126 results about "User agent" patented technology

Techniques for logical text passage generation and retrieval for retrieval-augmented generation. The techniques involve processing markup language documents to generate logical text passages and their corresponding embeddings. These embeddings are indexed for efficient retrieval. Upon receiving a user utterance, a user query is formed and transformed into an embedding to query the index. Relevant text passages are identified and used to prompt a large language model (LLM), which generates a completion. This completion is then sent as a response to the user. The process effectively bridges user queries with relevant information through advanced embedding and natural language processing techniques, enabling accurate and contextually appropriate interactions within a user-agent dialogue framework.

A platform for automated design of gene-editing experiments includes one or more processing units and a non-transitory computer-readable storage device. The storage device contains instructions that, when executed, configure the processing units to perform a method. The method includes receiving a meta request with information about a requested gene-editing experiment, configuring an ordered list of tasks via a reasoning framework, and implementing tasks via a Task Executor module utilizing state machines. The Task Executor connects to external APIs, provides instructions to a User-Proxy Agent module, and receives user input. The User-Proxy Agent forms prompts based on current state instructions, user requests, interaction history, and API results to determine appropriate actions. The platform outputs recommendations responsive to the meta request.

The invention discloses a gateway plug-in loading and optimizing method and device, equipment and a medium, and relates to the technical field of gateway plug-in management, and the method comprises the steps: collecting target information of a user request entering a gateway, so as to obtain corresponding collection data; the target information comprises a request source ip, a request path, parameter information, a request frequency, a user agent, a request method and a response state code; identifying the user request based on the collected data by using a pre-trained identification model so as to determine a request type of the user request according to a corresponding identification result; determining a target plug-in matched with the user request based on the request type, and loading the target plug-in to obtain a corresponding execution result; and optimizing a plug-in priority, a plug-in strategy parameter and an execution path of the target plug-in based on the execution result. Therefore, the gateway performance is improved, the maintenance cost is reduced, and the system stability is enhanced.

The invention discloses a public facility reachability evaluation method and system based on geographic multiple agents, and belongs to the field of urban calculation and geographic information. According to the method, a multi-agent system comprising a user agent and a facility agent is firstly constructed, and then a dynamic utility function combined with an evolutionary game theory is introduced to simulate the dynamic decision and congestion avoidance behavior of a user; and user strategies are balanced through multiple rounds of iterative evolution, so that a macroscopic reachability pattern emerging from a microcosmic game is obtained. According to the method, starting from the microscopic individual level, by simulating the dynamic game process of a large number of agents, the defects of a static calculation model are overcome, and dynamic evaluation and predictive simulation of reachability of public facilities are achieved. Compared with the prior art, the evaluation result is more accurate, dynamic feedback of the real world can be reflected, and a scientific decision support tool is provided for urban planning.

Methods and apparatus to credit media presentations for online media distributions are disclosed. Example methods and apparatus determine a presenter of a media session based on a user agent identifier extracted from a proxy record associated with the media session, and in response to determining that the user agent identifier does not identify a publisher, identify a first domain referenced by a URL associated with the media session, and, in response to determining that the first domain matches a domain pattern associated with a publisher and does not match a domain in a list of hosting domains, classify the media of the media session as being published by the publisher associated with the matching domain pattern, the publisher being different from the presenter.

The invention discloses a multi-agent deep reinforcement learning method considering user-power distribution network cooperation under topology reconstruction, and the method comprises the steps: carrying out the modeling of an independent interaction user agent through a multi-agent reinforcement learning MADDPG algorithm, enabling a user to make a decision independently according to the state of the user, enabling the user to interact with a power distribution network, and carrying out the topology reconstruction through the power distribution network. A virtual power flow method is adopted to maintain radial operation of the power distribution network, power and voltage balance of the power distribution network under topology reconstruction is considered, and a new method for interactive operation of independent users and the power distribution network under the extreme disaster condition is provided. According to the method, the current practical situations of frequent occurrence of extreme events with high influence and low probability and improvement of distributed photovoltaic permeability are considered, and through independent scheduling of independent users and reconstruction of the topology of the power distribution network, the power supply reliability and safety of the power distribution network under extreme disasters are guaranteed, and the privacy of the users is protected.

An intermediary server operates an application proxy. An access request is received for access to an application, where an access policy is associated with the application that specifies authentication method(s) acceptable for satisfying an authentication requirement enforced by the application proxy. The user agent is redirected to submit an authentication request to an identity provider for identity verification. An authentication response generated by the identity provider is received and includes information that specifies authentication method(s) used during the identity verification. If the authentication method(s) used during the identity verification match the authentication method(s) acceptable for satisfying the authentication requirement, the user will not be prompted to perform those authentication method(s) and the authentication requirement enforced by the application proxy is met. If they do not match, the user will be prompted to perform the authentication method(s) as a condition to access the application.

