Unlock instant, AI-driven research and patent intelligence for your innovation.

Abnormal login detection method and device

A technology of abnormal login and detection method, applied in the Internet field, can solve problems such as single dimension, achieve the effect of solving single dimension and avoiding human work

Active Publication Date: 2020-10-30
MICRO DREAM TECHTRONIC NETWORK TECH CHINACO
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] Embodiments of the present invention provide a method and device for detecting abnormal logins to solve the problem of single-dimensional traditional technical solutions and avoid excessive human work

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
  • Abnormal login detection method and device
  • Abnormal login detection method and device
  • Abnormal login detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] 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.

[0034] Such as figure 1 As shown, it is a flow chart of an abnormal login detection method according to an embodiment of the present invention, and the method includes:

[0035] 101. When a certain user login is detected, obtain the user login log of the current user;

[0036] 102. According to the user login log of the current user, obtain the multidimensional attribute data of the current user login;

[0037] 103. According to the multi-dimensional attribu...

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

Embodiments of the invention provide an abnormal login detection method and apparatus. The method includes the following steps: when login of a user is detected, a user login log of the current user is obtained; according to the user login log of the current user, multidimensional attribute data of the current user login are obtained; according to the multidimensional attribute data of the current user login, an established user login machine learning model is utilized to carry out abnormity scoring of the current user login, and an abnormity score of the current user login is obtained; if the abnormity score is determined to be within a set abnormity score threshold range, an inquiry is initiated to the current user to ask whether to allow the current user login or not; and according to an inquiry feedback result of the current user, processing is done on whether to allow the current user login or not. The method has the following beneficial effects: through introducing a machine learning mode into abnormity login detection, the problem of single dimension of conventional methods is solved, and excessive manual operation can be avoided.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for detecting abnormal logins. Background technique [0002] With the continuous development of the Internet, the challenges brought by network security are becoming more and more severe. Once the attacker steals the user's account and password through phishing, fraud and other means, the user's personal information and property are seriously threatened. Therefore, discovering abnormal user login behaviors in time and taking appropriate protection measures for their accounts is of great significance for protecting users' privacy and property. However, how to detect abnormal login behavior has always been a key research issue in the industry. [0003] For detecting abnormal login behavior, the simplest method is threshold detection. That is to count the number of logins initiated by a certain entrance or IP and the proportion of abnormal behaviors (incl...

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 Patents(China)
IPC IPC(8): H04L29/06H04L12/26
CPCH04L43/10H04L43/16H04L63/0815H04L63/1416H04L63/1425
Inventor 何为舟
Owner MICRO DREAM TECHTRONIC NETWORK TECH CHINACO
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com