Distributed Ledger Fingerprinting for Digital Content Authenticity
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Solution Overview
Problem
There is a growing need to authenticate and verify the authenticity of digital content such as photos, audio, and video in various industries and workflows, as tools like Photoshop and DeepFake can easily modify and deceive, leading to increased risks of fraud and misrepresentation.
Innovation Solution
The Attestiv system uses an authentication server that communicates with a distributed ledger to manage and validate digital assets by generating and storing fingerprints, allowing for the creation of a secure chain of custody and integration with existing workflows, utilizing AI and ML for additional content generation and metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital content is stored and managed without a distributed ledger, then storage and access are simpler, but authenticity and provenance cannot be verified
Solution Approach 1:
The patent introduces a distributed ledger as an intermediary system between content creators and consumers. The ledger stores cryptographic hashes and metadata of digital content, serving as a neutral third-party verification mechanism that proves authenticity without requiring direct trust between parties. This resolves the contradiction by adding reliability through the mediator while keeping the complexity contained within the verification layer rather than the entire system.
Solution Approach 2:
The system performs preliminary actions by generating cryptographic hashes and storing them in the distributed ledger at the moment of content creation or before distribution. This preliminary recording of authenticity data allows for rapid verification later without requiring complex real-time analysis, thus improving reliability while managing complexity through advance preparation.
2Reliability
If content authenticity verification is implemented, then fraud and misrepresentation are reduced, but processing time and computational resources increase
Solution Approach 1:
Instead of verifying the entire content file, the system creates and verifies cryptographic hash copies (fingerprints) of the content. These hash copies are stored in the distributed ledger and can be rapidly compared against the original content to verify authenticity. This copying approach dramatically reduces verification time and computational resources while maintaining strong fraud prevention capabilities.
Solution Approach 2:
The patent replaces manual or complex mechanical verification processes with cryptographic algorithms and automated distributed ledger queries. The verification process substitutes human judgment and complex analysis with deterministic hash comparison and blockchain consensus mechanisms, reducing both time and computational overhead while improving reliability.
3Reliability
If a distributed ledger is used to store all content data, then authenticity is proven, but storage costs and network bandwidth requirements increase significantly
Solution Approach 1:
The patent extracts only the essential verification data (cryptographic hashes, metadata, timestamps) from the full content files and stores these extracted elements in the distributed ledger. The actual large content files remain stored in traditional storage systems. This extraction approach provides provenance tracking and authenticity verification while avoiding the prohibitive storage costs and bandwidth requirements of storing all content data on the blockchain.
Data Source
AI summary
Techniques for proving authenticity of data files, such as digital photos. An authentication/indexing server content from a client device such as a mobile device, and generates or receives other related data such as a reference to the content object, a fingerprint for the content object, and other metadata indicating for example a timestamp related to the content object. The fingerprint is inserted into a distributed ledger, with the distributed ledger returning a ledger address. A manifest object containing the transaction object, the ledger address, and a list of the content object and, optionally, related edits is then created and stored. The server may index fingerprints. Thus, a fingerprint can be used to authenticate subsequently received object against the stored metadata.


