终端设备身份验证数据

通过收集用户设备的厂商硬件信息、外部设备信息、操作系统信息、应用程序信息、用户动态信息并与后台存储的对应设备信息做对比，得出对比一致的信息条目数量；然后根据每一类型信息的稳定程度设定不同的权重，计算出用户设备的匹配度。可以在尽量少打扰用户的情况下，增强风控系统防范风险的准确性和可靠性。将设备信息划分为厂商硬件信息、外部设备信息、操作系统信息、应用程序信息、用户动态信息五个类型；收集登录终端设备信息后，与服务端存储的用户设备信息进行比对，得出各类型中对比一致的信息条目数量； 通过下述公式计算得出匹配度： x=(d1*ω1+d2*ω2+d3*ω3+d4*ω4+d5*ω5)/(ω1+ω2+ω3+ω4+ω5)；其中，ω1、ω2、ω3、ω4、ω5分别为厂商硬件信息、外部设备信息、操作系统信息、应用程序信息、用户动态信息对应的权重；d1、d2、d3、d4和d5分别为各信息类型中对比一致的信息条目数量；x为匹配度。This dataset is constructed by collecting five types of information from user devices: vendor hardware information, external device information, operating system information, application information, and user dynamic information. By comparing the collected information with the corresponding device information stored in the backend, the number of matching information entries can be obtained. Then, different weights are assigned based on the stability of each information type to calculate the matching degree of the user's device. This approach can enhance the accuracy and reliability of the risk control system while minimizing user disturbance. The device information is divided into the aforementioned five categories. After collecting the information of logged-in terminal devices, a comparison is performed between the collected information and the user device information stored on the server to obtain the number of matching information entries for each category. The matching degree is calculated using the following formula: x=(d1*ω1 + d2*ω2 + d3*ω3 + d4*ω4 + d5*ω5)/(ω1 + ω2 + ω3 + ω4 + ω5) Where ω1, ω2, ω3, ω4, ω5 respectively represent the weights corresponding to vendor hardware information, external device information, operating system information, application information, and user dynamic information; d1, d2, d3, d4 and d5 respectively denote the number of matching information entries in each information type; and x is the matching degree.

搜集汇总

数据集介绍

特点

终端设备身份验证数据集包含131条记录，用于通过比对用户设备的多类信息（如硬件、操作系统等）计算匹配度，提升风控系统准确性。数据来自企业，按需更新。