Network abnormal behavior detection method and device

A network anomaly and detection method technology, applied in the Internet field, can solve the problem of low accuracy of network abnormal behavior, and achieve the effect of solving low accuracy, good false detection or missed detection, and avoiding false detection or missed detection

Active Publication Date: 2017-05-31
TENCENT TECH (SHENZHEN) CO LTD
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a network abnormal behavior detection method and detection device with high accuracy in network abnormal behavior detection; to solve the problem of low network abnormal behavior detection accuracy in existing network abnormal behavior detection methods and detection devices technical problem

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
  • Network abnormal behavior detection method and device
  • Network abnormal behavior detection method and device
  • Network abnormal behavior detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Referring to the drawings, wherein like reference numerals represent like components, the principles of the present invention are exemplified when implemented in a suitable computing environment. The following description is based on illustrated specific embodiments of the invention, which should not be construed as limiting other specific embodiments of the invention not described in detail herein.

[0027] In the following description, specific embodiments of the present invention are described with reference to steps and symbols for operations performed by one or more computers, unless otherwise stated. Accordingly, it will be understood that the steps and operations, which at times are referred to as being performed by a computer, include manipulation by a computer processing unit of electronic signals representing data in a structured form. This manipulation transforms the data or maintains it at a location in the computer's memory system that can reconfigure or ot...

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 present invention provides a network abnormal behavior detection method and device. The method comprises: obtaining the network operation behavior of a client, combining the early-stage network operation behavior related to the network operation behavior and the network operation behavior to form a network operation behavior combination; according to the network operation behavior sequence database and the network operation behavior combination, obtaining the network operation behavior sequence related to the network operation behavior; determining whether the network operation behavior is an abnormal network operation behavior sequence or not according to the current period changing condition of the execution quantity of the network operation behavior sequence and the preset period changing condition of the execution quantity of the network operation behavior sequence; if the network operation behavior sequence is the abnormal network operation behavior sequence, rejecting the execution of the network operation behavior; and if the network operation behavior sequence is a normal network operation behavior sequence, executing the network operation behavior. The detection accuracy is high, and the network abnormal behavior detection method and device can better avoid checking mistake or checking leakage.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a method and device for detecting abnormal network behavior. Background technique [0002] With the development of network technology, more and more users conduct various social activities through the Internet, such as online chatting, online games, advertising releases, and investment on Internet financial platforms. Because the passwords of the network accounts used by some users for the above-mentioned network social activities may be relatively simple, network hackers will use IP (Internet Protocol Address, network protocol address) aggregation, that is, the behavior of a large number of network accounts on a certain or a certain segment of IP The password detection of the network account is performed by means of other methods, thereby affecting the security of the user's network account. Or network hackers directly use stolen network accounts for network consumption, thereby ste...

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
IPC IPC(8): H04L29/06G06F21/56
CPCH04L63/1416G06F21/566
Inventor 王进张杰廖晨许灿冲陈敏浩
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap