Distributed-Ledger Device Screening with Dynamic Rule Trees
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Solution Overview
Problem
Managers of electronic networks face challenges in determining when a newly used device is associated with previous misappropriation attempts, particularly in distributed networks, necessitating an efficient, accurate, and secure method to detect and prevent such attempts.
Innovation Solution
A system utilizing a distributed ledger and dynamic resource transmission rule tree to identify and manage resource transmission requests from initiator devices, incorporating smart contracts to determine and update indicators for each request, allowing or blocking transactions based on predefined rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security methods are used to detect misappropriation attempts, then security protection is maintained, but the ability to determine device association with previous misappropriation attempts deteriorates
Solution Approach 1:
The system performs preliminary actions by creating a distributed ledger entry for each initiator device before processing resource transmission requests. This pre-establishes the device's transaction history and risk profile, enabling real-time detection of misappropriation attempts without compromising security. The preliminary creation of device records and their associated transaction histories allows the system to immediately identify patterns indicating misappropriation.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring resource transmission requests and updating the distributed ledger with new transaction data. When a request is processed, the outcome (allowance or blocking) is fed back into the system, updating the device's risk profile and transaction history. This feedback loop enables the system to learn from previous actions and improve its detection accuracy for future misappropriation attempts while maintaining security.
2Measurement precision
If comprehensive monitoring of all resource transmission requests is implemented, then detection accuracy is improved, but computational resources and processing time increase
Solution Approach 1:
The system applies local quality by tailoring the monitoring and processing intensity to each initiator device based on its risk profile and transaction history. Devices with higher risk scores or patterns indicating misappropriation attempts receive more intensive monitoring and automated blocking, while low-risk devices undergo simpler processing. This differentiated approach maintains high detection accuracy for problematic transactions while improving overall processing efficiency by avoiding excessive computational resources on benign requests.
Solution Approach 2:
The system implements dynamics by making the monitoring and processing parameters adaptive rather than static. The distributed ledger continuously updates device risk profiles based on transaction outcomes, and the system dynamically adjusts its response strategies. High-risk devices trigger more thorough analysis and automated blocking, while the system can quickly process low-risk transactions with simpler logic. This dynamic adaptation maintains detection accuracy while optimizing processing efficiency based on real-time risk assessment.
3Speed
If automated decision-making for resource transmission requests is implemented, then processing speed is improved, but the ability to handle complex misappropriation patterns deteriorates
Solution Approach 1:
The system achieves universality by implementing a multi-functional distributed ledger that handles multiple tasks: tracking device identifiers, storing transaction histories, maintaining risk profiles, and enabling both automated decision-making and manual review processes. This universal data structure supports various misappropriation patterns and response strategies, allowing the system to maintain high processing speed through automation while preserving the adaptability to handle complex patterns through configurable rules and manual intervention capabilities.
Data Source
AI summary
Systems, computer program products, and methods are described herein for detecting and preventing misappropriation attempts based on initiator device data and dynamic rules. The present disclosure is configured to identify a current resource transmission request from an initiator device; generate a resource transmission category type for the current resource transmission request; identify initiator device data associated with the initiator device; generate a distributed ledger associated with the initiator device; identify at least one smart contract associated with the distributed ledger; generate, based on the at least one smart contract, a dynamic resource transmission rule tree; update the current resource transmission request node with at least one of an acceptable indicator or a hold indicator based on the at least one resource transmission category; and allow, in an instance where the current resource transmission request node comprises the acceptable indicator, the current resource transmission request.