929 results about "Uniform resource locator" patented technology

A computing device can receive a first conversational input of one or more sequential conversational inputs via one or more user input devices. The first conversational input can be associated with a particular uniform resource locator (URL) address. The computing device can process the first conversational input using one or more natural language processing algorithms to determine one or more intents based on the first conversational input. The computing device can select one or more data segments from a data store based on the intents. The computing device can generate a command including the data segments. The computing device can generate a generative response by performing the command with a generative artificial intelligence algorithm. The computing device can provide a response to the first conversational input based on the generative response.

The method and systems for automatically identified currently viewing website domain name or a uniform resource locator (URL), receiving, by the server, said automatically identified website domain name or the uniform resource locator (URL), a request or an invitation for initiating a communication including live chat, puts the request for initiating a communication including live chat from the first user and the second user in a communication including live chat queue of the website or the uniform resource locator (URL) associated account, for available or identified or relevant agents to pick up, routing request or invitation for initiating a communication including live chat from the first user and the second user according to a pre-set rules and start a communication including live chat by available agent by selecting particular request for initiating a communication including live chat from the queued communication including live chats.

The concepts and technologies disclosed herein are directed to continuous external risk assessment for Internet-facing assets. In one or more implementations, a system can execute a web crawl using a plurality of seed uniform resource locators. The system can execute a domain name service subdomain scan and a subdomain scan. The system can obtain asset data associated with one or more client assets. The system can determine, based upon the asset data and results of the web crawl, the domain name service subdomain scan, and the subdomain scan, whether each domain of a plurality of domains is known.

The invention discloses a multi-agent automatic penetration testing system fusing a large model and reinforcement learning, and relates to the technical field of network security, and the system comprises the steps: starting a mixed multi-agent automatic penetration testing process combined with the large model through inputting a URL (Uniform Resource Locator); multi-agent joint action is carried out to comprehensively collect and classify website information; multiple agents execute vulnerability mining in parallel, and a result is fed back to perform deep reinforcement learning optimization; the multi-agent formulates a specific utilization scheme for the mined vulnerabilities; the potential vulnerabilities are subjected to validity verification through multi-agent cooperation, results are recycled, and the decision accuracy is gradually improved through a deep learning feedback mechanism; the multi-agent generates a safety report according to a module result, and feeds back the safety report to the related agent to enhance the deep learning performance and improve the decision effectiveness. According to the method, large model analysis and reasoning capabilities are integrated, multi-agent collaborative scheduling is realized, automatic security scanning is executed on a target website, and potential security vulnerabilities are effectively detected and evaluated.

A system and method for implementing a non-interactive and automatic way of facilitating user authentication with a proxy server is disclosed. At least, the technique disclosed includes determining a request to access a web server by a Hypertext Transfer Protocol (HTTP) agent on a client device, retrieving a proxy configuration file from a Uniform Resource Locator (URL) assigned to the client device, determining, using the proxy configuration file, a host name and a port number of a proxy server corresponding to the request, and routing, from the HTTP agent to the proxy server, the request using the host name and the port number of the proxy server, the proxy server configured to look up a user mapping table using a set of proxy connection information and uniquely identify a user of the client device based on the look up, the set of proxy connection information including a combination of a public Internet Protocol (IP) address of the client device, the host name of the proxy server, and the port number of the proxy server.

The invention belongs to the technical field of webpage data analysis, and particularly relates to a webpage data analysis method based on a large language model, which comprises the following steps: acquiring a target website URL (Uniform Resource Locator) input by a user; carrying out preliminary analysis on the input URL by utilizing a large language model; the DOM structure of each website is analyzed, and HTML elements and the hierarchical relation thereof are extracted; generating a corresponding data crawling script according to an analysis result; executing the data crawling script, and extracting required data from each website; the extracted data is preprocessed; performing multi-source fusion on the preprocessed data; extracting main information from the fused data; and storing the finally processed and extracted information in a database. According to the method, automatic analysis of complex webpage data, intelligent entity extraction and knowledge expansion and efficient data fusion and duplicate removal are realized.

Secure access to a database is facilitated by an LLM. A natural language (NL) query is received and passed to an LLM in a prompt along with all or part of a commands for accessing a database without passing the data stored in the database. The prompt may further include instructions to generate one or more commands to access the database to retrieve data responsive to the query. The instructions may instruct the generation of a URL to access relevant data. Data responsive to the command may be embedded in a document presented to a user. The document may be selected by the LLM in response to a second prompt. The command is executed with respect to the database only upon validating access of a user to the data referenced by the command.

