- Patent Title: Systems and methods for enhancing data protection by anonosizing structured and unstructured data and incorporating machine learning and artificial intelligence in classical and quantum computing environments
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Application No.: US15483997Application Date: 2017-04-10
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Publication No.: US10043035B2Publication Date: 2018-08-07
- Inventor: Malcolm Gary LaFever , Ted N. Myerson , Steven Mason , Colin W. Wetherbee
- Applicant: Anonos Inc.
- Applicant Address: US NY New York
- Assignee: Anonos Inc.
- Current Assignee: Anonos Inc.
- Current Assignee Address: US NY New York
- Agency: Blank Rome LLP
- Main IPC: G06F21/62
- IPC: G06F21/62 ; H04L9/06 ; H04L9/30 ; H04L29/06

Abstract:
Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the GDPR or HIPAA, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (PET), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies. Such systems, media and methods may be implemented on both classical and quantum computing devices.
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