5 results about "Internet content" patented technology

This invention discloses a network security browsing system and method. First, a user request forwarding module sends user requests to an RBI server, with all subsequent interactions completed on the RBI server. This achieves physical isolation between the user's local device and internet content, preventing direct attacks from malicious websites and ensuring user access security. Second, a request analysis and processing module performs in-depth analysis of the content and destination of user requests, proactively identifying and intercepting potential threats such as phishing websites and malicious code injection, compensating for the shortcomings of traditional technologies in ensuring website content security. Third, when the target website is secure, the content acquisition and presentation module allows the RBI server to request and process content in a secure environment, making it difficult for malicious code to cause damage and preventing attacks on the system. All modules work together to create a safe and reliable network browsing environment for users.

The disclosure provides a large model-based multi-style Internet content batch generation method and device, which comprises: acquiring specified materials and collecting content data related to the specified materials; based on the specified materials, the content data, and pre-configured multi-target style configuration information and content generation instructions, a standard instruction for generating multi-style Internet content is constructed; based on the standard instruction, a content generation large model matched with the multi-target style configuration information is used to generate multi-style Internet content in batches. Through the method of the disclosure, content batch generation can be realized, the output style can be accurately controlled, the output content homogenization can be avoided, and the content adaptability and transmission efficiency in large-scale information transmission scenarios can be significantly improved.

This disclosure provides an automatic forensic method, apparatus, device, and storage medium for internet content. The method includes: batch acquiring tasks to be processed; parsing each acquired task to obtain key task information for each task; allocating each task to corresponding server nodes based on its task priority, task type, and resource information of each server node in the server cluster; configuring task parameters of the browser instance corresponding to each task based on its task type and forensic method to obtain a browser instance adapted to each task; and performing processing such as loading, screenshotting, adding watermarks, and data packaging on the target webpage corresponding to each task based on the adapted browser instance to obtain the forensic result of each task. The method disclosed herein enables efficient batch forensic collection of internet content.

The application provides a method and related device for application recognition, the method comprising: obtaining a target application and performing analysis, and obtaining a fixed text framework of the target application; in response to the fixed text framework of the target application being successful based on a first matching rule, identifying the target application through a preset matching model; and in response to the fixed text framework of the target application failing based on the first matching rule, identifying the target application through a preset template library. The fixed text framework of the target application is matched with the text framework of Internet content in the preset matching model and the preset template library, so that the target application and its type can be identified.

This invention provides a fine-grained method and system for detecting harmful memes based on information theory semantic decompression, belonging to the field of multimodal information processing and internet content security. It includes: extracting image and text features of the meme to be detected and fusing them into a joint vector; calculating the risk value of the meme based on the joint vector and classifying it into low-risk or high-risk memes; using the joint vector of the high-risk meme as a query vector to retrieve an external explicit semantic explanation from a pre-built semantic decompression knowledge base, and concatenating and fusing it with the original high-risk meme features as the semantic decompression context to construct an enhanced input prompt; and outputting the fine-grained category of the meme based on the original low-risk meme or the enhanced input prompt. This invention significantly improves the model's ability to understand metaphors and emerging hate symbols, enhances fine-grained detection accuracy, and significantly reduces the system's computational overhead and inference latency.