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Sampling method for unbalanced transaction data of fictitious assets

A technology of virtual assets and transaction data, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as large amount of calculation, achieve high accuracy and reduce the amount of calculation

Inactive Publication Date: 2014-10-08
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The aforementioned first abnormal transaction detection method needs to calculate the posterior probability that the current transaction belongs to a normal transaction every time it detects, and the amount of calculation is relatively large
The second method needs to fit the transaction time series data, which also requires a lot of calculation

Method used

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  • Sampling method for unbalanced transaction data of fictitious assets
  • Sampling method for unbalanced transaction data of fictitious assets

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Embodiment Construction

[0037] The technical scheme of the present invention will be further described below through specific embodiments:

[0038] The technical solution of the invention mainly includes: description of virtual asset storage architecture, sampling of unbalanced transaction data and construction of a classifier.

[0039] 1. Description of virtual asset storage architecture

[0040] Virtual asset storage adopts a distributed framework, and its architecture is as follows: figure 1 As shown, it includes the organization and management of massive multi-structure data, query processing of massive multi-structure data, service release and programming interface, etc.

[0041]The underlying architecture of the system is deployed on a traditional distributed computing environment or cloud computing platform, and transparent access to file data on each node in the distributed computing environment is realized through the distributed file system. Distributed computing nodes include 170 high-pe...

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Abstract

The invention discloses a sampling method for unbalanced transaction data of fictitious assets. The method includes the following steps that abnormal transaction data in fictitious asset transaction are defined as a minority class, and oversampling is carried out on samples of the minority class by means of an improved SMOTE method in order to increase the number of the samples of the minority class; normal transaction data in fictitious asset transaction are defined as a majority class, and undersampling is conducted on samples of the majority class by means of a distance-based DUS method in order to decrease the number of the samples of the majority class; a scaling factor is set to adjust the proportion of the oversampling number and the undersampling number. The sampling method for unbalanced transaction data is applied to abnormal transaction detection of the fictitious assets, the calculated amount of abnormal transaction detection can be greatly reduced, and a high accuracy rate can be reached.

Description

technical field [0001] The technology belongs to the field of network and information security, and relates to a sampling method of unbalanced transaction data of virtual assets. Background technique [0002] The rapid development of the Internet has given birth to the prosperity of e-commerce, among which the growth of virtual asset transactions is particularly rapid. [0003] At present, my country has carried out research on eID-based virtual asset management and preservation technology in cyberspace to achieve standardized and unified management of virtual assets. The virtual asset security system comprehensively and accurately records various operations on virtual assets, but how to dig out abnormal transaction behaviors from these recorded data still faces many challenges. In view of the huge scale and rapid growth of network virtual asset transaction information, it is extremely urgent to automatically discover and predict abnormal behaviors from massive virtual asse...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 李虎贾焰韩伟红周斌杨树强李爱平黄九鸣李树栋刘东全拥邓璐姬炳帅
Owner NAT UNIV OF DEFENSE TECH
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