Digital Vault Segmentation for Secure Online Form Filling
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Solution Overview
Problem
Existing online form filling technologies pose security risks by storing digital objects in plain text or unsecured locations, making them vulnerable to unauthorized access, especially when users' computers are infected with viruses.
Innovation Solution
A computer system and method that utilize digital vaults and a pre-trained rule-based machine learning model to identify compatible safes for retrieving digital objects, allowing secure storage and retrieval without exposing all user data to a single location, thereby enhancing security by distributing data across multiple vaults and avoiding direct API access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital objects are stored in browser autofill or personal information space, then online form filling efficiency is improved, but security of digital objects deteriorates due to vulnerability to virus attacks and unauthorized access
Solution Approach 1:
The patent segments the centralized personal information space into multiple distributed digital safes, each storing only specific types of digital objects. This segmentation prevents a single point of failure, as viruses or attacks on one safe do not compromise all digital objects. The form filling process queries multiple safes selectively based on form semantics, maintaining efficiency while improving security through distribution.
Solution Approach 2:
The patent introduces an intermediary layer consisting of digital safe agents and a query processing system that mediates between the user's browsing activity and the stored digital objects. Instead of direct browser access to centralized storage, the system uses semantic analysis of form fields to query appropriate digital safes through controlled interfaces, preventing unauthorized access while enabling efficient retrieval.
2Loss of time
If all digital objects are stored in a single personal information space, then form filling speed is improved, but the system becomes vulnerable to single-point security failures
Solution Approach 1:
The patent divides the personal information space into multiple independent digital safes, each with specific security boundaries. Digital objects are distributed across these safes based on type or sensitivity, so that a virus affecting one safe cannot access objects in other safes. This segmentation maintains quick access to needed objects while eliminating the single-point vulnerability of centralized storage.
Solution Approach 2:
Each digital safe is configured with specific security properties and access controls tailored to the types of digital objects it stores. This local quality allows different security measures to be applied to different safes based on their specific risk profiles, rather than applying a uniform security model to all objects, thereby reducing overall vulnerability while maintaining fast retrieval.
3Reliability
If digital objects are stored in encrypted form on the user's computer, then security is improved, but access speed deteriorates due to decryption overhead
Solution Approach 1:
The patent implements preliminary action by pre-configuring digital safes with appropriate encryption schemes and access control policies before storing digital objects. The semantic analysis framework pre-identifies which digital objects are relevant to upcoming form fields, allowing the system to prepare and decrypt only the necessary data in advance, rather than decrypting all stored objects. This reduces decryption overhead while maintaining security.
Solution Approach 2:
The system applies partial decryption or partial access to only the specific digital objects needed for the current form filling task, rather than decrypting or accessing all stored objects. The semantic query mechanism identifies and retrieves only the relevant subset of digital objects from the distributed safes, minimizing decryption overhead and access time while maintaining security for unrelated objects.
Data Source
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AI summary
The invention relates to computer systems (100) and methods (200, 300) for assisting a user in the completion of online form fields. The general principle of the invention is based on assisting with the completion of online forms. Indeed, rather than automatically completing online form fields, the invention proposes to invite the user to choose the digital object that best corresponds to the form field to be completed. In practice, the invention uses machine learning to train a model capable of automatically identifying the form fields suitable for receiving digital objects corresponding to predetermined semantics. Moreover, the invention uses a computer architecture that comprises digital safes for storing digital objects. Thus, the data are no longer stored in the web browser, but in a secure place on the internet.