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CAIDA: Cooperative Association for Internet Data Analysis
Data Sharing and Anonymization

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Privacy, security, legal, proprietary ownership, and other economic complications often prevent distribution of Internet data. This section describes the benefits and drawbacks of data anonymization efforts in general as well as detailing specific anonymization techniques. CAIDA's research on anonymization techniques and implications is supported by the PREDICT project.
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Data Sharing Overview

Researchers require current data on Internet traffic in order to study all aspects of a rapidly evolving communication system. Areas of research include routing, topology, security, workload and utilization characterization, modeling, simulation, protocol development, wireless, and economic data. Information on CAIDA's datasets can be found in the data section of our website. CAIDA's datasets are also indexed in DatCat, the Internet Measurement Data Catalog.

Data sharing requires balancing many privacy, security, and legal interests. Anonymization of data can mitigate privacy and security concerns and comply with legal requirements. Anonymization is not invulnerable; countermeasures that compromise current anonymization techniques can expose protected information in released datasets.

Data Sharing and Anonymization Reading List


Cooperative Association for Internet Data Analysis (CAIDA)
  Last Modified: Tues Mar-24-2009 13:56:2 PDT
  Page URL: http://www.caida.org/data/anonymization/index.xml