Cryptographic Key Transfer and Authentication via Distributed Ledger
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cryptographic key generation and transmission methods in distributed networks are vulnerable to security breaches, allowing malicious actors to compromise encryption keys and gain unauthorized access.
Innovation Solution
A system utilizing an artificial neural network engine to generate symmetrical secret keys, which are encrypted with endpoint device public keys and stored on a cloud server, with authentication and data integrity ensured through Merkle trees and optical fiber networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cryptographic keys are generated and transmitted using conventional methods, then data transfer can proceed, but security vulnerabilities arise allowing malicious actors to compromise encryption keys
Solution Approach 1:
The patent introduces a distributed ledger network as an intermediary between key generation and key distribution. The neural network generates keys that are immediately secured through the distributed ledger's cryptographic consensus mechanism, preventing direct exposure to network attacks. This intermediary layer ensures that even if network communications are intercepted, the keys remain protected by the ledger's immutable record and consensus validation.
Solution Approach 2:
The system performs preliminary cryptographic binding by anchoring the neural network's key generation process to the distributed ledger before any key distribution occurs. The ledger pre-validates and records the key generation event, creating an immutable proof of key creation that prevents later tampering or compromise. This preliminary action establishes security trust before the vulnerable distribution phase.
2Productivity
If conventional key distribution methods are used, then simplicity is maintained, but computing resources and network load increase due to repeated key transmissions and validations
Solution Approach 1:
Instead of repeatedly transmitting actual cryptographic keys across the network, the system distributes cryptographic proofs and references to key generation events recorded on the distributed ledger. Each node can independently verify key authenticity by checking the immutable ledger record rather than receiving and validating multiple key transmissions. This copying approach reduces network traffic and computing overhead while maintaining security verification.
3Productivity
If weak encryption algorithms are used to generate keys, then key generation is faster and requires fewer resources, but malicious actors can easily determine the value of the encryption key
Solution Approach 1:
The patent replaces traditional cryptographic key generation algorithms with a neural network model that leverages the distributed ledger's consensus mechanism for security validation. The neural network can generate keys more efficiently using optimized computational patterns, while the distributed ledger substitution for traditional cryptographic verification provides equivalent or superior security assurance through its immutable record and consensus validation, eliminating the need for computationally intensive traditional encryption algorithms.
Data Source
AI summary
Systems, computer program products, and methods are described herein for cryptographic data transfer and authentication in a distributed network. The present invention is configured to receive credentials on an interface of an endpoint device, receive a request from the endpoint device to access a portal, authenticate the credentials via an authentication engine, receive specifications, wherein the specifications are input into the interface of the endpoint device, select, via a configuration engine comprising pre-existing configurations in a configuration database of a first storage device, a selected pre-existing configuration, determine a verification of the selected pre-existing configuration, and access the portal.