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CAIDA Research
CAIDA gathers Internet data from and across a wide variety of Internet infrastructure, including commercial, educational, research, government, and exchange point links. We analyze and visualize the collected data to better understand current and future network topology, routing, security, DNS, workload, performance, and economic issues. In addition to research, analysis, and visualization efforts, CAIDA actively pursues education and outreach, and advocates the use of quantitative analysis to objectively inform public policy discussions.

CAIDA Research Infosheet

In 2016, we prepared a two-page infosheet giving a brief overview of CAIDA and some key research efforts.

CAIDA's current research in routing focuses on applying key theoretical results in distributed computation theory to the development of protocols that will address issues of future scalability. CAIDA also analyzes available Internet addressing and routing data in support of policy discussions regarding Internet Identifier Consumption including IPv4 address exhaustion, allocations, concentration of address ownership, and IPv6 adoption.

CAIDA's topology research includes three areas: Macroscopic Topology Measurements, AS Rank Topology Analysis of the observable ISP hierarchy, and Topology Modeling for routing research.

Security research at CAIDA includes analysis of network-based attacks e.g. denial-of-service attacks, data hosting and provision, and measurement and statistical analysis of the trends and impact that certain Internet worms and viruses have on the global network infrastructure. We hope to develop meaningful and up-to-date quantitative characterizations of attack activity and to produce fundamental insights into the nature of malicious behavior on the Internet and consequently the best directions for mitigating that behavior.

Recently we have also collaborated with the MIT ANA Spoofer project to assess macroscopic trends in IPv4 source address filtering, e.g., of private or bogon addresses, which should not be exiting appropriately configured networks.

CAIDA's traffic analysis research includes more historical workload traffic studies. Workload measurements involve the collection of traffic information from a point within a network, e.g., data collected by a router or switch or by an independent device passively monitoring traffic as it traverses a network link.

We have also done limited analysis of IPv4 address space utilization observed in traffic from a few core (OC192) U.S. backbone samples, using heatmaps for visualization.

Our research has led us to realize that issues of economics, ownership, and trust create obstacles to progress on most of the top problems of the Internet. Therefore, we added Internet economics and policy to the list of our research efforts.

Driven by a desire for a better understanding of the Internet, CAIDA develops new visualization techniques to display Internet data.

Since its inception in 1997, CAIDA has conducted research and analysis in many aspects of Internet engineering. This page provides references to CAIDA's past research and analysis projects, case studies, catalogs, surveys, and reports.

  Last Modified: Fri Oct-25-2019 12:31:33 PDT
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