin},
  title     = {Graph-based analysis of cloud connectivity at the internet protocol level},
  series = {International Journal of Communication Networks and Distributed Systems (IJCNDS)},
  volume    = {23},
  journal   = {International Journal of Communication Networks and Distributed Systems (IJCNDS)},
  number    = {1},
  publisher = {Inderscience Enterprises Ltd},
  address   = {Geneva},
  issn      = {1754-3916},
  doi       = {10.1504/IJCNDS.2019.100644},
  pages     = {117 -- 142},
  year      = {2019},
  abstract  = {Internet connectivity of cloud services is of exceptional importance for both their providers and consumers. This article demonstrates the outlines of a method for measuring cloud-service connectivity at the internet protocol level from a client's perspective. For this, we actively collect connectivity data via traceroute measurements from PlanetLab to several major cloud services. Furthermore, we construct graph models from the collected data, and analyse the connectivity of the services based on important graph-based measures. Then, random and targeted node removal attacks are simulated, and the corresponding vulnerability of cloud services is evaluated. Our results indicate that cloud service hosts are, on average, much better connected than average hosts. However, when interconnecting nodes are removed in a targeted manner, cloud connectivity is dramatically reduced.},
  language  = {en}
}
@misc{FabianBaumannEhlertetal.2017,
  author    = {Fabian, Benjamin and Baumann, Annika and Ehlert, Mathias and Ververis, Vasilis and Ermakova, Tatiana},
  title     = {CORIA - Analyzing internet connectivity risks using network graphs},
  series = {2017 IEEE International Conference on Communications (ICC)},
  journal   = {2017 IEEE International Conference on Communications (ICC)},
  publisher = {IEEE},
  address   = {Piscataway},
  isbn      = {978-1-4673-8999-0},
  issn      = {1550-3607},
  doi       = {10.1109/ICC.2017.7996828},
  pages     = {6},
  year      = {2017},
  abstract  = {The Internet can be considered as the most important infrastructure for modern society and businesses. A loss of Internet connectivity has strong negative financial impacts for businesses and economies. Therefore, assessing Internet connectivity, in particular beyond their own premises and area of direct control, is of growing importance in the face of potential failures, accidents, and malicious attacks. This paper presents CORIA, a software framework for an easy analysis of connectivity risks based on large network graphs. It provides researchers, risk analysts, network managers and security consultants with a tool to assess an organization's connectivity and paths options through the Internet backbone, including a user-friendly and insightful visual representation of results. CORIA is flexibly extensible in terms of novel data sets, graph metrics, and risk scores that enable further use cases. The performance of CORIA is evaluated by several experiments on the Internet graph and further randomly generated networks.},
  language  = {en}
}