20 results about "Base64" patented technology

The invention provides an e-commerce commodity graph differentiation generation method and device, equipment and a medium, and the method comprises the steps: obtaining an original to-be-shelved commodity graph of e-commerce, and finally obtaining the disassembly information; the method comprises the following steps: adjusting an original commodity image into 980 * 980 pixels, performing Gaussian blur processing at the same time, and then converting image pixel data into a Base64 coded character string; constructing a composite cue word according to the image data, the disassembly information and a format required by generation; inputting the composite cue word into a model to generate a new scene description; inputting the new scene description, the original commodity graph and the synthesis requirement into a model to generate a synthesis cue word, and then inputting the original commodity and the synthesis cue word into an image-text model to generate a differentiated commodity graph; setting the output resolution, the number of iterations and the learning rate of the SuperIR model, and inputting the differentiated commodity graph into the SuperIR model to generate a differentiated commodity optimization graph; the defects of low efficiency, poor scene adaptation, main body distortion and difficulty in repeated avoidance of a traditional method are overcome.

The application discloses a QR code encryption and decryption method and system based on chaos theory and an AES algorithm, relates to the encryption and decryption technical field of QR codes, and comprises an encryption process and a decryption process; the encryption process comprises the following steps: firstly, chaotic sequences generated by improved Logistic mapping and Chebyshev mapping are subjected to XOR to obtain a composite chaotic sequence, the composite chaotic sequence is used as an initial key of AES grouping, and then ciphertext is obtained through AES encryption. Grouping initial keys are dynamically generated, a newly generated key is used for encrypting one group of plaintext data, the keys are completely independent, and therefore, one-time password is realized. Then, the AES algorithm is improved, plaintext information is first encrypted, then secondary encryption is performed on the plaintext information in a Base64 mode, final ciphertext information is subjected to QR code standard coding, and an encrypted QR code is generated. Through the mode of increasing encryption processing, the application effectively reduces information leakage or information tampering problems caused by QR codes.

The invention discloses a high-performance asynchronous segmentation Base64 coding method and device based on a VTE system. The method comprises the following steps: dynamically adjusting the segmentation size according to the data type; the method comprises the following steps: uniformly converting an Array Buffer and a character string into a character string coded by UTF-8 (Untranslated Transform Factor-8) by adopting a preprocessor Data method, and processing illegal characters according to a fault-tolerant strategy at the same time; the method comprises the following steps of: completing single-segment coding by adopting an encoder Segment, and putting coding logic into a micro-task queue through await; calculating and displaying the encoding progress; a yieldMain Thread method is adopted, and a main thread is preferentially made to process key operations or key tasks; therefore, large file coding is prevented from blocking a main thread, and real-time response of key operations such as image preview and medical record editing of the VTE system is guaranteed; unicode medical characters are adapted, illegal character fault tolerance of medical data is supported, it is ensured that the coding process is not interrupted, and complete transmission of the data is guaranteed; medical scene progress feedback is provided, the operation experience of medical staff is improved, and repeated operation is avoided; the method is compatible with a native btoa API, and the transformation and migration cost of a VTE system is reduced.

The invention discloses an unstructured data processing method and device. The method comprises the following steps: establishing a secure data channel between a bank external system and a bank internal unstructured data storage system; based on the security data channel, receiving an access request from a bank external system; processing unstructured data according to the type of the access request; when the access request is a query request, generating an unstructured data identifier based on a request parameter; calling a software toolkit of the unstructured data storage system to pull a corresponding file of the query request to local storage, and forming an unstructured data file and a corresponding return virtual path; receiving an access instruction for the unstructured data file; and when the access request is an uploading request, decoding the Base64 coding file, calling the software toolkit, and storing the software toolkit in an unstructured data storage system. The method and the device are used for improving the efficiency and the accuracy of querying, uploading and maintaining the non-structural data.

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.

A suspicious Uniform Resource Locator (URL) of a resource on the public Internet is detected by searching a part of the URL for a candidate substring, which is the longest possible substring that is in accordance with a Base64 encoding scheme. The candidate substring is converted to a candidate binary data in accordance with the Base64 encoding scheme. The candidate binary data is then converted to a candidate American Standard Code for Information Interchange (ASCII) string. The candidate ASCII string is evaluated to determine the information type of the candidate ASCII string. A determination as to whether the URL is suspicious is based at least on the information type of the candidate ASCII string.

The invention discloses a multi-type HTTP (Hyper Text Transport Protocol) coding feature extraction method and system and a medium. The method comprises the following steps: constructing a multi-type HTTP coding data set; sample data of URL codes, Base64 codes, Unicode codes, Hex codes, HTML codes and combined codes and nested codes of the URL codes, the Base64 codes, the Unicode codes, the Hex codes and the HTML codes are collected respectively, and corresponding type labels are marked; the method comprises the following steps: reading a multi-type HTTP coded data set, sequentially reading samples, and carrying out feature extraction; constructing a multi-type coding feature matrix; constructing a coding sample feature vector, constructing and standardizing a feature matrix of the multi-type HTTP coding data set, constructing a coding type vector matrix according to type values in the multi-type HTTP coding data set, and performing transverse splicing operation on the coding type vector matrix and the standardized feature matrix to construct a multi-type coding feature matrix; according to the method, a multi-type coding data set which can be used for coding learning training, verification and testing is constructed, feature extraction is performed through unique features of multi-type coding, and the accuracy and efficiency of feature extraction are improved.

