Cycled images featured on the CAIDA home page are listed here for reference.
This visualization represents macroscopic snapshots of IPv4 Internet topology samples captured in January to February 2017. For the IPv4 map, CAIDA collected data from 121 monitors located in 42 countries on 6 continents.
Date added: 2017-12-07
Over the past several months, CAIDA, in collaboration with Matthew Luckie at the University of Waikato, has upgraded Rob Beverly's original spoofing measurement system, developing new client tools for measuring IPv4 and IPv6 spoofing capabilities, along with services that provide reporting and allow users to opt-in or out of sharing the data publicly. Watch the video "What is IP Spoofing?" for an overview of what IP spoofing is and how you can install Spoofer and help.
Date added: 2017-05-24
We are now deploying small, inexpensive network measurement nodes, based on the Raspberry Pi, in the Ark measurement infrastructure. Although tiny, a Raspberry Pi is as capable as a desktop system of several generations ago and offers a flexible Linux-powered programmable platform for conducting networking research. These systems can be placed anywhere that is convenient for a hosting site, including on someone's desk, and the transition from deploying traditional rack-mounted servers to Raspberry Pi's will allow us to scale up the Ark infrastructure.
Date added: 2013-01-03
We present the BETA version of AS Rank, CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC. ASes are ranked by their customer cone size, which is the number of their direct and indirect customers. Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric.
Date added: 2011-04-21
In addition to understanding the routing policies between networks (autonomous systems), understanding where those networks interconnect is relevant to both technical and economic aspects of the Internet's inter-domain structure and stability. We offer an annotated version of our AS relationships data set that estimates the geographic location of links between pairs of networks.
Date added: 2016-09-27
A one page poster describing the NSF funded research project, "Detecting and Characterizing Internet Traffic Interception based on BGP Hijacking".
Date added: 2015-01-30
To visualize large-scale Internet events, such as a large region losing connectivity, or a stealth probe of the entire IPv4 address space, we coordinated views to study the temporal evolution of an event along different dimensions, including geographic spread, topological (address space) coverage, and traffic impact. In early 2011, there was a government-mandated Internet blackout in Egypt, which isolated the country from the rest of the Internet for more than five days. The view pictured combines a geographical representation of Egypt region along with animations of the source addresses observed during the event, both at a global level, and from the 22.214.171.124/8 network delegated to AfriNIC.
Date added: 2014-01-30
We analyzed the reputation of a country's Internet (IPv4) addresses by examining the number of blacklisted IPv4 addresses that geolocate to a given country. We compared this indicator with two qualitative measures of each country's governance. We found a correlation exists between perceived corruption and fraction of blacklisted IP addresses.
Date added: 2013-07-15
DatCat lets you find, annotate, and cite data. The goals of the system are: 1) to facilitate searching for and sharing of data among researchers, 2) to enhance documentation of datasets via a public annotation system, and 3) to advance network science by promoting reproducible research. DatCat version 3.0 makes it easier than ever to find Collections of relevant data and get right to downloading them.
Date added: 2014-08-19
A visualization of the characteristics of IPv4 "whois" data from the five Regional Internet Registries (RIRs).
Date added: 2007-10-11
The DNS workload animated maps show the number of queries and clients seen by one of the .CL nameservers in Chile and its hourly variation along two days of traces beginning on July 3rd 2007 at 21:00 (UTC). The animation provides a view of the world map and colors countries based on the load that each country originates.
Date added: 2007-08-08
This visualization shows the geographic distribution of DNS clients for anycast instances. We provide two world maps for each root, with individual anycast servers placed on the map at the "center of influence" of its observed clients. Wedges fanning out from each server indicate the direction, distance, and number of clients observed within the bounding angle of the wedge.
Date added: 2007-06-27