We designed chips of the truly random number generator-based private aggregatable randomized response for crowdsourced data collection following TSMC 18nm process. It makes the data not be subject to the regulations of GDPR. Our system has been validated to ensure data de-identification and high utility based on spintronics or any truly random number generator co-design multilayer randomized responses.

Our approach (called SPARR for short) can employ a set of MTJs as a spintronics-based TRNG to derive true random numbers. With the TRNG and design of four coin flips, SPARR can preserve privacy and crowdsource population statistics on data collected from individuals and accurately rebuild the data. Notably, it has been successfully fabricated using TSMC 18nm process.

Our de-identification chips have a forward-looking, innovative IoT architecture and applications; For private IoT streaming data collection, our chips are currently the only one on the market using TRNG to guarantee data privacy This research is mainly supported by Etron Technology, Inc., which can help Etron Technology, Inc. to prioritize  the market of the IoT data privacy applications. And, we can promote our chips to financial systems.