Encrypted Search via Semantic Tag Cloud Correlation
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Solution Overview
Problem
Current communication systems fail to provide seamless search capabilities across multiple formats and protocols, leading to fragmented user experiences and inefficiencies, while 'zero-knowledge' privacy systems cannot perform meaningful server-side searches on encrypted data without decryption keys.
Innovation Solution
A multi-format, multi-protocol communication system that uses client-generated Small Tag Clouds for semantic analysis, allowing for advanced search capabilities on encrypted data by creating a predictive Large Tag Cloud that can be compared to other tag clouds, enabling relevant search results without decrypting the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If zero-knowledge privacy systems store encrypted data without decryption keys, then security and privacy are improved, but the ability to perform server-side search is lost
Solution Approach 1:
The patent segments the indexing process into two distinct parts: (1) client-side generation of encrypted document fingerprints and tags, and (2) server-side storage and comparison of these encrypted representations. This segmentation allows the server to perform search operations on encrypted data without needing decryption keys, resolving the contradiction between security and search capability.
Solution Approach 2:
The patent introduces encrypted document fingerprints and tags as intermediary representations that bridge the gap between encrypted storage and search functionality. These intermediaries contain sufficient information for meaningful search comparisons while remaining encrypted, enabling the server to perform search operations without accessing the actual plaintext content.
2Loss of information
If conversations are tracked across multiple formats and protocols, then search relevance is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal search mechanism that operates across multiple communication formats and protocols (email, SMS, IM, etc.) through a common encrypted fingerprinting approach. The server uses protocol-agnostic encrypted tags and fingerprints to perform search operations, allowing single searches to span diverse communication types without requiring separate indexing systems for each protocol.
Solution Approach 2:
The patent creates simplified copies of document content in the form of encrypted fingerprints and tags that capture essential semantic information. These encrypted representations serve as lightweight substitutes for full document content, enabling efficient cross-protocol search operations without needing to process or store the actual multi-format communication data on the server.
Data Source
AI summary
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.