Distributed Ledger Proof of Integrity for Ransomware Asset Control
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Solution Overview
Problem
Existing cybersecurity measures in computer networks are inadequate in preventing and managing ransomware attacks, particularly in decentralized environments, as they often disrupt legitimate transactions and lack the subtlety needed for ambiguous scenarios, and traditional fraud prevention systems fail to provide dynamic control over assets post-transaction.
Innovation Solution
A proof of integrity (PoI) model integrated into distributed ledger technology (DLT) networks that embeds protection parameters within transaction blocks, allowing transactions to proceed conditionally while monitoring and controlling assets, using smart contracts and external ledgers to enforce compliance and integrity checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fraud prevention systems are used, then security against ransomware attacks is improved, but legitimate transactions are disrupted
Solution Approach 1:
The system applies different levels of scrutiny and control to different transactions based on their characteristics. Protection parameters are selectively applied to specific digital assets based on risk assessment, allowing low-risk legitimate transactions to proceed smoothly while subjecting suspicious transactions to enhanced monitoring and control measures.
Solution Approach 2:
The protection model dynamically adjusts its behavior based on transaction characteristics and risk indicators. The system can transition transactions between different states (approved, pending review, blocked) based on real-time analysis, allowing legitimate transactions to proceed while adapting control measures to emerging threats.
2Reliability
If protection parameters are embedded in all transactions, then control over illicit asset transfers is improved, but transaction complexity increases
Solution Approach 1:
The system extracts and separates protection parameters from the core transaction data, storing them in a distinct manner within the distributed ledger. This allows the transaction itself to remain simple while the protection parameters provide the necessary control layer, reducing the complexity burden on the transaction structure.
Solution Approach 2:
The transaction record is segmented into distinct components: core transaction data and protection parameters. This segmentation allows each component to be optimized independently - the transaction data remains simple for processing while the protection parameters provide comprehensive control capabilities.
3Measurement precision
If dimensional analysis is performed on all content items, then fraud detection accuracy is improved, but processing time increases
Solution Approach 1:
The system performs dimensional analysis selectively on transactions that exhibit risk indicators or meet certain criteria, rather than applying it universally to all transactions. This partial application maintains high fraud detection accuracy for suspicious transactions while avoiding unnecessary processing time for legitimate transactions.
Solution Approach 2:
The system uses feedback from initial transaction screening to determine which transactions require full dimensional analysis. Transactions flagged with risk indicators trigger the comprehensive analysis, while those passing initial screening proceed with minimal processing, optimizing the balance between detection accuracy and processing speed.
Data Source
AI summary
Systems, methods, and computer-readable storage media for restricting exchanges using a proof of integrity model. One system includes memory and at least one processing circuit configured to receive, from a node on a first DLT network, an exchange request, the exchange request includes an amount of a digital asset to exchange, a content item, and a destination identifier. The at least one processing circuit is further configured to generate an exchange record and validate the exchange record in the amount of the digital asset based on a protection model. The at least one processing circuit is further configured to authorize, based on a consensus model, the exchange corresponding with the validated exchange record including the appended protection parameter. The at least one processing circuit is further configured to generate a new blockchain block on the first DLT network and transmit, to a second DLT network, an exchange notification.


