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Interface abnormal call monitoring method and device

A technology of interface invocation and monitoring device, applied in the field of interface abnormal invocation monitoring, can solve the problems of undetectable, low detection rate, and high false detection rate

Active Publication Date: 2019-11-22
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Blacklist-based and rule-based methods have been proposed one after another, but there are still problems of low detection rate and high false detection rate, and the above methods can only detect known security problems, for new security problems that have not occurred before , it is not possible to detect

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  • Interface abnormal call monitoring method and device
  • Interface abnormal call monitoring method and device
  • Interface abnormal call monitoring method and device

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Embodiment Construction

[0087] 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.

[0088] At present, blacklist-based and rule-based methods have problems such as low detection rate and high false detection rate in dealing with security issues of interface calls, and can only detect known security issues, and cannot solve security issues that have never occurred .

[0089] In view of this, this application uses user portrait technology to obtain the characteristics of the clustering algorithm, and divides users into multiple user subcategori...

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Abstract

An interface abnormal call monitoring method and device solve the problems that an existing method based on a blacklist, rules and machine learning is low in detection rate and high in false detectionrate, and new abnormal behaviors cannot be found in time. The characteristics of the clustering algorithm are obtained by using the user portrait technology, and the users are divided into a plurality of user subclasses with comparability, so that the detection rate of abnormal interface calling is higher, and the false detection rate is lower. Learning a behavior mode of each user subclass by using a neural network model; according to the method, the envelope of the normal behavior mode is obtained, the trained neural network is used for predicting the subsequent normal API interface callingbehavior of the client, and the predicted behavior is compared with the actual API interface calling behavior of the client, so that the new abnormal behavior can be found in time.

Description

technical field [0001] The present invention relates to the technical field of interface invocation, and more specifically, to a method and device for monitoring abnormal interface invocation. Background technique [0002] With the improvement of informatization level, more and more enterprises open up their service capabilities through API, and build their own ecosystems on the basis of open services. With the increase in the number of API service interface calls, the security issue of interface calls is becoming more and more urgent and important. Blacklist-based and rule-based methods have been proposed one after another, but there are still problems of low detection rate and high false detection rate, and the above methods can only detect known security problems, for new security problems that have not occurred before , it cannot be detected. Contents of the invention [0003] In order to solve at least one of the above problems, the present application provides a me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06K9/62G06N3/04G06N3/08G06Q10/04
CPCG06F11/3041G06Q10/04G06N3/08G06N3/049G06F18/23213G06F18/24G06F18/214
Inventor 路烽蔡宏伟陈骏
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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