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Abnormal behavior detection method and system based on association rules and user attributes

A detection method and related relationship technology, applied in the computer field, can solve the problems of high error rate and missed detection, and achieve the effect of high accuracy rate and improved accuracy

Active Publication Date: 2016-08-31
SOUTH CHINA NORMAL UNIVERSITY
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Problems solved by technology

Therefore, normal behavior may be misdetected as abnormal behavior, and abnormal behavior may be missed as normal behavior, resulting in a high error rate for abnormal behavior detection

Method used

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  • Abnormal behavior detection method and system based on association rules and user attributes
  • Abnormal behavior detection method and system based on association rules and user attributes
  • Abnormal behavior detection method and system based on association rules and user attributes

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Embodiment Construction

[0046] In one embodiment, such as figure 1 As shown, an abnormal behavior detection method is proposed, which includes the following steps:

[0047] Step 102, acquiring the user's attribute information and behavior information to be detected, and calculating the matching degree between the attribute information and the attribute information in the pre-stored user behavior database.

[0048] In this embodiment, the attribute information of the user includes gender, age, and physical features. The behavior information to be detected is a specific behavior information of the user. For example, the behavior information of the user to be detected can be the behavior sequence of the user withdrawing money from the ATM machine "walk into the bank -> insert the card -> enter the password -> withdraw money -> Any action information in “Out of the Bank”, such as withdrawal.

[0049]The user's behavior information to be detected can be the operation information performed by the user wh...

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Abstract

The present invention relates to an abnormal behavior detection method and system. The method comprises obtaining attribute information and to-be-detected behavior information of users; calculating matching degree of the attribute information and prestored attribute information; screening the attribute information with the matching degree greater than a first preset threshold value, and obtaining history abnormal behavior information corresponding to the attribute information; obtaining an abnormal behavior sequence corresponding to the history abnormal behavior information, and obtaining an association relationship between the history abnormal behavior information and associated behavior information corresponding to the history abnormal behavior information; obtaining associated behavior information of the to-be-detected behavior information according to the association relationship, and composing a to-be-detected behavior sequence by the to-be-detected behavior information and the associated behavior information corresponding to the to-be-detected behavior information; calculating similarity between the to-be-detected behavior sequence and the abnormal behavior sequence; and obtaining the to-be-detected behavior information with the similarity greater than a second preset threshold value, and determining the obtained to-be-detected behavior information as the abnormal behavior information. According to the abnormal behavior detection method and system, abnormal behaviors of the users can be accurately detected.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an abnormal behavior detection method and system based on association rules and user attributes. Background technique [0002] Abnormal user behavior often refers to "abnormal" behavior that violates social civilization norms or group behavior habits and standards. Especially with the improvement of people's awareness of public security and network security, people pay more and more attention to abnormal behavior detection in crowd scenes, networks and other environments. [0003] At present, the detection of abnormal behavior of users usually performs matching detection based on the characteristics of individual abnormal behaviors, or performs comparative detection based on the characteristics of individual normal behaviors. But since the same behavior may be abnormal in some cases and normal in others. Therefore, normal behaviors may be misdetected as abnormal behaviors, an...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/00
CPCG06F16/903G06V40/20
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY
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