A method, apparatus, and system of activating and using a contactless card via unique activation codes are disclosed. A system includes a memory and a processor configured to: receive an account number for a contactless card from a third party computing system; generate a card activation code for the contactless card, the card activation code being unique to the contactless card; generate a customer-specific uniform resource locator (URL) by appending the card activation code to a general URL, the general URL being associated with an entity of the system; transmit the customer-specific URL to the third party computing system with instructions to write the customer-specific URL into a wireless chip of the contactless card; associate the card activation code with the account number and information regarding a customer associated with the contactless card; and store the card activation code within the memory to be referenced during activation.

Systems and methods are provided for implementing URL embeddings for aligning parallel documents that are corresponding web pages in at least two different languages. A computing system uses a pre-trained model of an AI system to calculate URL embeddings for each URL among a plurality of URLs. The system identifies, based on closeness of the points represented by the URL embeddings, a set of candidate parallel URLs by analyzing the URL embeddings for the plurality of URLs or for a second plurality of URLs that has been partitioned into a cluster, using a clustering algorithm. A set of parallel URLs, associated with the parallel documents, is selected from the identified set of candidate parallel URLs. Document text and / or parallel sentences are extracted from web documents associated with the set of parallel URLs to train a machine translation model for translating between two or more languages.

The invention discloses a multi-level feature self-attention malicious URL detection method based on post-training, belongs to the field of malicious URL detection, and overcomes the defects of a traditional detection method in domain adaptability and feature capture by constructing a pre-training language model based on post-training and combining multi-level feature extraction and a dynamic attention mechanism. By introducing three self-supervised learning tasks of a mask language model, a noise language model and domain discrimination, the understanding of the model on URL features is enhanced; by extracting multi-level features from a low order to a high order and dynamically adjusting the weight of a feature layer, malicious links can be identified more accurately; experimental results show that under the challenging conditions of small-scale data, class imbalance, attack resistance and the like, the method is remarkably superior to an existing deep learning model and a traditional method, more effective technical support is provided for network security, and meanwhile, the universality, the robustness, the expandability and the data change response capability of the model are evaluated through experiments.

An offline collection system comprises a pipeline for storing metadata of user interface (UI) elements at web pages of a web application. The pipeline comprises crawling uniform resource locators (URLs) of web pages of the web application for content and rendering screenshots of the web pages. The pipeline then prompts a multimodal large language model (LLM) to generate database entries for the web pages comprising UI element metadata derived from the crawled content and rendered screenshots. A response system receives user queries to navigate the web application and augments prompts to an LLM to respond to the user queries with metadata of UI elements relevant to the user queries stored by the offline collection system.

A multi-channel ticket creation and service management system that includes: a graphical interface controller configured to provide a graphical user interface (GUI) accessible through a plurality of predefined Uniform Resource Locators (URLs), the GUI including interactive service request forms associated with a plurality of hierarchical service and subservice classifications; a form processing circuit operatively coupled to the graphical interface controller and configured to receive a selected service-subservice combination from a user and dynamically populate subsequent input fields based on a predefined service taxonomy, the input fields including contact information, email address, subject, location identifier, area of ​​responsibility field, and a description field; a rule execution logical processing unit coupled to the form processing circuitry, the rule execution logical processing unit configured to enable or disable one or more context-sensitive fields based on logical rules stored in a service-subservice dependency tree, the logical rules governing the enablement of date and time fields exclusively when the selected service is journalism and the selected subservice is newspaper reporting; an authentication mapping processor comprising a session parser and a user-to-department resolver, wherein the session parser is configured to extract user credentials and associated metadata from session cookies or authentication tokens, and the user-to-department resolver is configured to auto-populate an activity-driven scope field based on the extracted metadata and an organizational mapping scheme; and a validation and transmission control unit configured to check the completeness and data type conformity of all enabled fields, generate a structured ticket record, and transmit it to a central ticket management platform.

The invention discloses a short link generation method, a link management method, electronic equipment and a storage medium, and the short link generation method comprises the following steps: receiving a request of a user side, splicing the long URL, user information and a timestamp into a character string, carrying out the Hash calculation of the spliced character string, and storing the Hash calculation result in the user side. The method comprises the steps of generating a unique hash value, signing the hash value by using a private key, generating a digital signature, encoding the hash value, user information, a timestamp and the digital signature, generating a character-readable encoding string, and splicing encoded data with a basic URL (Uniform Resource Locator) of a server to form a final short link. According to the method, the user information is embedded into the short link, and the digital signature and the Hash algorithm are combined, so that the generated short link is ensured to have an efficient compression function, tampering can be prevented, the data integrity can be ensured, and the link safety is improved.

Apparatuses, systems, and techniques for classifying a candidate uniform resource locator (URL) as a malicious URL using a machine learning (ML) detection system. An integrated circuit is coupled to physical memory of a host device via a host interface. The integrated circuit hosts a hardware-accelerated security service that obtains a snapshot of data stored in the physical memory and extracts a set of features from the snapshot. The security service classifies the candidate URL as a malicious URL using the set of features and outputs an indication of the malicious URL.

