Skip to content

ersinbyrktr/Data-Anonymization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

35 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data-Anonymization

Installation

Cloning the library by simply executing

git clone https://github.com/ersinbyrktr/Data-Anonymization.git

is enough to download the library. We used Maven framework to handle all dependencies except ARX library since it wasn’t possible because of lack of framework support in ARX. So, in case an IDE used, the import operation of modules in pom.xml will be achieved automatically. On the other hand for ARX library a manual operation might be required depending on the IDE.

For Intellij IDE: Right clicking on lib/libarx-3.7.0.jar file and click on the “Add as Library...” option.

For Eclipse: Go to Properties (for the Project) -> Java Build Path -> Libraries , select lib/libarx-3.7.0.jar and click on the source , there will be option to attach the source and Javadocs.

Preparing Database / Importing Data

If you use the cloud hosted Databases, no data import is necessary. For the locally run database we provide the following files which can be run through the database interface to import the example data.

  • Postgres.sql
  • use_case_dataset.sql
  • exampleMongoDBData.json

Executing the Examples

The library provides three example implementations (“ExampleMongo, ExampleSQL…) with a small and easy to evaluate dataset, as well as one example (ExampleUseCase) with a bigger dataset (about 20000 rows), which represent a more complex system, as explained in the use case section. Following will be a short introduction of how the “examplPostgres” works. …

All four examples can be run by executing the “public static void main” function. The result of the anonymization will be printed in the output console. Like shown here.

Hierarchies

ARX uses full-domain generalizations for achieving the k-anonymity. These hierarchies should be provided by the user for each distinct value in the database requiring user to manually add all the values and corresponding hierarchies. We identified certain hierarchies like StarHierarchy and RangeHierarchy those does not require this overhead of preprocessing by the user and implemented those as part of database service. This provides common implementation for all the database services, by extending the generalized class user can benefit from these simplifications in their custom database service. However, all types of columns can be inferred for building hierarchies without user knowledge, for example, Street can be generalized with hierarchiy of Street, Area, District,City with increasing order of generalization and this cannot be inferred without user knowledge. We suggest building pool of such hierarchies to achieve reusability.

Suppression based l-diversity:

ARX in its current state can only process the data if all the data points in the input has l distinct values. We provided suppression based l-diversity that can be configured by users, in this mode database connector drops the values that do not meet the necessary l criteria and considers the data that satisfies l-diversity. To use suppression based l-diversity user need to set ARX configuration with l-diversity parameter as 1 and execute query against database with the “executeQueryWithSuppression” provided by database connector. This gives partial data that is anonymized with l-diversity.

About

K-anonymity and l-diversity implementation

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •