5 results about "Base64" patented technology

This invention discloses an asynchronous segmented Base64 decoding method and system for a hospital-wide integrated clinical rehabilitation system. The method includes: S1: Dynamic segmentation; parsing the Base64 encoded string to identify the data type, and dividing the segment length according to the data type and the total data length; S2: Asynchronous task scheduling; dividing the decoding task into multiple levels according to the priority of medical business, and allocating the decoding task to the core thread pool and elastic thread pool according to the level; S3: Parallel decoding; precompiling the mapping relationship between Base64 encoded characters and their corresponding binary values ​​into a hash table, and using SIMD instructions to perform parallel operations on the segmented encoded data; S4: Fault tolerance verification; verifying integrity; S5: Result merging and callback; thereby improving decoding efficiency and ensuring integrity.

The application provides a method and system for LLM to accurately process long class names, the method comprising: starting a browser, loading a target webpage A of a list to be identified and waiting for the webpage to be completely rendered; injecting a customized JavaScript script into the target webpage A based on a browser debugging protocol, performing layer-by-layer noise reduction processing on an original DOM, and outputting a lightweight DOM string and an original class name and compressed class name mapping table; calling a page screenshot interface through a CDP protocol to perform screenshot, and converting binary data of the screenshot into a Base64 encoded string; constructing an LLM input prompt word containing the lightweight DOM string, the Base64 encoded screenshot and a set task instruction, inputting the LLM to obtain an XPath selector containing the compressed class name; and restoring the XPath selector into an available XPath selector containing the original class name; the method can avoid character expansion caused by random long class names generated by a website, and enable the LLM to obtain relatively complete webpage structure information.

This invention discloses an embedded data obfuscation method based on Java reflection, relating to the field of sensitive data processing technology. To address the problems of sensitive data being easily decompiled and leaked, obfuscation logic being rigid, and high resource consumption in Java embedded applications, this invention implements a six-step process using Java reflection: initializing the obfuscation context, dynamically acquiring sensitive data, multi-dimensional dynamic obfuscation operations, embedded data storage, runtime dynamic deobfuscation, and self-verification protection. A dynamic key is generated using device identifier, class hash value, and timestamp, combined with segmented XOR, bitwise obfuscation, and Base64 encryption. The obfuscated data is embedded in a class constant pool and decrypted in runtime memory, while also possessing anti-tampering self-verification capabilities. Figure 1 is a schematic flowchart of the method of this invention. This invention has the advantages of being lightweight, having no external dependencies, high security, and adapting to embedded environments, making it suitable for data security protection of Java embedded devices and IoT terminals.