Invention Grant
- Patent Title: System and method of information retrieval from encrypted data files through a context-aware AI engine
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Application No.: US17966674Application Date: 2022-10-14
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Publication No.: US11669554B1Publication Date: 2023-06-06
- Inventor: Alston Ghafourifar , Philip Nathan Greenberg , Mehdi Ghafourifar
- Applicant: Entefy Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Entefy Inc.
- Current Assignee: Entefy Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Haynes and Boone, LLP
- Main IPC: G06F7/02
- IPC: G06F7/02 ; G06F16/00 ; G06F16/31 ; G06F21/62 ; G06F16/14 ; G06F16/33 ; G06F16/22 ; G06F16/951

Abstract:
This disclosure relates to personalized and dynamic server-side searching techniques for encrypted data. Current so-called ‘zero-knowledge’ privacy systems (i.e., systems where the server has ‘zero-knowledge’ about the client data that it is storing) utilize servers that hold encrypted data without the decryption keys necessary to decrypt, index, and/or re-encrypt the data. As such, the servers are not able to perform any kind of meaningful server-side search process, as it would require access to the underlying decrypted data. Therefore, such prior art ‘zero-knowledge’ privacy systems provide a limited ability for a user to search through a large dataset of encrypted documents to find critical information. Disclosed herein are communications systems that offer the increased security and privacy of client-side encryption to content owners, while still providing for highly relevant server-side search-based results via the use of content correlation, predictive analysis, and augmented semantic tag clouds for the indexing of encrypted data.
Information query