anonymization , także: anonymisation

Standards for anonymization, and even definitions, are by no means settled.

There are many different anonymization services the bad guys are using.

Anonymization may require more than simply removing names, identity numbers, etc.

Work from this group focuses upon log anonymization and Internet privacy.

On the other hand, device fingerprints are relatively resistant to anonymization.

When the intent is privacy protection, it is often called data anonymization.

The best anonymization is to get rid of all the identifying information,' Schwartz said. '

The purpose of de-identification and anonymization is to use health care data in larger increments, for research purposes.

Generalization and perturbation are the two popular anonymization approaches for relational data.

The anonymization engine is agnostic to the syntax of the actual log.

Data anonymization is a type of information sanitization whose intent is privacy protection.

(3) With a flexible anonymization policy language, complex policies that make trade-offs between information loss and security can be made.

Another ethical constraint and a possible disadvantage to cyberethnography is the intricate anonymization of the data.

The Datafly algorithm has been criticized for trying to achieve anonymization by over-generalization.

It also recently began its anonymization of the data it stores through the "Google Suggest" feature.

Microsoft retains search data for 18 months, after which it says it moves to “complete anonymization.”

However, as the Netflix contest dramatically revealed so much of data is available, even after anonymization, that a specific individual's identity could be re-discovered.

The l-diversity model adds the promotion of intra-group diversity for sensitive values in the anonymization mechanism.

The major focus is the anonymization of quasi-identifiers such as gender, data of birth and postal/zip codes.

The stakes of this debate will only increase in the coming years as anonymization and privacy technologies enter further into the mainstream of tech culture.

At the safeguarding level, it is necessary to consider whether appropriate mechanisms exist for encryption, anonymization and sharing of data.

• Anonymization terms are not consistent with the TCPS 3.

They also state that for numeric attributes, using t-closeness anonymization is more effective than many other privacy-preserving data mining methods.

The anonymization is accomplished by stripping off the last four digits of the IP address associated with the query.

Filter data to make them friendly usable or public via anonymization process for privacy protection (for example)