Methods and apparatuses for fraud handling

Patent metadata

Field	Value
Publication number	US-11074586-B2
Application number	US-201916359033-A
Country	US
Kind code	B2
Filing date	Mar 20, 2019
Priority date	Mar 26, 2018
Publication date	Jul 27, 2021
Grant date	Jul 27, 2021

Abstract

The present disclosure relates to a concept of fraud handling. A data transaction request is received via a data network from at least one user account. The data transaction request is analyzed based on predefined fraud detection rules to generate a fraud score associated with the at least one user account. The at least one user account is classified as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold. Data transactions associated with a classified fraudulent account via the data network are done by purposely deteriorating the data transactions associated with the classified fraudulent account in comparison to data transactions associated with a classified non-fraudulent account.

First claim

The invention claimed is:

1. A method of fraud handling in an online data network including a fraud processing node having a processor and a memory storing instructions executed by the processor to perform the method of fraud handling, the method comprising:
receiving, at the processor of the fraud processing node via the data network, a data transaction request from at least one user account, the data transaction request including a request for digital content;
analyzing the data transaction request based on predefined fraud detection rules to generate a fraud score associated with the at least one user account;
classifying the at least one user account as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold; and
performing, via the data network, data transactions associated with a classified fraudulent account that are degraded in comparison to data transactions associated with a classified nonfraudulent account,
wherein degraded performance of data transactions associated with a classified fraudulent account includes modifying the requested digital content to an altered version of the digital content that is degraded in comparison to the requested digital content and providing the altered version of the digital content to the source of the data transaction request via the data network,
wherein deteriorating the data transactions comprises at least one of purposely using a higher latency for data communication or communicating altered data content.

2. The method of claim 1 , wherein analyzing the data transaction request comprises feeding the data transaction request from the at least one user account into a machine learning model configured to recognize fraudulent data transactions.

3. The method of claim 1 , wherein performing data transactions comprises reacting in real-time to incoming data transaction requests.

4. An apparatus for fraud handling, comprising
a receiver configured to receive, via a data network, a data transaction request from at least one user account, the data transaction request including a request for digital content;
a processor circuit configured to analyze the data transaction request based on predefined fraud detection rules to generate a fraud score associated with the at least one user account;
classify the at least one user account as fraudulent account if the associated fraud score exceeds a predefined fraud likelihood threshold; and
perform data transactions associated with a classified fraudulent account via the data network that are degraded in comparison to data transactions associated with a classified non-fraudulent account,
wherein degraded performance of data transactions associated with a classified fraudulent account includes configuring the processor to modify the requested digital content to an altered version of the digital content that is degraded in comparison to the requested digital content and provide the altered version of the digital content to the source of the data transaction request via the data network,
wherein deteriorating the data transactions comprises at least one of purposely using a higher latency for data communication or communicating altered data content.

5. The apparatus of claim 4 , wherein the processor circuit is configured to analyze the data transaction request, classify the at least one user account, and perform the data transactions in real-time.

6. The method of claim 1 , wherein the requested digital content is any one of a digital video or a digital game.

7. The apparatus of claim 4 , wherein the requested digital content is any one of a digital video or a digital game.

Assignees

• Sony Corp

Inventors

• Vandezande Bart
• Aylward Conor
• Traum Cristian
• Lim Erbin
• Jochems Barbara
• Elshocht Olivier

Classifications

• G06N20/00

  Machine learning · CPC title

• G06Q20/4016 Primary

  involving fraud or risk level assessment in transaction processing · CPC title

• H04L51/216

  Handling conversation history, e.g. grouping of messages in sessions or threads · CPC title

• H04L51/212

  using filtering or selective blocking · CPC title