The embodiment of the invention provides a data processing method and a multi-agent processing system, and the method comprises the steps: determining a target analysis task, and generating a target user file corresponding to the target analysis task through a user agent; according to the target analysis task, the task data and the target user file, utilizing the management agent to generate a task execution plan corresponding to the target analysis task; generating a verification analysis plan and a verification subtask corresponding to the verification analysis plan according to the task execution plan by using the management agent and the analysis model; and executing the verification subtask corresponding to the verification analysis plan by using the management agent to obtain a task execution result, and generating a task analysis report corresponding to the target analysis task according to the task execution result. Through interaction cooperation among multiple agents, the analysis task can be autonomously planned when the target analysis task is processed, the attribution hypothesis is dynamically generated and verified, and a high-value task analysis report is generated.

Arrangements for cyber threat detection are provided. In some aspects, a request for an enterprise event may be received. The request may be received from a user computing device and may include a user agent string associated with the user computing device. The user agent string may be parsed to identify parameters associated with the request. The request may then be analyzed to determine whether it is unauthorized. Analyzing the request may include comparing the identified parameters to known viable parameters identified from historical hardware and / or software data. Based on the comparing, if the identified parameters match the known viable parameters, the requested event may be processed. If the identified parameters do not match the known viable parameters, the event may be flagged and transmitted to an enterprise organization computing system for further analysis and / or executing of one or more mitigation actions.

This disclosure provides a method, apparatus, device, and storage medium for processing abnormal traffic data, relating to the field of computer technology, and particularly to the field of internet security technology. The specific implementation scheme is as follows: acquiring the User Agent (UA) information of the traffic data; performing anomaly detection on the UA information to obtain the detection result; determining that the UA information is an abnormal UA based on the detection result, and identifying the abnormal traffic data missed by the anti-crawler strategy if the traffic data is identified as normal traffic data based on the anti-crawler strategy. In this disclosure, by detecting abnormal UA information, traffic data with abnormal UA information but judged as normal by the anti-crawler strategy can be filtered out. Therefore, the ability of the anti-crawler strategy to identify abnormal traffic data can be verified based on the abnormal UA, providing important data support for optimizing the anti-crawler strategy.

The present application relates to a kind of artificial intelligence assisted medication service development method and system, the method comprises: creating the agent that produces medication service information;Build the multi-dimensional relationship matrix of the association between agents;One or more agents are instantiated based on electronic medical record to constitute user agent set;Determine one or more agent processing paths based on user agent set;Determine a medication service record based on each processing path;Further decision to obtain medication service auxiliary information.The present application is based on the construction of lightweight agent, by constructing the association between agents, the exponential complexity is reduced to linear complexity, improve the feasibility and medication service efficiency, promote the development of medication service.

Adaptive synchronization of objects in a distributed metaverse is provided. An agent of a user of a global metaverse is detected performing an action on an object within a scene of a local metaverse corresponding to the user. A state change in the object caused by the action performed by the agent of the user in a local context of the local metaverse corresponding to the user is stored. It is determined whether the action performed by the agent on the object is globally observable or an irreversible action. The state change in the object caused by the action performed by the agent of the user in the local context of the local metaverse corresponding to the user is propagated to a plurality of different local metaverses of the global metaverse in response to determining that the action performed by the agent is globally observable or an irreversible action.

A system and method for detecting whether a MAID is valid and permissible for cross-app tracking and targeting (i.e., that it can be used to target messages) or invalid and impermissible for cross-app tracking and targeting (i.e., that it cannot be used to target messages) uses observations and analysis of MAIDs that have been proven useful in determining validity. Specifically, data attributes associated with MAIDs such as user agent, IP address type, cross-app activity, frequency of in-app auth events, recency of operating system, VPN, and whether a MAID was observed with a CTV ID (i.e., an Identifier for Advertising or IFA) are used as indications of validity. When these variables are used together to select MAIDs, then can then be used to match against bid stream data and other sources for validation in conjunction with an identity graph matching proprietary identifiers to MAIDs.

