Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Panic buying transaction anomaly detection method, system and device and storage medium

An anomaly detection and transaction technology, applied in the field of machine learning, can solve problems such as the inability to detect abnormalities in snapped transactions in real time, large system risks, and poor user experience, so as to avoid malicious snapping operations, improve user experience, and improve detection speed Effect

Pending Publication Date: 2021-10-22
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technical effect of this patented technology is that it allows companies to detect any problem with their transactions without having them shut down or being threatened due to issues like security breaches caused by bad actors who have been able to manipulate these systems.

Problems solved by technology

The technical problem addressed by this patented technology relates to improving financial management systems used by smaller companies like bankers who want to return their money back later with higher frequency than usual without losing valuable income from selling low quality goods overnight during peak times. Additionally, these firms may have difficulty identifying unusual events such as double elemences or purchasing expensive materials while still being able to handle them effectively within certain timeframes.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Panic buying transaction anomaly detection method, system and device and storage medium
  • Panic buying transaction anomaly detection method, system and device and storage medium
  • Panic buying transaction anomaly detection method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063]The following will clearly and completely describe the technical solutions in the embodiments herein in conjunction with the accompanying drawings in the embodiments herein. Obviously, the described embodiments are only some of the embodiments herein, not all of them. Based on the embodiments herein, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the scope of protection herein.

[0064] It should be noted that the terms "first" and "second" in the description and claims herein and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments herein described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a panic buying type transaction abnormity detection method, system and device and a storage medium, and the method comprises the steps: collecting a panic buying type transaction request log in a business server, wherein the panic buying type transaction request log comprises a user identifier or a device identifier initiated by a transaction request, and a transaction request initiation moment; inputting the collected panic buying type transaction request logs into an anomaly classifier, obtaining a classification result, and obtaining the anomaly classifier through pre-training according to historical panic buying type transaction request logs; and if the classification result is abnormal, executing an exception handling operation. According to the method, the detection speed of abnormal panic buying transactions can be increased by utilizing the anomaly classifier, the anomaly position can be quickly positioned, data support is provided for system emergency processing, malicious panic buying operation is avoided, and the user experience is improved.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products