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

Multi-standard collaborative fraud detection method based on credit accumulation

A detection method and multi-standard technology, applied in the field of social networks, can solve problems such as fraudulent behaviors that do not take into account collaboration among users, high frequency of destructive occurrences, etc.

Inactive Publication Date: 2017-01-11
SHANGHAI NORMAL UNIVERSITY
View PDF0 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Current research mainly focuses on the detection of individual user fraud, without considering collaborative fraud among users, and in the real-world application of social networks, collaborative fraud among users is more damaging than individual user fraud and higher frequency

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
  • Multi-standard collaborative fraud detection method based on credit accumulation
  • Multi-standard collaborative fraud detection method based on credit accumulation
  • Multi-standard collaborative fraud detection method based on credit accumulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0069] like figure 1 As shown, it represents the relationship between the executor user and the organizer within the CFO and the relationship with the honest user outside the fraudulent organization, where the black hollow node, the double-centered node and the gray solid node represent the collaborative fraud execution within the CFO organization users, CFO co-organizer users, and honest users outside the CFO organization; the cloud-shaped area represents the CFO organization; the black straight line represents the employment relationship between the CFO internal executor and the organizer; the black dashed line represents the CFO internal organizer The relationship with the same organization; the gray dotted arrow from the executor to the honest user indicates that the executor cooperates and slanders the honest user; the black solid arrow from the executor to the honest user indicates that the executor exaggerates the behavior of the honest user on the cooperation of the hon...

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 relates to a multi-standard collaborative fraud detection method based on credit accumulation, and is used for discovering collaborative fraud organizations and identifying the members thereof. The method comprises the following steps that 1) a single suspicious user node is detected and marked in a social network, and the set of all the suspicious user nodes is acquired by using a credit accumulation model; 2) the suspicious relation of the suspicious users in the set delta is judged, and the collaborative fraud organization models to which all the suspicious users belong in the set delta are classified; and 3) the organizers in the classified collaborative fraud organization models are monitored and identified. Compared with the methods in the prior art, the multi-standard collaborative fraud detection method based on credit accumulation has the advantages of being wide in detection objects, advanced in algorithm and comprehensive in assessment.

Description

technical field [0001] The invention relates to the technical field of social network, in particular to a reputation accumulation-based multi-standard cooperative fraud detection method. Background technique [0002] In recent years, with the rapid development of social networks, more and more people use social networks to share emotions, shopping, and some other life experiences with friends or strangers, such as microblogs and blogs. Reputation is the basis for reflecting past creditworthiness and predicting future personal reliability. It has become an effective and feasible solution for network security management. A reliable reputation system can determine whether members in the community are trustworthy. However, unscrupulous users or merchants seek profits by taking advantage of their own high reputation or maliciously destroying the reputation of honest users. For example, unscrupulous users in social networks use anonymous attacks on other honest users and defraud ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q10/06
CPCG06Q30/0185G06Q10/06393
Inventor 张波张欢李美子雍睿涵黄继风
Owner SHANGHAI NORMAL UNIVERSITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com