Amnesia new how-to tutorials
To help users quickly familiarize themselves with Amnesia's processes, we released three short tutorial videos to showcase the three main subprocesses of anonymization. The tutorial videos focus on enabling users to understand, tailor and guide the anonymization processes while exploring the quality of the anonymized data.
Amnesia is available both as an online service and a local application. It comes with a new API upgrade comprising additional internal functions exposed as ReST services, allowing more precise control of the anonymization engine. Amnesia latest version (v 1.2.8) includes a significant interface upgrade for pseudo-anonymization that supports user-defined masking rules.
The first tutorial encompasses the dataset loading process, guiding users step-by-step to load a dataset, select the direct and quasi-identifiers, and the data and field types. This video sets a common ground for understanding the different data types and the corresponding anonymization needs.
- The second video guides the user in generating a data hierarchy for a pre-loaded dataset and setting the anonymization rules, either automated or manually. At the same time, this video helps users to familiarize themselves with the fundamentals regarding hierarchies.
- The third tutorial video focuses on assisting users in anonymizing their pre-loaded data using the generated hierarchies. This video emphasizes anonymization algorithms and guarantees (k-anonymity and km-anonymity), helps users navigate the solution space and choose a suitable solution for their needs.
Watch the tutorials here: https://amnesia.openaire.eu/tutorials.html
Amnesia is a flexible, user-friendly, free, and open-source data anonymization tool that transforms relational and transactional data to anonymized datasets where formal privacy guarantees hold by (1) removing direct identifiers (names, SSNs, etc.) and (2) transforming secondary identifiers (birth dates, zip codes, etc.).
Do you have more questions? Send you email here amnesia-helpdesk [at] imis.athena-innovation.gr and follow us on Twitter @AmnesiaTool