Abstract: A cyber attack log processing method, an electronic device, and a storage medium are provided. The method includes: determining, for each attack log in the first attack log set, an attack type of the attack log according to the target attack mode corresponding to the attack log; and inputting, for each determined attack type, basic alarm information, interface information, and the target attack mode corresponding to each attack log belonging to the attack type in the first attack log set and a model prompt into a first large language model to obtain a first attack behavior analysis report corresponding to the attack type.

Abstract: A watermark embedding and extraction method, and an electronic device are provided. The method includes: obtain a plurality of original videos corresponding to a same video content, and a video serial number and a to-be-embedded watermark corresponding to each of the plurality of original videos; for each of the plurality of original videos, dividing the original video according to a first quantity and a second quantity to obtain a frame sequence of the original video; allocating a watermark code for each of the frame sequences according to a timing of each of the frame sequences and an order of each watermark code, and determining a first watermark and a second watermark corresponding to each of the frame sequences according to the watermark code allocated to each of the frame sequences; and adding a target watermark for each sub-unit to obtain a watermark video corresponding to the original video.

Abstract: The present disclosure provides an interface access processing method and apparatus, a computer device and a storage medium, and the method includes: acquiring target access behavior sequences of an access party within a first specified time range, the target access behavior sequences including an access action behavior sequence and an access time interval sequence; calling an identification model for prediction processing to obtain an identification result based on the access action sequence and the access time interval sequence, the identification result being used for representing a classification probability that the access party has abnormal behaviors; and controlling an interface access request within a second specified time range of the access party according to the identification result, a start time of the second specified time range being later than an end time of the first specified time range.

Abstract: A light fixture includes a sconce, a mounting plate, a backplate, and a buckle. The sconce includes a symmetrical portion and an asymmetrical portion. The mounting plate includes a circular cross-section in a circumferential direction. The backplate includes a ramped surface configured to support the light fixture via the mounting plate, and the backplate has a circular cross-section in a circumferential direction. The buckle is configured to latch on the buckle and be supported by the mounting plate via the buckle so that the buckle applies a frictional force to oppose a rotation force placed on the light fixture by the asymmetrical portion of the sconce.

Abstract: The present disclosure provides a method, apparatus, electronic device, storage medium and product of marking an API interface. The method comprises: obtaining API interface information in API interface access traffic data; inputting the API interface information into a target model to obtain first information about the API interface information output by the target model; wherein the first information comprises at least one of: functional description information and interface name information of the API interface, and wherein the target model is trained based on first training data, and the first training data comprises first interface information and at least one of corresponding first functional description information or first interface name information; and marking the API interface based on the first information.

Abstract: The present disclosure relates to application startup control methods and control devices. One example method includes determining, based on information of a first application, whether to restrict startup of a second application to be triggered by the first application, where the information of the first application is used to indicate an importance degree of the first application in a system, and restricting the startup of the second application in response to determining to restrict the startup of the second application.

Abstract: Provided in the disclosure, a method, an apparatus a device, and a storage medium for processing a client-side problem are are provided. An example method includes: determining at least one information acquisition functional block from a plurality of information acquisition functional blocks based on a received user input, the user input indicating a client-side problem related to a client of a user, different information acquisition functional blocks of the plurality of information acquisition functional blocks configured to obtain different types of client-side information; obtaining target information related to the client-side problem of the client using the at least one information acquisition functional block; and providing a response to the client-side problem using a first machine learning model based on the user input and the target information.

Abstract: The present application provides a model training method, a watermark restoration method, and a related device.

Abstract: The present disclosure provides an interface access processing method and apparatus, a computer device and a storage medium, and the method includes: acquiring target access behavior sequences of an access party within a first specified time range, the target access behavior sequences including an access action behavior sequence and an access time interval sequence; calling an identification model for prediction processing to obtain an identification result based on the access action sequence and the access time interval sequence, the identification result being used for representing a classification probability that the access party has abnormal behaviors; and controlling an interface access request within a second specified time range of the access party according to the identification result, a start time of the second specified time range being later than an end time of the first specified time range.

Abstract: A method for domain name detection, a device and a storage medium are provided. The method includes: matching a to-be-detected domain name with a preset domain name set; in response to the to-be-detected domain name being not in the preset domain name set, calculating an edit distance between at least part of level domain names of the to-be-detected domain name and a preset domain name keyword in a domain name keyword set; in response to an edit distance between a target level domain name and a target preset domain name keyword being smaller than preset distance threshold, acquiring a character pair in which the target level domain name differs from the target preset domain name keyword, and matching with a similar character pair set; and in response to determining the character pair being in the similar character pair set, determining that the to-be-detected domain name has a security risk.

