Cryptocurrency Wallet Risk Scoring for Real-Time Transaction Screening
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Solution Overview
Problem
Cryptocurrency transactions are vulnerable to fraud and unauthorized activities due to their decentralized and pseudonymous nature, with existing systems failing to provide real-time risk assessment and compliance enforcement, leading to potential financial losses and resource wastage.
Innovation Solution
A cryptocurrency wallet system that intercepts transactions, screens addresses against risk and sanctions, implements organizational rules through an administrative interface, and performs continuous monitoring to block or alert on unauthorized transactions, using machine learning for automated decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an allow list of addresses is used to permit transactions, then transaction speed and ease of operation are improved, but security and reliability deteriorate because the allow list can be exploited by fraudsters for unauthorized transactions
Solution Approach 1:
The system performs preliminary risk assessment and address screening before allowing transactions to proceed. By evaluating counterparty addresses against multiple risk indicators and databases in advance, the system prevents fraudulent transactions from being initiated, thus maintaining both speed and security.
Solution Approach 2:
The patent introduces an intermediary risk assessment layer between the user and the transaction execution. This intermediary system evaluates addresses using multiple criteria (sanctions lists, fraud databases, behavioral analysis) and provides risk scores that inform the transaction decision, preventing direct exploitation of simple allow lists by fraudsters.
2Reliability
If real-time risk assessment and address screening are implemented, then security and reliability are improved, but device complexity and computational resources increase
Solution Approach 1:
The risk assessment system is segmented into multiple independent components: address validation module, sanctions screening module, fraud database checking module, and risk scoring module. Each component handles a specific aspect of security, making the overall system more manageable and maintainable while providing comprehensive protection.
Solution Approach 2:
Risk assessment rules and address screening criteria are pre-configured and cached before transaction processing. This preliminary preparation reduces computational complexity during actual transaction execution, as the system only needs to query pre-processed data rather than performing complex analysis in real-time.
3Reliability
If comprehensive fraud detection mechanisms are implemented, then security is improved, but transaction processing time and loss of time increase
Solution Approach 1:
The system applies different levels of scrutiny to different transaction scenarios based on local risk indicators. Low-risk transactions with well-established counterparties undergo minimal verification, while high-risk transactions trigger more comprehensive checks. This localized approach to security maintains speed for safe transactions while providing thorough protection when needed.
Solution Approach 2:
Address screening data and risk parameters are pre-loaded and cached before transaction processing. By having this information ready in advance, the system minimizes the time added to transaction processing, as the actual verification involves querying pre-prepared data rather than performing extensive real-time analysis.
4Reliability
If the system blocks transactions not on the allow list, then security is improved, but adaptability and versatility worsen because legitimate transactions may be blocked
Solution Approach 1:
The system incorporates feedback mechanisms where users can report false positives (legitimate transactions incorrectly blocked) and provide feedback on risk assessments. This feedback is used to continuously refine the risk assessment algorithms and update the allow list, improving both security and adaptability over time while maintaining user trust.
Data Source
AI summary
A computerized system and method for securing a cryptocurrency wallet is provided. A transaction proposed by a user of a cryptocurrency wallet is intercepted and an address of counterparty is extracted from the transaction. If the address of the counterparty matches with an address in an allow list, a risk score is displayed for the proposed transaction. In response to displaying the risk score, an indication whether to submit or abort the proposed transaction may be received. If the indication is to submit the proposed transaction, the transaction is submitted. If the indication is to abort the proposed transaction, the transaction is aborted. In some examples, the indication to submit or abort the proposed transaction may be automatically generated based on machine learning from user behavior with earlier transactions with similar risk scores.