USAGE OF ACCESS TOKEN IN SERVICE BASED ARCHITECTURE

    公开(公告)号:US20240064512A1

    公开(公告)日:2024-02-22

    申请号:US18337794

    申请日:2023-06-20

    CPC classification number: H04W12/082 H04W12/069 H04W84/042

    Abstract: Embodiments of the present disclosure relate to usage of access token in service based architecture. According to one aspect of the present disclosure, a first network device transmits an access token request to a second network device, and receives, from the second network device, an access token associated with a first count value, the first count value indicating the number of times the access token is allowed to be used. The first network device transmits, to a third network device, a service request with the access token; and receives, from the third network device, a service response determined based on the first count value and the access token. In this way, usage of an access token may be restricted and chance of misuse of the access token may be reduced.

    METHOD, APPARATUS AND COMPUTER PROGRAM
    63.
    发明公开

    公开(公告)号:US20240048633A1

    公开(公告)日:2024-02-08

    申请号:US18365705

    申请日:2023-08-04

    CPC classification number: H04L67/51

    Abstract: There is provided an apparatus comprising: means for providing, to a network repository function, a discovery request comprising a preferred locality query parameter, wherein the preferred locality query parameter comprises a plurality of location descriptions, and means for receiving, from the network repository function, a response to the discovery request, wherein the response comprises one or more service producers that match the preferred locality query parameter.

    ABNORMAL MODEL BEHAVIOR DETECTION
    64.
    发明公开

    公开(公告)号:US20240046153A1

    公开(公告)日:2024-02-08

    申请号:US18364864

    申请日:2023-08-03

    CPC classification number: G06N20/00 H04L41/145 H04L41/16

    Abstract: Example embodiments of the present disclosure relate to abnormal model behavior detection. A first apparatus obtains a machine learning model and expected behavior information of the machine learning model. The first apparatus monitors behavior information of the machine learning model during execution of the machine learning model; and determines occurrence of an abnormal behavior of the machine learning model during the execution by comparing the monitored behavior information with the expected behavior information.

    ACCESS TOKEN REVOCATION IN SECURITY MANAGEMENT

    公开(公告)号:US20230413052A1

    公开(公告)日:2023-12-21

    申请号:US18337194

    申请日:2023-06-19

    CPC classification number: H04W12/082 H04W12/084

    Abstract: Example embodiments of the present disclosure relate to access token revocation in security management. In an example method, in response to providing, to a second device, an access token for the second device to access a NF service from a third device, a first device stores a mapping indicating an association among the access token, the second device and the third device. In response to determining that the second device is abnormal, the first device sends, to at least one target device based on the mapping, an indication of revoking the access token. In this way, at least one target device associated with revoked access token can be informed and potential damage caused by the abnormal NF can be eliminated.

    TERMINAL DEVICE AUTHORIZATION FOR REQUESTING ANALYTICS

    公开(公告)号:US20230370525A1

    公开(公告)日:2023-11-16

    申请号:US18304543

    申请日:2023-04-21

    CPC classification number: H04L67/14 H04L67/02

    Abstract: Embodiments of the present disclosure relate to terminal device authorization for requesting analytics. A terminal device transmits a subscription for an analytics with an analytics identity to a Unified Data Management (UDM), receives a subscribed analytics identity from the UDM, according to the subscription for the analytics, transmits a request comprising the analytics identity to a Session Management Function (SMF) or an Application Function (AF), and receives analytics result data from the SMF or the AF, according to the the analytics identity after authorization of the request. The terminal device authorization for requesting analytics as provided in the present disclosure is more secure.

    APPARATUS, METHODS, AND COMPUTER PROGRAMS
    69.
    发明公开

    公开(公告)号:US20230361989A1

    公开(公告)日:2023-11-09

    申请号:US18312627

    申请日:2023-05-05

    CPC classification number: H04L9/0822 H04L9/3213 G06F21/6209

    Abstract: There is provided a method, computer program, and an apparatus for a network function service consumer, that causes the apparatus to perform: retrieving, from a first repository function, protected sensitive data; retrieving, from a second network function, at least one encrypted key; decrypting the retrieved at least one encrypted key using a private key associated with the network function service consumer to obtain a respective at least one key; and performing at least one of: decryption of the protected sensitive data using the at least one key to obtain sensitive data or integrity protected sensitive data; or verification of the integrity of the protected sensitive data using the at least one key.

    TASK RESPONSIBILITY COORDINATION
    70.
    发明公开

    公开(公告)号:US20230359492A1

    公开(公告)日:2023-11-09

    申请号:US18245671

    申请日:2020-09-30

    CPC classification number: G06F9/4887

    Abstract: There are provided measures for task responsibility coordination. Such measures exemplarily comprise recognizing addition of said network function entity to a network entity composition, acquiring task coordination responsibility information with respect to said network entity composition, analyzing said task coordination responsibility information, and initiating, if said task coordination responsibility information does not define a valid task coordination responsible for a specific task, addition of said network function entity as said task coordination responsible for said specific task.

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