The application discloses an intelligent canvas interaction system and method based on AIAgent. The system comprises a front-end canvas module, a ChatWebSocket channel, a BridgeWebSocket channel, an AIAgent decision module, a tool registration and routing module, and a front-end tool executor. The system assigns an execution position identifier to each tool in the tool set and defines a routing decision function. The canvas state is synchronized using an incremental superposition mechanism, and the layer set, element set, and configuration parameters are updated according to a formula after the first tool call. The system supports the canvas_state tool for AI to obtain the current canvas state in real time to assist in parameter decision-making, and the canvas_preview tool for performing a screenshot on the canvas and returning a base64 encoded image for AI visual verification. The method comprises the steps of instruction receiving, semantic analysis, tool routing, cross-end execution, result summarization, and response generation. The application realizes natural language driven multi-step canvas operation, effectively reducing the user threshold.

The present invention provides a system (100) and method (200) for embedding custom metadata in Over-The-Top (OTT) streaming manifests to enhance the user experience. The system (100) includes an encoder and packager module (108) configured to generate Adaptive Bitrate (ABR) segments and corresponding media manifests. A manifest updater (112) embeds custom metadata within the manifests, including playback control information such as content advisories, scene-specific annotations, and interactive elements. The custom metadata is embedded as XML elements for DASH and UTF-8 tags for HLS, encoded in base64-encoded JSON format. The media manifests with embedded metadata are transmitted to a Content Delivery Network (CDN) (104), which delivers them to client devices (106). The client devices (106) may process the custom metadata or continue streaming without interruption if the metadata is not recognized, ensuring backward compatibility. The method (200) facilitates seamless integration of metadata, enhancing playback without affecting legacy systems.

The invention provides an e-commerce multi-grid commodity graph differentiation generation method and device, equipment and a medium, and the method comprises the steps: obtaining an original e-commerce multi-grid commodity graph, extracting each sub-graph, and recognizing the commodity main body type of each sub-graph; finally, disassembling information is obtained; the size of each sub-image is changed into 980 * 980 pixels, noise is removed, and the sub-images are converted into Base64 codes; constructing a corresponding composite prompt word according to the image data, the disassembly information and a format required by generation; inputting each composite cue word into a model to generate a new scene description corresponding to each sub-graph; inputting the original multi-grid commodity graph, the new scene description corresponding to each sub-graph and the set constraint into a model to generate a replacement prompt word; inputting the replacement prompt word and the original multi-grid commodity graph into a model to generate a multi-grid commodity replacement graph; the defects of scene replacement generalization, complex positioning, style splitting and low efficiency of a traditional method are overcome.

The invention provides a key information picture coding method based on a traditional ocr and a large model. The key information picture coding method comprises the following steps: an environment construction step: deploying image processing, optical character recognition, two-dimensional code / bar code analysis, a large model related tool library and a framework; an image preprocessing step: receiving Base64 coded data of a picture, decoding and converting the Base64 coded data into a standard image format, and further converting the Base64 coded data into an array format; a character recognition and positioning step: carrying out character content recognition and spatial position positioning on the preprocessed image by adopting an optical character recognition tool; a sensitive information detection step: on the basis of the sensitive information identification keyword, carrying out sensitive information detection of multiple types of targets on a character identification result and an image to obtain desensitization information; a sensitive information integration and coding step: integrating detection results of multiple types of sensitive information, and carrying out duplicate removal processing on repeated sensitive information of which the overlapping rate exceeds a preset threshold value in the same region; outputting a result; the problem that the traditional OCR cannot process special pictures is solved.

The invention discloses an MMS multichannel information model transmission scheduling system based on a file IO stream, and relates to the technical field of system architecture design. According to the method, the file content in the MMS model is transmitted in an IO stream format, and the file content information is converted into the Base64 code to be encrypted, so that the limitation of a system UI visual submission model is solved; after the content submitted by the MMS model is obtained and analyzed, a server connection object is created through an SFTP protocol, and connection login is remotely carried out on the file server through an account, an IP, a port and a password; after the file server is logged in based on the SFTP protocol, the file information is converted into the File object and is stored in the formulated path under the file server in a cross-server manner, so that the problem that the memory of the database is occupied when the file is stored in the database is relieved, the controllability of file management is improved, only one model corresponds to multi-channel reporting through a multi-channel concurrent reporting model, and the reliability of file management is improved. Therefore, the model reporting efficiency is improved, and the success rate of issuing the short message by the user is improved.