The application discloses a kind of application interface user agent person authentication authorization method and system.The method involves three-party interaction: agent end, authentication end and application end.Agent end is accessed target application, with username access, and needs proxy authorization identification code as access request parameter.Proxy authorization identification code corresponds proxy authorization credential, and proxy authorization credential is saved in authentication end.If agent end lacks proxy authorization identification code, then it requests authorization pre-check to authentication end, if there is valid proxy authorization credential, then it returns proxy authorization identification code to agent end, otherwise initiates user agent authentication.In user agent authentication, authentication end constructs user authorization page, and after user operation authorization, authentication end generates proxy authorization credential and saves it, and sends its proxy authorization identification code to agent end.Application end receives access request from agent end, and judges whether it has access right by authentication end.The application does not depend on user login, and does not affect normal use operation.

The present disclosure provides a method and device for detecting interface attacks, electronic equipment and storage medium, which relates to the technical fields of information flow, network security, artificial intelligence and machine learning. The specific implementation scheme is: obtaining an access request of an interface; obtaining a plurality of access triplets based on the access request; each access triplet includes user agent information, key information of a header, and value information corresponding to the key information; obtaining access feature information of each access triplet; based on the access feature information of each access triplet of the access request and a pre-trained trust score model, detecting whether the access request is an attack. The technology of the present disclosure can effectively improve the efficiency of interface attack detection.

The invention discloses a merchant agent hierarchical pricing and multi-agent e-commerce transaction optimization system and method, and relates to the field of telemarketing. The method is realized through combination of a user agent Agent-U, a market agent Agent-M and a merchant agent Agent-S. The merchant agent Agent-S comprises a user agent Agent-U, a market agent Agent-M and a merchant agent Agent-S. The user portrait analysis module is used for generating a value evaluation coefficient in real time; the third-level price strategy library is used for storing a new customer erosion pricing strategy, a VIP value addition strategy and a conventional competitor benchmarking strategy; and the dynamic adjustment engine responds to market intelligence data pushed by the market. According to the invention, the value evaluation coefficient calculation model is fused with the historical consumption, the service sensitivity and the potential value index to realize the accurate user portrait, and then differential response is implemented by adopting the three-level price strategy library, so that the problems existing in the prior art are solved.

A system and method for identifying risks and actions for mitigating risks associated with a project includes receiving a request to identify risks associated with the project, retrieving data related to the project, and constructing a prompt for transmission to a generative AI tool. Upon transmitting the prompt to the generative AI tool, identified risks for the project and recommended actions for mitigating the identified risks are received. The received risks and actions are provided to a review AI agent for validating the identified risks or the recommended actions. In response to a threshold number of the identified risks or the recommended actions being invalidated, a user agent is utilized to generate a revised request for including in a revised prompt to the generative AI tool and a revised prompt is constructed and transmitted to the generative AI tool. In response a revised output including one or more revised identified risks or one or more revised recommended actions are received and provided for display to a user.

A method of enabling custom cryptography is provided. The method can include sending, by a first computing device and to a second computing device, instructions to initiate a proxy. The proxy can be configured to intercept a message of a user agent. The user agent may be associated with the second computing device. The proxy can be further configured to perform custom cryptography based on the message to obtain a modified message. The custom cryptography may comprise post-quantum cryptography. The proxy can be further configured to send the modified message to at least one of the user agent, a reverse proxy, or a third computing device. The post-quantum custom encryption and / or decryption can comprise Quantum Secure Layer (QSL), Post-Quantum Transport Layer Security (PQTLS), Kyber, SABER, Enhanced McEliece, RLCE, or a National Institute of Standards and Technology (NIST) candidate post-quantum algorithm.

The invention discloses an on-demand disclosure block chain digital identity authentication method and system. The method comprises the steps that a user side sends a registration DID instruction to a DID user agent; the DID user agent generates a DID for the user side; based on the DID, the certificate issuing party generates a verifiable declaration VC for the user side; the user side adopts an encryption algorithm to perform hierarchical encryption on the VC, provides a selective disclosure service of the VC, and stores the encrypted VC and a digital signature on an identity chain; and the user side applies for the service from the verifier, and the verifier decrypts the VC and provides the service for the user side after verification is passed. According to the method, complete identity information and partial attribute information of the user are disclosed as required, and meanwhile, the storage overhead of the verifiable declaration of the user identity on the block chain is reduced.

A method and system for facilitating a secure connection between a server and a client device is disclosed. The method is performed in a server and includes the steps of: receiving a request for a client implementation from an end-user agent of the client device; generating a protocol, an associated protocol description, and a client implementation based on the protocol; encrypting the protocol description and embedding the encrypted protocol description in the client implementation; and transmitting, to the end-user agent, the client implementation and an associated timestamp. In accordance with receiving, from the end-user agent, a request to initiate an encrypted connection to the server, the method includes performing a handshake. In accordance with the conditions of the handshake being met, a connection according to the protocol may be established.

