On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On inferring autonomous system relationships in the internet
IEEE/ACM Transactions on Networking (TON)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Internet resiliency to attacks and failures under BGP policy routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Internet routing resilience to failures: analysis and implications
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Bigfoot, sasquatch, the yeti and other missing links: what we don't know about the as graph
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Exposing a nation-centric view on the german internet --- a change in perspective on AS-Level
PAM'12 Proceedings of the 13th international conference on Passive and Active Measurement
On the benefits of using a large IXP as an internet vantage point
Proceedings of the 2013 conference on Internet measurement conference
Users get routed: traffic correlation on tor by realistic adversaries
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
A first look at IPv4 transfer markets
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
Improving the reliability of inter-AS economic inferences through a hygiene phase on BGP data
Computer Networks: The International Journal of Computer and Telecommunications Networking
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An understanding of Internet topology is central to answer various questions ranging from network resilience to peer selection or data center location. While much of prior work has examined AS-level connectivity, meaningful and relevant results from such an abstract view of Internet topology have been limited. For one, semantically, AS relationships capture business relationships and not physical connectivity. Additionally, many organizations often use multiple ASes, either to implement different routing policies, or as legacies from mergers and acquisitions. In this paper, we move beyond the traditional AS graph view of the Internet to define the problem of AS-to-organization mapping. We describe our initial steps at automating the capture of the rich semantics inherent in the AS-level ecosystem where routing and connectivity intersect with organizations. We discuss preliminary methods that identify multi-AS organizations from WHOIS data and illustrate the challenges posed by the quality of the available data and the complexity of real-world organizational relationships.