Alibaba Group Holding Limited

Advanced New Technologies Co., Ltd.

Jupeng Xia

Caiwei Li

Tao Chen

Xiaoling Li

Ning Wang

Yicheng Lu

Shuai Chen

Yan Hu

Junkui Li

Bei Tian

Xi Gu

Bao Jiang

Shaoqing Ma

Xueyao Gao

Chongmin Huang

This specification discloses techniques for risk identification. One example method includes receiving, by a client device, a risk identification request identifying a requested service operation and service data associated with the requested service operation; retrieving, by the client device, service data corresponding to the risk identification request; determining, by the client device, service indicator data associated with the service data; analyzing, by the client device, one or more of the service data and the service indicator based on a risk identification rule or a risk identification model to produce a risk result; and determining, by the client device, whether the requested service operation is a high risk operation based at least in part on the risk result.

Identifying high risk computing operations

An authentication factor is received, including an authentication key, an account information of a user, and a dynamic time factor. A bound authentication information is generated by using the authentication factor and a device information of a client device that requested the secure offline payment. The bound authentication information is transmitted to a service server system perform an offline payment authorization based on the bound authentication information. In response to a successful offline payment authorization, a graphical identifier is generated for completing the secure offline payment associated with the authentication factor, where the graphical identifier includes the bound authentication information and a dynamic password generated based on the dynamic time factor.

Transaction scheme for offline payment

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a scan-to-pay method are provided. One of the methods includes: receiving a payment request from an operator of a mobile device; and generating a payment code based on the payment request, wherein the payment code comprises first information and second information, with the first information associated with an payment account, and the second information associated with at least one recent behavioral biometric signature of the operator and at least one historical behavioral biometric signature recorded in the mobile device. This scan-to-pay method provides robust risk control with substantially reduced cost, therefore it provides a more friendly user experience on a scan-to-pay application over its conventional counterparts.

Scan and pay method and device utilized in mobile apparatus

Implementations of the present specification disclose a method and an apparatus for detecting model security and an electronic device. The method includes the following: obtaining result data computed by using a model, wherein the result data comprises intermediate result data and output result data; obtaining a discriminator through training by using a generative adversarial network (GAN) framework, the model, and a sample; discriminating the result data by using the discriminator by using the model for current input data, to detect whether the model is currently secure, wherein the model is in a trusted execution environment for obtaining the discriminator through training; and determining a security detection result of the model.

Method, apparatus, and electronic device for detecting model security

Extracting characteristic information includes receiving a collection command from a client, obtaining, via a collection device, biometric information based on the collection command, selecting a stored extraction algorithm corresponding to the client, the stored extraction algorithm being selected from among a plurality of stored extraction algorithms, extracting characteristic values from the obtained biometric information, the characteristic values being extracted based on the selected extraction algorithm, and sending the extracted characteristic values to the client.

Method and system for extracting characteristic information

Embodiments of the present application disclose a method for providing a terminal identifier to a terminal. During operation, a security server receives a registration information set from the terminal, in which the registration information set includes multiple pieces of equipment information from the terminal. The security server then generates a terminal identifier based on the multiple pieces of equipment information in the registration information set. The security server then returns the terminal identifier to the terminal.

Growing community of inventors

Hangzhou, China

Jupeng Xia