Location data can reveal sensitive information about persons, which leads 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 Real-Time Anonymizer customizable pipeline template provides a simple way to customize, configure, and deploy the required real-time anonymization on the HERE platform. The Real-Time Anonymizer contains a set of algorithms for performing use case specific anonymization of real-time location data, including the following features:
The 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.
The Real-Time Anonymizer supports you with the following:
The Real-Time Anonymizer is a streaming pipeline, ingesting data from a raw 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 needing to write any code. Each template is designed to perform a specific task and can be customized to accommodate your particular use case. The Real-Time Anonymizer is made available as a template for ease of deployment.
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Primarily, the Real-Time Anonymizer helps you with the following objectives:
Additionally, you can use the Real-Time Anonymizer to process location data for the following use case.
You can use vehicle probe data points to derive traffic information. With the 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 the privacy breach.