Quantum-resistant graph analysis system for combating money laundering in the blockchain with post-quantum cryptography and adversarial stress tests

DE202026102571U1Undetermined Publication Date: 2026-09-03MALAMUTHU BAKKIYARAJ KANTHIMATHI
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Patent Information

Application Number
DE202026102571
Authority / Receiving Office
DE · DE
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2026-05-04
Publication Date
2026-09-03
Estimated Expiration
2036-05-31
Patent Text Reader

Abstract

A system for detecting unauthorized activity in blockchain transactions, consisting of: a data acquisition interface operationally connected to one or more blockchain nodes and configured to receive transaction data including transaction identifiers, address information, transfer values, and timestamps; a preprocessing unit consisting of a normalization circuit configured to transform heterogeneous blockchain data into a standardized internal representation stored in a storage unit; a graph construction processor connected to the storage unit and configured to generate and maintain a directed transaction graph, with nodes representing blockchain entities and edges representing value transfers with associated attributes;a classification processor with parallel computing circuitry configured to process the directed transaction graph using a variety of graph-based learning architectures, and a probabilistic modeling unit configured to compute higher-order dependencies between node features, structural relationships, and temporal attributes; an aggregation unit configured to combine the outputs of the classification processor to generate a risk assessment indicating illegal activity for at least one node or edge of the transaction graph; an optimization processor coupled to the classification processor and configured to iteratively select feature sets and determine weighting parameters to be assigned to the aggregation unit based on a predefined performance target;a perturbation generation processor configured to create modified instances of the directed transaction graph by modifying at least one of the following properties: graph topology, temporal attributes, or transaction values; a robustness assessment unit configured to compute stability metrics of the risk score among the modified instances of the directed transaction graph; and a cryptographic processor consisting of post-quantum cryptography circuits configured to secure the system's data transmission, storage, and audit logs.
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