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Center for Applied Internet Data Analysis > data : anonymization
Data Anonymization
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.

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

  Last Modified: Tue Oct-13-2020 22:22:00 UTC
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