Abstract: A method for domain name detection, a device and a storage medium are provided. The method includes: matching a to-be-detected domain name with a preset domain name set; in response to the to-be-detected domain name being not in the preset domain name set, calculating an edit distance between at least part of level domain names of the to-be-detected domain name and a preset domain name keyword in a domain name keyword set; in response to an edit distance between a target level domain name and a target preset domain name keyword being smaller than preset distance threshold, acquiring a character pair in which the target level domain name differs from the target preset domain name keyword, and matching with a similar character pair set; and in response to determining the character pair being in the similar character pair set, determining that the to-be-detected domain name has a security risk.

Abstract: The present disclosure relates to an image processing method, readable medium and electronic device. The method comprises: acquiring a watermark image, wherein the watermark image is an image embedded with a foreground watermark, and the foreground watermark is generated by watermark information; determining a first image channel embedded with the foreground watermark and a second image channel not embedded with the foreground watermark in the watermark image, and determining a channel difference feature map of the watermark image according to channel information of the first image channel and channel information of the second image channel; performing feature enhancement processing on the channel difference feature map to obtain a first watermark enhanced feature map of the watermark image, wherein the first watermark enhanced feature map is used for extracting the watermark information of the watermark image.

Abstract: The present disclosure relates to an image processing method, readable medium and electronic device. The method comprises: acquiring a watermark image, wherein the watermark image is an image embedded with a foreground watermark, and the foreground watermark is generated by watermark information; determining a first image channel embedded with the foreground watermark and a second image channel not embedded with the foreground watermark in the watermark image, and determining a channel difference feature map of the watermark image according to channel information of the first image channel and channel information of the second image channel; performing feature enhancement processing on the channel difference feature map to obtain a first watermark enhanced feature map of the watermark image, wherein the first watermark enhanced feature map is used for extracting the watermark information of the watermark image.

Abstract: A generation method and apparatus for sample data, a method and apparatus for information detection, a device and a storage medium are provided, and the generation method includes: acquiring first reference data, the first reference data including target information matching a target information type, and the target information type being a preset information type with a security requirement; performing analysis processing on the target information in the first reference data to generate an analysis result corresponding to the target information, the analysis processing including semantic analysis, lexical structure analysis and grammatical structure analysis; generating a plurality of positive sample information and a plurality of negative sample information based on the analysis result corresponding to the target information; generating a sample data set including positive sample data and negative sample data based on the plurality of positive sample information, the plurality of negative sample information

Abstract: Embodiments of the disclosure relate to a method, apparatus, device and storage medium for watermark embedding and watermark extraction. The watermark embedding method includes: determining, based on a set of key points identified in an image to be processed, at least one image block to be processed in the image to be processed; generating, based on watermark information and the at least one image block to be processed, at least one target image block corresponding to the at least one image block to be processed respectively, each target image block being embedded with at least a portion of the watermark information; and generating a target image for the image to be processed by replacing the at least one image block to be processed with the at least one target image block in the image to be processed respectively.

Abstract: A method and apparatus for sample generation, a method and apparatus for information detection, a computer device, and a storage medium are provided, and the method for sample generation includes: acquiring a reference data set, where the reference data set includes first reference data and second reference data, the first reference data includes at least one information sample value, the information sample value belongs to a target information type, and the second reference data does not include an information sample value of the target information type; determining a target template corresponding to the first reference data based on the at least one information sample value in the first reference data; generating a plurality of sample information based on the target template corresponding to the first reference data; and generating a sample data set based on the plurality of sample information and the second reference data.

Abstract: A method and apparatus for watermark extraction, a computer device and a storage medium are provided. The method includes: acquiring an image to be detected; inputting the image to be detected into a watermark recognition network and acquiring a watermark detection result corresponding to the image to be detected; and when the watermark detection result includes presence of a hidden watermark, extracting the hidden watermark in the image to be detected based on at least one extraction algorithm corresponding to the watermark detection result.

Abstract: Embodiments of this application provide an application startup control method and control device. The method includes: receiving information that is sent by a first application and that is used to trigger startup of a second application; determining, based on at least one of the information of the first application and a currently available resource amount of a system, whether to restrict the startup of the second application, where the information of the first application is used to indicate an importance degree of the first application in the system; and restricting the startup of the second application when it is determined that the startup of the second application needs to be restricted. According to the method and the device in the embodiments of this application, resource waste caused because startup of an application is frequently triggered by another application is reduced, and therefore system performance can be improved.

Abstract: The present disclosure relates to application startup control methods and control devices. One example method includes receiving information that is sent by a first application and that is used to trigger startup of a second application, determining, based on at least one of the information of the first application and a currently available resource amount of a system, whether to restrict the startup of the second application, where the information of the first application is used to indicate an importance degree of the first application in the system, and restricting the startup of the second application in response to determining to restrict the startup of the second application.

Abstract: The present disclosure relates to application startup control methods and control devices. One example method includes receiving information that is sent by a first application and that is used to trigger startup of a second application, determining, based on at least one of the information of the first application and a currently available resource amount of a system, whether to restrict the startup of the second application, where the information of the first application is used to indicate an importance degree of the first application in the system, and restricting the startup of the second application in response to determining to restrict the startup of the second application.