17942258. Privacy Preserving System And Method For Software As A Service Platforms simplified abstract (Google LLC)

Privacy Preserving System And Method For Software As A Service Platforms

Organization Name

Google LLC

Inventor(s)

Lukas Alexander Fleischer of Waterloo (CA)

Geoff Oitment of West Montrose (CA)

Jia Herr Tee of Kitchener (CA)

Zigmars Rasscevskis of Zürich (CH)

Kaveh Ghasemloo of Toronto (CA)

Grant Davis of Ariss (CA)

Nirmal Veerasamy of Waterloo (CA)

Katherine K. Sheridan-Barbian Ortiz of Greenwich CT (US)

Matthew Ichinose of Washington DC (US)

Vinsensius B. Vega S. Naryanto of Zürich (CH)

Privacy Preserving System And Method For Software As A Service Platforms - A simplified explanation of the abstract

This abstract first appeared for US patent application 17942258 titled 'Privacy Preserving System And Method For Software As A Service Platforms

Simplified Explanation

The abstract describes a system for protecting non-public data used in computer-based trials, generating reports based on the trials, and allowing data providers and trial providers to access the reports without revealing the non-public data.

• The system allows data providers to input non-public data for computer-based trials.
• Trial providers can run the computer-based trials and view reports generated from them without accessing the non-public data.
• A cloud provider offers infrastructure for storing source code, non-public data, and reports, as well as executing the trials and generating reports.

Potential Applications

This technology could be applied in various industries such as pharmaceuticals, healthcare, finance, and research where sensitive data needs to be protected during trials and analysis.

Problems Solved

This system addresses the issue of protecting non-public data while still allowing for the evaluation and analysis of computer-based trials.

Benefits

The system provides a secure way to handle sensitive data, ensures privacy and confidentiality, and streamlines the process of conducting and analyzing computer-based trials.

Potential Commercial Applications

Potential commercial applications include software platforms for conducting computer-based trials, data protection services for research organizations, and cloud infrastructure services for storing and analyzing trial data securely.

Possible Prior Art

One possible prior art could be existing systems for secure data storage and analysis in research and clinical trials, but the specific features of this system for protecting non-public data in computer-based trials may be unique.

How does the system ensure the security of the non-public data during the trials and report generation process?

The system may use encryption, access controls, and other security measures to protect the non-public data, but the specific methods are not detailed in the abstract.

What types of performance metrics or data points are included in the reports generated from the computer-based trials?

The abstract mentions that reports contain performance metrics or other data points, but the specific details of what these metrics are and how they are used are not provided.

Original Abstract Submitted

Aspects of the disclosure are directed to protecting non-public data used in computer-based trials. Reports can be generated based on the computer-based trials that contain performance metrics or other data points to evaluate the computer-based trials. The reports can be viewed by data providers and/or trial providers without divulging the non-public data. Data providers can provide the non-public data for running the computer-based trials. Trial providers can run the computer-based trials. A cloud provider can provide infrastructure for storing source code for the computer-based trials, the non-public data, and reports generated from the computer-based trials. The cloud provider can also provide infrastructure for executing the computer-based trials and generating the reports from the computer-based trials.