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Enhancing data security and access control using machine learning

A technology for data access and machine learning models, applied in the field of using machine learning to enhance data security and access control, to solve problems such as inability to obtain valuable data from others

Pending Publication Date: 2022-07-22
ALCON INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At a high level, this can have a negative impact on society's innovative progress, because valuable data that others might use to advance innovation is often unavailable due to restricted access without considering the impact of such restriction

Method used

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  • Enhancing data security and access control using machine learning
  • Enhancing data security and access control using machine learning
  • Enhancing data security and access control using machine learning

Examples

Experimental program
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Embodiment Construction

[0022] Embodiments of the present disclosure provide techniques for effective data access control that ensure data privacy and security are maintained, while also enabling flexible access where data access is beneficial without corresponding harm. Advantageously, such a system could automatically provide access to valuable data in a defined manner, such that data that could benefit from sharing is shared, while data that could cause harm (eg, by identifying specific individuals leading to privacy concerns) is shared will not execute. This fine-tuned data sharing is simply not possible with existing approaches that utilize an all-or-nothing approach to data sharing. For example, based on the vast amount of data collected by existing systems, current mechanisms for manually determining what data to share make it practically impossible to provide the level of flexibility in data sharing discussed herein. Therefore, this manual mechanism may be overly cautious and overly restrict...

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PUM

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Abstract

Techniques are provided for controlling data access using machine learning. In an aspect, a first training dataset, a second training dataset, and a third training dataset are generated from a set of historical access records and a set of historical data records, where the access records correspond to a data request and include information identifying whether the request satisfies one or more data access rules, and the data record corresponds to a data element and includes information identifying whether the data element satisfies the one or more data access rules. One or more machine learning models are trained based on the first training data set, the second training data set, and the third training data set to generate an output identifying whether a data request should be granted.

Description

[0001] introduction [0002] Aspects of this disclosure relate to data access and security, and more particularly, to the use of machine learning to drive data visibility, control, access, and security decisions. Background technique [0003] A wide variety of global systems have been used to collect and store data about any number of data subjects, such as patients, users, or any other individual or entity described by the processed and stored data. For example, healthcare data is typically maintained for each patient in a given institution. This healthcare data can include any number and variety of data elements such as diagnoses, genetic information, clinical records, medications the patient is taking (or previously prescribed), surgical inpatient or outpatient procedures, or other surgical procedures that have been performed or recommended surgery etc. Typically, this data is subject to various protections and requirements related to data security and user privacy. Howe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/60G06F21/62G06F21/55G06N20/20H04L9/40
CPCG06F21/6272G06F21/604H04L63/102G06F21/316G06F21/552G06N20/20G06F21/6218
Inventor U·钱德拉谢卡尔
Owner ALCON INC