The invention provides an HTML (Hypertext Markup Language) page local hot update method based on DOM positioning and feature comparison. After a front-end page obtains an HTML source code, the HTML source code is preprocessed to remove blanks, annotations and continuous spaces, compressed through a GZIP algorithm and converted into a character string through BASE64 coding, and the character string is sent to a rear end. A back-end application analyzes a source code to generate a Document object, and extracts front-end head and body feature information, including an element hash value and a node path. During updating, the back end queries the hot update code, analyzes and generates update feature information, and compares the difference between the front and back features to generate an operation instruction set. After the front end receives the instruction, elements are accurately positioned according to node paths, and corresponding operation is executed to complete local updating. The method solves the problems of inaccurate DOM element positioning, overlarge updating range and low transmission efficiency in the existing hot updating technology, realizes on-demand local updating, reduces the network bandwidth occupation, improves the updating efficiency and optimizes the user experience.

The invention relates to a mail content feature matching method and system based on a flow analysis system, which realize non-complete cache stream processing of a subject and a main body of a mail through TCP stream recombination, line-by-line MIME analysis and dynamic code identification, effectively solve the problem of delay of long mail body extraction in the prior art, and improve the extraction efficiency. And the accuracy of continuous matching of the inter-row keywords is ensured. Meanwhile, limited byte cache and Base64 grouping characteristics are utilized to reduce memory occupation, rule grouping transcoding, hit mark priority adjustment and alarm frequency suppression are combined, matching timeliness and system load efficiency are remarkably improved, a prevention and control strategy is taken into effect in time on the premise of ensuring characteristic correctness, missed transmission of malicious mails is avoided, and the service life of the system is prolonged. And an efficient and real-time network security guarantee is provided for a traffic analysis system.

The invention relates to an encryption method of random IV and HEX codes based on AES. The method comprises the following steps: acquiring original plaintext data; a Web Crypto API is adopted to generate a random IV, and through the random IV and a predetermined AES key, an AES encryption algorithm is adopted to encrypt the original plaintext data to obtain a ciphertext; and encoding the ciphertext according to a dynamic HEX-Base64 hybrid encoding method, so as to obtain final encoded data. According to the method, the random IV and AES encryption are combined with the dynamic HEX-Base64 hybrid coding, so that WAF interception is effectively avoided, the false alarm rate is reduced, and the data transmission security and the service continuity are guaranteed.

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.

The invention relates to a method and a device for agile configuration of installation and maintenance based on a digital retina terminal, and belongs to the field of embedding, and the method comprises the following steps: receiving multicast information of an installation and maintenance client through a monitoring multicast mode, and explaining multicast data according to a private protocol; tCP long connection with the installation and maintenance client is established, and meanwhile, heartbeat packet keep-alive with the installation and maintenance client is kept; monitoring and receiving data of the unitized domain name parameters, and decrypting BODY data of the data through key information; performing base64 decoding on the encrypted base64 data of the unitized domain name to obtain actual encrypted unitized domain name data, decrypting the actual encrypted unitized domain name data to obtain decrypted unitized domain name data, and returning the decrypted unitized domain name data to the platform; and generating a receiving entrance domain name parameter mark file, and playing a voice file representing that the agile configuration is successfully installed and maintained. According to the method and the device, the efficiency of scheduling the unitized domain names of the equipment can be effectively improved, the installation and maintenance efficiency and the development efficiency are improved, and the cost and the working difficulty are reduced.

The present invention provides a cybersecurity system and method for monitoring and detecting session token theft from a device. The system comprising a primary web-based application that detects the theft and misuse of browser session tokens by deploying decoy tokens and a network of decoy sites. The system generates decoy session tokens that closely mimic legitimate session tokens by encrypting unique client identifiers and base64 encoding the resulting data. These decoy tokens are injected into the browser via a browser extension and monitored by the primary application for any unauthorized use. When an attacker attempts to use a stolen decoy session token, the system triggers an alert, enabling rapid response and mitigation.

The invention provides an automatic grabbing and classification processing system based on dynamic task scheduling, and relates to the technical field of data processing, and the system comprises a pipeline transaction analysis module which is used for carrying out gzip decompression and base64 decoding processing on an encrypted pipeline message to generate a plaintext message; the data desensitization module is used for receiving a plaintext message and performing sensitive domain information identification on the plaintext message to obtain a plaintext message of which the sensitive domain information is identified and a plaintext message of which the sensitive domain information is not identified; performing data desensitization processing on the plaintext message of which the sensitive domain information is identified to generate a desensitized message, and converting the desensitized message into a first type of base64 format message; converting the plaintext message of which the sensitive domain information is not identified into a second type of base64 format message; and the transaction classified storage module is used for receiving the first type of base64 format messages and the second type of base64 format messages. According to the invention, efficient and accurate processing of production flow data in a quasi-production playback comparison test can be realized.

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.