The invention discloses a page exception processing method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps that a uniform resource locator of a target page is acquired, the target page is loaded through WebView and the uniform resource locator, and all loading events of the WebView in the loading process are monitored; under the condition that the WebView processes a network request event in each loading event, obtaining a resource data volume of a target page through the network request event, and determining a loading duration threshold according to a network state, equipment performance and the resource data volume; and displaying a page closing control and / or a page refreshing control at a preset position of the application interface under the condition that loading of the loading event fails or loading completion of each loading event is not monitored when a loading duration threshold value is exceeded, so that the problem that an interface area cannot exit or be reloaded when the WebView is loaded abnormally in the prior art is solved. And the user experience is ensured.

The present application discloses a method, system, and computer system for providing access to data. The method includes receiving, by a data manager service from a data requesting service, a request using an identifier for a high-level data object to access a set of data associated with the high-level data object, determining, by the data manager service, low-level data object(s) corresponding to the set of data based on the identifier for the high-level data object, determining whether a user associated with the request has permission to access at least a subset of the low-level data object(s), and in response to determining that the user associated has permission to access the at least the subset of the low-level data object(s), generating, by the data manager service, a uniform resource locator (URL) via which the at least the subset of the one or more low-level data objects is accessible by the user.

Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.

A method includes receiving, from a user, an embedded application view request requesting embedding of an application view within a host container. The application view is derived from a no-code application, and the no-code application is generated using a no-code application development environment. The embedded application view request includes a uniform resource locator (URL) referencing the no-code application and a data record of a dataset associated with the no-code application. The method includes obtaining credentials associated with the user and determining, using the credentials, that the user has access to the data record of the dataset. The method also includes, after determining that the user has access to the data record of the dataset, rendering, within the host container at an anchor location, an embedded application view based on the data record of the dataset.

Aspects of the disclosure relate to using multiple machine learning models and a sand-box environment to detect malicious uniform resource locators (URLs) and login pages stored in a QR code. An application on a computing device will augment QR code data stored in a QR code and the computing device sends the QR code data and computing device metadata to a deep learning computing platform. The QR code data may comprise a URL and communication protocol information. The deep learning computing platform will generate, by multiple machine learning models and a sand-box environment, a sand-box score using the URL, a user-based score using the computing device metadata, and a connections score using the communication protocol information. The deep learning platform then determines whether the computing device should reject and delete the QR code data based on whether the scores are below a pre-determined threshold.

Systems, methods, articles of manufacture, and computer-readable media for determining specific terms to activate a contactless card. An application executing on a server may receive a request from a device specifying a uniform resource locator comprising encrypted data, the encrypted data based at least in part on a private key assigned to a contactless card. The application may decrypt the encrypted data and determine a type of the contactless card. The application may determine a plurality of terms associated with the type of the contactless card and transmit the terms to a web browser on the device. The application may receive, from the web browser, an indication specifying acceptance of the plurality of terms. The application may store, based on the decryption of the encrypted data and the received indication specifying acceptance of the terms, an indication in a database specifying the contactless card is activated for use.

Methods for network aware endpoint data loss prevention (DLP) in web transactions are performed by systems and devices, which includes implementing DLP on endpoint devices and focuses on web traffic events from web browsers, while also associating the events to the network source entity. File download and upload events are intercepted from the operating system by a file system filter that determines the process creating events is a web browser based on process identifiers and comparing process names and process executable signatures. A uniform resource locator (URL) from a current tab or session is retrieved for the web browser. Policies for events are evaluated via a policy server or via cache, and additional data from the file is provided for policy decisions when necessary. DLP actions taken via the file system filter to block or allow events, including encrypting file data, are based on the policy decisions.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for mapping webpages to page groups. The program and method provide for receiving plural Uniform Resource Locators (URLs), each URL of the plural URLs corresponding to a respective webpage of a website; generating a distance matrix with pairwise distances between the plural URLs; performing hierarchical clustering based on the distance matrix, to generate a dendrogram in which the plural URLs are arranged in hierarchical clusters; and determining, based on the dendrogram, a predicted page group for each of the plural URLs.

The invention discloses a real-time process mining method based on data analysis, which belongs to the technical field of data analysis, and comprises the following steps: providing a user interface, allowing a user to configure input parameters of a data acquisition task, including a target website URL (Uniform Resource Locator) and an acquisition frequency; the data acquisition module is used for realizing pre-definition and comprises a webpage crawler module which is used for automatically accessing and capturing contents of a target website and pre-processing the contents; an API calling module is provided and used for obtaining data from a third-party service or a data provider; the database query supporting module is used for directly extracting data from a database and carrying out encryption transmission on the data; monitoring the state and performance of the data acquisition task in real time; when abnormity or performance reduction is detected, the system automatically triggers an alarm; according to the method, the technical threshold of process mining is remarkably reduced through a user-friendly interface.

