AMITÉ: Annotation and Mapping of Internet Topology at the Edges

Summary People Publications Software Datasets Related Links

Project Summary

The goal of the AMITÉ research project is to develop new techniques, tools and datasets that provide a frequently-updated, edge-considering, annotated Internet topology. Unlike current work, our goal is to rapidly track Internet changes, to extend mapping as far to the Internet edges as possible, and to annotate the map with information about the network.

We expect that the resulting Internet mapping techniques and tools will be useful to understand other complex network topologies in greater detail. We expect that the maps themselves will be useful to other researchers to understand and improve network security and defenses, how the Internet is used, and how to better guide its evolution. We plan to make our data and tools available as possible through the PREDICT program and on request.

AMITÉ is a joint research effort of USC's Information Sciences Institute and Computer Science Department, and part of the ANT: the Analysis of Network Traffic research group. It is supported by the US DHS CyberSecurity program through contract (number 09-C-0081).

People

(listed alphabetically)

Xue Cai
Xun Fan
Ramesh Govindan (co-PI, USC/CSD)
John Heidemann (PI, USC/CSD)
Yuri Pradkin

Publications

Xun Fan, John Heidemann, and Ramesh Govindan. Evaluating Anycast in the Domain Name System. In Proceedings of the IEEE Infocom, p. to appear. Turin, Italy, IEEE. April, 2013. <http://www.isi.edu/~johnh/PAPERS/Fan13a.html>.

Zi Hu, John Heidemann and Yuri Pradkin. Towards Geolocation of Millions of IP Addresses In Proceedings of the ACM Internet Measurement Conference, to appear. Boston, MA, USA, ACM. 2012.

Xun Fan, John Heidemann and Ramesh Govindan. Characterizing Anycast in the Domain Name System Technical Report ISI-TR-681, USC/Information Sciences Institute, June, 2012.

Zi Hu, John Heidemann and Yuri Pradkin. Towards Geolocation of Millions of IP Addresses Technical Report ISI-TR-680, USC/Information Sciences Institute, June, 2012.

Xue Cai, John Heidemann, Balachander Krishnamurthy and Walter Willinger. An Organization-Level View of the Internet and its Implications (extended) Technical Report ISI-TR-679, USC/Information Sciences Institute, June, 2012.

Xun Fan, John Heidemann and Ramesh Govindan. Identifying and Characterizing Anycast in the Domain Name System. Technical Report N. ISI-TR-671, USC/Information Sciences Institute, June, 2011.
Xun Fan and John Heidemann. Selecting Representative IP Addresses for Internet Topology Studies. In Proceedings of the ACM Internet Measurement Conference, Melbourne, Australia, ACM. November, 2010.

Xue Cai, John Heidemann, Balachander Krishnamurthy, and Walter Willinger. Towards an AS-to-Organization Map. In Proceedings of the ACM Internet Measurement Conference, p. to appear. Melbourne, Australia, ACM. November, 2010.
Xue Cai and John Heidemann. Understanding Block-level Address Usage in the Visible Internet. In Proceedings of the ACM SIGCOMM Conference, New Delhi, India, ACM. August, 2010.

For related publications, please see the ANT publications web page.

Software

See the see the ANT distribution web page.

Datasets

IP Address Hitlists: An IP Address Space Hitlist is a list of IP addresses (representives) that cover the IPv4 address space. Our goal is to provide representatives that are responsive, complete and stable: that is, addresses that respond to pings and traceroutes (with high probability), that cover every allocated IPv4 /24 prefix, and that do not change much over time. For more information, please refer to our dataset page.