A method, performed by an image processing device, of encrypting image data includes: selecting an encryption target unit from among a plurality units constituting an image; generating a table including identification information about the encryption target unit; generating a first encryption unit including data obtained by encrypting the encryption target unit; generating a second encryption unit including data obtained by encrypting the table; and generating a bitstream including the first encryption unit, the second encryption unit, and units other than the encryption target unit among the plurality of units constituting the image.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication that a 5G media streaming (5GMS) service is partially available over a 5G multicast/broadcast service (5MBS). The UE may receive information that indicates a first set of resources of the 5GMS service that are accessible or delivered via 5G unicast, and a second set of resources of the 5GMS service that are accessible or delivered via 5MBS, wherein the second set of resources are hosted on a server of the UE. The UE may receive or transmit data associated with the 5GMS service. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication that a 5G media streaming (5GMS) service is partially available over a 5G multicast/broadcast service (5MBS). The UE may receive information that indicates a first set of resources of the 5GMS service that are accessible or delivered via 5G unicast, and a second set of resources of the 5GMS service that are accessible or delivered via 5MBS, wherein the second set of resources are hosted on a server of the UE. The UE may receive or transmit data associated with the 5GMS service. Numerous other aspects are described.

Computer-implemented detection of anomalous telephone calls, for example detection of interconnect bypass fraud, is disclosed. A telephone call associated with user devices is analyzed remote from the user devices. A first set of multiple features, for example Mel Frequency Cepstral Coefficients, is derived from a call audio stream. The first set is converted to an embedding vector, for example via a model based on a Universal Background Model comprising a Gaussian Mixture Model, which model is preferably configured based on a training plurality of first sets of multiple features derived form a corresponding training plurality of audio streams. Occurrence, or probability of occurrence, of an anomalous telephone call is determined based on the embedding vector, for example via a back-end classifier, such as a Gaussian Backend Model, which classifier is preferably configured based on labels associated with the training plurality of audio streams.

A server computer system, comprises a processor; a communications module coupled to the processor; and a memory coupled to the processor, the memory storing instructions that, when executed, configure the processor to obtain information associated with a request to transfer data to a data record; determine, based on an identifier associated with the data record, whether a real-time transfer protocol is available to complete the transfer; and send, via the communications module and to a client device associated with a recipient of the request to transfer the data to the data record, a signal updating one or more interface elements of an interface displayed on the client device based on whether the real-time transfer protocol is available to complete the transfer.

A streaming orchestrator may monitor the quality of video being delivered to a home or other building. If the streaming orchestrator determines that additional performance is needed, it may create an additional User Plane Gateway in the virtual “white box” environment residing in the customer premises. The streaming orchestrator may instruct gNodeBs to continue to route traffic back to the central core functions or to route traffic to local user plane gateways which transmit video streams to the Internet via localized high-speed connections.

A streaming orchestrator may monitor the quality of video being delivered to a home or other building. If the streaming orchestrator determines that additional performance is needed, it may create an additional User Plane Gateway in the virtual “white box” environment residing in the customer premises. The streaming orchestrator may instruct gNodeBs to continue to route traffic back to the central core functions or to route traffic to local user plane gateways which transmit video streams to the Internet via localized high-speed connections.

Described are system, apparatus, article of manufacture, method, or computer program product embodiments for controlling streaming of media content. An embodiment operates by halting a presentation of future content from a buffer upon determining that the buffer is exhausted of content to present. The embodiment includes receiving one or more packets over a network connection, the one or more packets including media information corresponding to a first portion of streaming media content, in which the first portion corresponds to a second portion of the streaming media content. The one or more packets in a buffer are stored as buffered content. Responsive to determining that the network connection is not experiencing a burst condition, the buffer is trimmed. Then, presentation of buffered content is resumed and the first portion is caused to be presented in sync with the second portion.

Delivery of high quality video in an adaptive bit rate (ABR) download session is achieved using obtained using lower quality communication paths. The method involves detecting that an ABR download session of a video is in a steady-state condition. If so a further determination is made as to whether there is sufficient pre-fetch time available to download an (N+1)th video segment of the video using at alternative connection path through a virtual WAN having a lower quality than a first connection path through the virtual WAN. If sufficient pre-fetch time is available, the (N+1)th video segment is prefetched using at least the second connection path instead of the first connection path.

Delivery of high quality video in an adaptive bit rate (ABR) download session is achieved using obtained using lower quality communication paths. The method involves detecting that an ABR download session of a video is in a steady-state condition. If so a further determination is made as to whether there is sufficient pre-fetch time available to download an (N+1)th video segment of the video using at alternative connection path through a virtual WAN having a lower quality than a first connection path through the virtual WAN. If sufficient pre-fetch time is available, the (N+1)th video segment is prefetched using at least the second connection path instead of the first connection path.