Method and system for detecting abnormal account of online social network

A technology of social network and detection method, applied in the field of account detection, can solve problems such as poor ability to detect unknown attack methods

Pending Publication Date: 2021-04-02
GUIZHOU UNIVERSITY OF FINANCE AND ECONOMICS
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  • Description
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Problems solved by technology

Therefore, due to the supervised detection method, the classifier needs to be trained in advance, and abnormal accounts or attackers often update their behavior (attack) methods to avoid detection, so the ability to detect unknown attack methods is poor

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  • Method and system for detecting abnormal account of online social network
  • Method and system for detecting abnormal account of online social network
  • Method and system for detecting abnormal account of online social network

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Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] Compared with the supervised detection method, the unsupervised detection scheme is mainly based on the graph detection, which does not need to train the classifier in advance. Its essence is to use the friend relationship graph to judge the relationship between unknown nodes and known nodes through algorithms such as random walk, adaptive maximum flow, power iteration and Markov random field, and to detect whether the node is abnormal. It can detect un...

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Abstract

The invention relates to a method and a system for detecting an abnormal account of an online social network. The method comprises the steps of generating a simple graph according to a user relationship data set of an online social network; calculating the importance of each node through a node importance evaluation algorithm according to the simple graph, wherein the importance of the nodes comprises the in-degree centrality, the near centrality and the intermediary centrality of the nodes; fusing the importance of each node to obtain an importance fusion value of each node; taking the importance fusion value of each node as the weight of the corresponding node, and converting the simple graph into a weighted graph; combining the weight and the out-degree of each node in the weighted graph to carry out power iteration of trust seed transmission, and endowing each node in the weighted graph with a corresponding trust value; and determining the account corresponding to the node with thesmaller trust value in the weighted graph as an abnormal account. According to the invention, the accuracy of abnormal account detection can be improved.

Description

technical field [0001] The invention relates to the field of account detection, in particular to a method and system for detecting abnormal accounts in an online social network. Background technique [0002] With the widespread use of the Internet and mobile terminals, online social networks (Online Social Networks) play an increasingly important role in people's daily work, study and life. Perhaps more importantly, different types of online social networks are proliferating to meet the different needs of people. Together with other technologies, they are driving the rapid development of the digital economy and forming an increasingly close connection with people's daily life. Therefore, the huge number of users owned by online social networks often means huge economic benefits. They also bring certain risks while bringing convenience to people and satisfying people's various needs. Seeking profits by creating fake accounts, robot accounts, and hijacking accounts has beco...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q50/00
CPCG06F17/18G06Q50/01
Inventor 邓明森丁健喻曦龙昌庭刘振涛
Owner GUIZHOU UNIVERSITY OF FINANCE AND ECONOMICS
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