Systems and methods for implemented by a user device for Real User Monitoring (RUM) include operating an add on for a web browser; receiving a list of domains or Uniform Resource Locators (URLs) to calculate RUM data thereon; responsive to the web browser accessing any of the domains or URLs in the list, calculating and storing RUM data; and periodically sending the stored RUM data to a cloud-based system. The RUM data can include statistics, metrics, and errors that are detected based on any of start of navigation, redirects, Domain Name System (DBS), connection establishment and teardown, Hypertext Transfer Protocol (HTTP) request and response start and end, Document Object Model (DOM) load time, page load time, and Java Script and AJAX error detection.

The invention discloses an https protocol data forwarding system for ultrahigh frequency data, and relates to the technical field of data forwarding, the forwarding system comprises a client initialization module, the client initialization module comprises a hardware adaptation layer, a data forwarding layer and a data forwarding layer, the hardware adaptation layer is based on reader-writer development boards of different architectures, generating a binary running file matched with the hardware architecture through a cross compiling tool chain; the library function integration layer is used for integrating an encryption module and a URL (Uniform Resource Locator) analysis module of a Curl library, and loading to a development board system in a dynamic link library or static link library form; and a data processing interface. On the premise of guaranteeing the data transmission security, the transmission efficiency of the ultrahigh frequency data and the stability of the system are greatly improved, many problems in the prior art are effectively solved, and the ultrahigh frequency data transmission system has remarkable innovativeness and practicability, can be widely applied to various scenes with strict requirements on ultrahigh frequency data transmission, and has wide application prospects. And a powerful technical support is provided for the development of related fields.

The present invention generally relates to systems and methods for the efficient and secure creation of unique identifier associated with submitted URLs and the transmission and processing of encrypted signals by a receiving device, and in particular an audio transmission and processing of encrypted unique inaudible signals by a receiving device that may direct the receiving device to initiate an action, such as directing the receiving device to request an associated Uniform Resource Locator (URL) to then access a specific URL or other digital content through a browser application. The decoding and processing of the transmitted signal is operated on prior to the signal being played through the receiving devices speaker system(s). Consideration of the available signal bit rate is another aspect of the system's operational integrity.

A method and apparatus for performing privacy preserving fraud detection in network based transactions are described. The method may include receiving a fraud detection message during a transaction between a user system and a merchant system, the message having a set of cryptographically transformed universal resource locator (URL) components generated from a URL of a web page of the merchant system on which the transaction is to occur. The method may also include generating one or more secure and anonymous fraud detection features, each fraud detection feature comprising a select subset of the cryptographically transformed URL components. The method may also include performing fraud detection for the web page using the one or more secure and anonymous fraud detection features to determine a likelihood that fraud is occurring in the transaction.

A computer-implemented method of detecting a Uniform Resource Locator (URL) encoded in a barcode in an email includes receiving the email, and prior to delivering the received email, providing the received email to a barcode URL detection engine. The barcode URL detection engine may be configured to parse the received email, build a structured representation of the email, extract an image from the structured representation of the email, send the extracted image to a barcode scanner and receive a result back from the barcode scanner. When the received result indicates that the extracted image contains a barcode storing a HTTP or HTTPS URL, the barcode URL detection engine may determine whether the URL is suspicious. When the URL is determined to be suspicious, the barcode URL detection engine may perform one or more selected actions to protect the intended recipient of the received email from the suspicious URL.

The invention discloses a three-dimensional data acquisition method and a related device, and belongs to the technical field of Internet. The method comprises the steps that a data acquisition request sent by the user terminal is received, the data acquisition request carries a target uniform resource locator URL and three-dimensional indication information, the target URL is a URL of a target virtual space, and the three-dimensional indication information indicates a target three-dimensional model in the target virtual space; acquiring data of the target three-dimensional model based on the target URL and the three-dimensional indication information; and sending the data of the target three-dimensional model to the user terminal. The three-dimensional data is sent to the user terminal through the content distribution network, the distribution speed of the three-dimensional data can be improved, the edge node closest to the user terminal serves as the first node, the first node obtains the three-dimensional data and then sends the three-dimensional data to the user terminal, and the efficiency of obtaining the three-dimensional data by the user terminal can be improved.

A system may generate all possible character mistakes in a first uniform resource locator associated with a first website, which may produce a set of unique and similar uniform resource locators associated with a set of similar websites. The system may execute machine vision algorithms to compare visual images of the first website and the set of similar websites, and identify a subset of similar websites, which may be undistinguishable from the first website. The system may block the subset of websites, and thereby prevent any user from accessing these fraudulent and malicious websites.