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公开(公告)号：US20200274898A1
公开(公告)日：2020-08-27
申请号：US16870203
申请日：2020-05-08
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Miao XIE , Yingliang YAO
Abstract: One example method for defending against denial of service (DoS) attacks is applied to a terminal device including a trusted execution environment (TEE) and a rich execution environment (REE) that are isolated from each other. The method includes obtaining an access request initiated to a service or an interface by a client application (CA) running in the REE, where the access request is used to request a service or a resource, transferring the access request to the TEE, and determining, by the TEE according to a control policy determined based on an access behavior model, whether to grant the access request. The access behavior model is trained by using a statistical method or a machine learning algorithm, with an access behavior dataset of accessing the service or the interface by a plurality of normal CAs.
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公开(公告)号：US20220036236A1
公开(公告)日：2022-02-03
申请号：US17276949
申请日：2018-09-19
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
IPC: G06N20/00
Abstract: An AI model development method and apparatus, in the field of AI technologies. A solution is as follows: a development platform obtains platform indication information, service indication information, and parameter requirement information of a to-be-generated AI model; selects, from an operator database, a plurality of available operators; selects an operator from the plurality of available operators, and sets a parameter of the selected operator to generate a first candidate policy; performs sample training on the first candidate policy to obtain a first candidate AI model; runs the first candidate AI model to execute processing on test data of the first service, so as to obtain a first running parameter; and, if the first running parameter matches the parameter requirement information, determines that the first candidate AI model is a target AI model.
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