US 2026/0122079 A1Published application

Method and system for detecting, tracking and tracing potential fraud in a computer network

AssigneeFinancial Network Analytics Ltd

InventorsFlorian Loecker, Kimmo Soramäki

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Abstract

Disclosed is method for detecting, tracking and tracing a potential fraud in a computer network (DN) comprising plurality of nodes (PoN) at least includes first node (FN), second node (SN) and third node (TN), FN is associated with user having sensitive data (SD), method comprising enabling FN for: generating first case (FC) corresponding to first transaction (FT); subscribing to FC; generating first cryptographic key (CK); tokenizing SD based on first CK; and sharing first case data (FCD) with PoN, method comprises enabling SN for: receiving FCD; subscribing to FC; deciphering received FCD; comparing deciphered FCD with second case data (SCD); and notifying TN of FT, when the compared FCD and SCD are different; method comprises enabling TN for: receiving FCD; subscribing to FC; deciphering received FCD; comparing deciphered FCD with third case data (TCD); and notifying subsequent nodes of FT, when compared FCD and TCD are different.

Claims17

Dependent claims

A method for detecting, tracking and tracing a potential fraud in a computer network (300) comprising a plurality of nodes (302A-C) representing a plurality of participants, wherein the plurality of nodes at least includes a first node (302A), a second node (302B) and a third node (302C), wherein the first node is associated with a user having sensitive data,

the method comprising enabling the first node for:
generating a first case corresponding to a first transaction;
subscribing to the first case;
generating a first cryptographic key associated with the first node;
tokenizing the sensitive data based on the first cryptographic key;
and
sharing the first case data (304) with the plurality of nodes in network associated with the first case, wherein the first case data comprises:
a case identifier,
the first cryptographic key, and
the tokenized data corresponding to the first transaction;
wherein the method comprises enabling the second node for:
receiving the first case data:
subscribing to the first case;
deciphering the received first case data using the first cryptographic key;
comparing the deciphered first case data with second case data (306) corresponding to a second transaction;
and
notifying the third node of the first transaction, when the compared first case and second case data are different, for detecting, tracking and tracing a potential fraud in a network;
wherein the method comprises enabling the third node for:
receiving the first case data;
subscribing to the first case;
deciphering the received first case data using the first cryptographic key;
comparing the deciphered first case data with third case data (308) corresponding to a third transaction;
and
notifying one or more subsequent nodes of the first transaction, when the compared first case and third case data are different, for detecting, tracking and tracing the potential fraud in the network,
wherein the method comprises notifying at least one of the subscribed first node, second node, third node, one or more subsequent nodes of the at least one of the second transaction, the third transaction, one or more subsequent transaction, for detecting, tracking and tracing the potential fraud in the network.

22 more elements

A system (200) for detecting, tracking and tracing a potential fraud in a computer network (300) comprising a plurality of nodes (302A-C) representing a plurality of participants, wherein the plurality of nodes at least includes a first node (302A), a second node (302B) and a third node (302C), wherein the first node is associated with a user having sensitive data, the system comprising a data processing arrangement (204),

wherein the data processing arrangement is configured to enable the first node to:
generate a first case corresponding to a first transaction;
subscribe to the first case;
generate a first cryptographic key associated with the first node;
tokenize the sensitive data based on the first cryptographic key;
and
share the first case data (304) with the plurality of nodes in the network associated with the first case, wherein the first case data comprises:
a case identifier,
the first cryptographic key, and
the tokenized data corresponding to the first transaction;
wherein the data processing arrangement is configured to enable the second node to:
receive the first case data:
subscribe to the first case;
decipher the received first case data using the first cryptographic key;
compare the deciphered first case data with second case data (306) corresponding to a second transaction;
and
notify the third node of the first transaction, when the compared first case and second case data are different, for detecting, tracking and tracing the potential fraud in the network;
wherein the data processing arrangement is configured to enable the third node to:
receive the first case data;
subscribe to the first case;
decipher the received first case data using the first cryptographic key;
compare the deciphered first case data with third case data (308) corresponding to a third transaction;
and
notify one or more subsequent nodes of the first transaction, when the compared first case and third case data are different, for detecting, tracking and tracing the potential fraud in the network;
and
wherein the data processing arrangement is configured to notify at least one of the subscribed first node, second node, third node, one or more subsequent nodes of the at least one of the second transaction, the third transaction, one or more subsequent transaction, for detecting, tracking and tracing the potential fraud in the network.

23 more elements

Dependencies are inferred from the claim text.