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

Recognition method of abnormal client side

An identification method and client technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of easy cracking, poor identification effect of identification methods, and inability to identify clients, etc., to ensure reliability, Avoid the effect of cracking the problem

Active Publication Date: 2012-10-10
BEIJING PIXEL SOFTWARE TECH
View PDF7 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, if this plug-in method is adopted on the player user's client, the existing abnormal client identification method cannot identify this client
[0006] It can be seen that the current identification method of abnormal client has the problem of poor identification effect and easy cracking

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
  • Recognition method of abnormal client side
  • Recognition method of abnormal client side
  • Recognition method of abnormal client side

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0016] The core idea of ​​the present invention is: make statistics on the abnormal behavior characteristics of the abnormal client, and then periodically judge whether the client is an abnormal client according to the current behavior of the client and the above-mentioned abnormal behavior characteristics. It does not require user participation, so it will not affect the normal business of ordinary clients, ensuring user experience, and at the same time avoiding cracking problems of intelligent recognition software and manual customer service, ensuring the reliability of recognition.

[0017] figure 1 It is a schematic flow chart of the method in Embodiment 1 of the present invention. Such as figure 1 As shown, the method includes the ...

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 provides a recognition method of an abnormal client side, which comprises the following steps: abnormal behavior characteristics of the abnormal client side are statistically calculated in advance and matching degree scores corresponding to the abnormal behavior characteristics are set; after a user logs in business servers through the client side, all the business servers record and save the business behavior information of the user in a statistical database; and a monitoring server reads the business behavior information of online users recorded in a cycle from the behavior statistical database after each preset monitoring cycle is finished, determines behaviors of the online users and abnormal matching degrees matched with the abnormal behavior characteristics according to the read business behavior information, the abnormal behavior characteristics and the abnormal matching degree scores corresponding to the abnormal behavior characteristics and determines whether the client side where the online users are positioned is abnormal or not according to the abnormal matching degrees of the online users and preset abnormal matching threshold values. By adopting the recognition method, the abnormal service client side can be effectively recognized.

Description

technical field [0001] The invention relates to computer application technology, in particular to a method for identifying abnormal clients. Background technique [0002] Most of the existing computer network game systems are based on the Internet and the client / server model. The server program runs on the game server, and the game designer creates a huge game space in it. Players from all over the world can run the client The program is logged into the game at the same time. At present, the clients of some player users use plug-ins to enhance various functions of the player in the game system. The plug-in is to graft the plug-in program into the game program, and realize the enhancement of various functions by intercepting and modifying the data sent by the game to the game server. This kind of abnormal client using plug-in technology to cheat has seriously affected the fairness of the online game business environment, and is hated by players, users, developers and operat...

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): H04L29/06H04L12/26G06F19/00
Inventor 刘毅
Owner BEIJING PIXEL SOFTWARE TECH
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