Edge Document Hashing for Secure Centralized Storage
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Solution Overview
Problem
The existing methods for transmitting documents across networks face challenges such as high storage burdens on centralized data repositories, increased latency, and heightened security risks due to man-in-the-middle and interception attacks, particularly when large data files are transmitted over long distances using high-bandwidth communication lines.
Innovation Solution
Storing documents on edge computing devices and using hashing algorithms to generate hash-values, which are transmitted over low-bandwidth communication lines, along with pointers to the document's location, reducing the need for full document transmission and minimizing security risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transmitted from edge devices to centralized repository, then data can be stored and accessed centrally, but security risks increase due to transmission exposure
Solution Approach 1:
The patent extracts only the essential identification element (hash value) from the complete data set and transmits it to the centralized repository, while the sensitive original data remains localized at edge devices. This extraction principle eliminates the need to transmit large amounts of sensitive data, thereby reducing interception risks while maintaining centralized accessibility for verification purposes.
Solution Approach 2:
The patent introduces a hash value as an intermediary element that mediates between the need for centralized data management and security concerns. The hash value serves as a safe representative that can be transmitted and stored centrally without exposing the actual sensitive data, thus acting as a protective intermediary that enables centralized functionality while maintaining security.
2Ease of operation
If large data files are transmitted over communication lines, then complete data can be accessed remotely, but bandwidth requirements increase and latency is introduced
Solution Approach 1:
The patent extracts only the critical identification component (hash value) from the complete data file and transmits this condensed representation to the centralized repository. This extraction eliminates the need to transmit entire large data files for storage or verification purposes, dramatically reducing transmission time and latency while maintaining the ability to identify and retrieve specific documents when needed.
3Adaptability or versatility
If data is stored at centralized repository, then centralized management is achieved, but storage burden on repository increases
Solution Approach 1:
The patent extracts only the essential identification element (hash value) from complete documents and stores this condensed representation at the centralized repository. This extraction principle enables centralized management and tracking of documents across the network while reducing the storage burden at the repository by several orders of magnitude, as hash values occupy minimal space compared to original documents.
Solution Approach 2:
The patent creates a simplified copy (hash value) of the original document that retains the essential identification properties needed for centralized management. This copy serves as a lightweight representative that enables centralized tracking, verification, and document retrieval capabilities without requiring the repository to store the full original documents, thus maintaining versatility while reducing storage requirements.
Data Source
AI summary
Methods for reducing storage demands at a centralized database and for reducing probability of a security breach such as an interception attack and a man-in-the-middle attack. Methods may include obtaining a document at the edge computing device. Methods may further include storing the document at the edge computing device. Methods may include executing, using a processor, on the edge computing device, a hashing algorithm on the document. Methods may include outputting, using the processor, a hash-value that is an outcome of the hashing algorithm, where the hash-value corresponds to the document. Methods may include transmitting, using the processor, the hash-value to the centralized database over a low bandwidth communication line while maintaining a storage of the hash-value at the edge computing device. Methods may include storing the hash-value at the centralized database. The hash-value may provide a condensed representation of the document.