Location data may reveal sensitive information about persons, which may lead to a privacy breach. When anonymizing raw location data, a balance needs to be achieved between the user anonymity level and utility of the anonymized data.
The customizable pipeline template for Real-Time Anonymizer provides a simple way to customize, configure, and deploy the required real-time anonymization on the HERE platform. Real-Time Anonymizer contains a set of algorithms for performing specific use case anonymization of real-time location data, including the following features:
Real-Time Anonymizer works with streaming layers ( queues that stream data to data consumers) only. Versioned, volatile and index layers are not compatible with this pipeline.
Real-Time Anonymizer supports you with the following features:
Real-Time Anonymizer is a streaming pipeline, ingesting raw data from a location data streaming layer and outputting the anonymized data to a separate streaming layer. The input streaming layer provides a queue that streams real-time data to data consumers. The output streaming layer contains real-time anonymized data that can be read by multiple consumers.
HERE Customizable Pipeline Templates provide a simple way for deploying custom, configurable pipelines on the HERE platform. They can be deployed as part of your own workflow without writing any code. Each template is designed to perform a specific task and can be customized to accommodate your particular use case. Real-Time Anonymizer is made available as a template for ease of deployment.
Real-Time Anonymizer is intended to be used only in a manner and for the purposes described in this documentation. When using this product, ensure that you use it only in compliance with these requirements. If the requirements are not met, the product might not work as intended. HERE is not responsible or liable for any use of the product. For the terms and conditions that cover this documentation, see the HERE Documentation License .
Primarily, Real-Time Anonymizer helps you with the following objectives:
Additionally, you can use Real-Time Anonymizer to process location data for the Traffic Information use case:
You can use vehicle's probe data points to derive traffic information. With Real-Time Anonymizer, your program can optimally anonymize raw probe points. This way, the anonymized data offers maximum value for deriving traffic information while also protecting persons against privacy breaches.