A system artificial intelligence (AI) agent is trained to act on behalf of an online system. The system AI agent comprises a large language model that has been pre-trained using a set of system constraints and a set of system objectives. The system AI agent is trained adversarially using training service requests from a plurality of different user AI agents of different types to determine resolutions to the training service requests. Once trained, the system AI agent may determine resolutions to service requests of users of the online system. In some embodiments, the system agent may determine the resolutions via messaging with user AI agents that represent the users. The online system may further train the system AI agent (and in some embodiments the user AI agents) based in part on the resolutions to the service requests.

An online system configures one or more system AI agent instances that interact with user AI agents and performs one or more tasks on behalf of the online system. Thus, responsive to detecting the presence of a user AI agent representing a particular user, the online system directs the session for the user to communicate and interact with a system AI agent.

An online system is configured to manage messaging between artificial intelligence (Al) agents. A service request (such as a request to order items) is received at an online system from a user client device. A system Al agent and a user Al. agent are instantiated with inputs that include a. set of objectives or constraints that guides each of the system Al agent and the user Al agent during messaging with the other. The online system manages rounds of messaging between the system Al agent and the user Al agent, and at some point, a proposed agreement between the user and online system is extracted from the messaging. The proposed agreement may then be presented to the user or online system for approval.

The application provides a kind of electromagnetic space and geographical space joint navigation optimization method for single mobile user, receives the current state and terminal point information of mobile user agent, current state includes the current position of agent, path obstacle, measured electromagnetic information and walkable path;Current state containing measured electromagnetic information is input to deep neural network, so that the output predicted moving direction tends to move in the direction of sufficient electromagnetic intensity to maintain communication.The application not only considers the navigation of geographical space, but also further considers the joint navigation of electromagnetic and geographical space, so that the mobile user in space can reach the destination faster while ensuring the communication quality.The application combines the characteristics of reinforcement learning during the training of the navigation model based on deep network, compares the real electromagnetic map after the movement of the agent with the predicted map for supervised learning, so that deep reinforcement learning and machine learning are organically combined together.

The present disclosure relates to carrier integration through a user web interface proxy. A method (300) of carrier web integration through a user proxy interface includes receiving a request (130) from a mobile device (110) associated with a subscriber (10) of a carrier provider (301) to establish a voice service with the carrier provider for a companion device (120) linked to the mobile device. The request includes a subscriber identifier (132) of the mobile device. The method further includes authenticating the companion device based on the subscriber identifier, obtaining a session initiation protocol (SIP) credential (140) corresponding to the subscriber identifier, and registering the SIP credential for the companion device at a web interface proxy (200). The web interface proxy is in communication with an internet protocol multimedia subsystem (IMS) (320) of the carrier provider and the companion device. The method further includes establishing the voice service between the companion device and the IMS through the web interface proxy using the SIP credential.

This invention proposes a method for sharing traditional Chinese medicine (TCM) data based on attribute-based encryption and homomorphic encryption. The method includes an attribute authorization agency, TCM data owners, a blockchain, TCM data users, data user agents, and private key sharers. The attribute authorization agency is responsible for generating the homomorphic encryption public and private keys, attribute public and private keys, and verifying data compliance. The data owner encrypts the data using the homomorphic encryption public key and stores it on the blockchain after setting access policies using attribute-based encryption. When a data user initiates an access request, the data user agent verifies the user's access rights. Upon successful verification, a homomorphic operation is performed on the ciphertext. Subsequently, multiple private key sharers, who collaboratively manage fragments of the homomorphic private key, complete partial decryption. Finally, the TCM data user recovers the plaintext result. This method ensures that TCM data is usable but not visible through homomorphic encryption, achieves precise access control through attribute-based encryption, and reduces the risk of private key escrow through secret sharing.

An online system is configured to manage messaging between artificial intelligence (AI) agents. A service request (such as a request to order items) is received at an online system from a user client device. A system AI agent and a user AI agent are instantiated with inputs that include a set of objectives or constraints that guides each of the system AI agent and the user AI agent during messaging with the other. The online system manages rounds of messaging between the system AI agent and the user AI agent, and at some point, a proposed agreement between the user and online system is extracted from the messaging. The proposed agreement may then be presented to the user or online system for approval.

A computer-based system and method for providing a secure access to a webpage, including: obtaining, at an authentication server from a user agent application, a request to open the webpage provided by a web server, together with a username; generating a token by the authentication server; providing, by the authentication server, the token to the user agent application and to the web server; sending, by the user agent application, a request to open the webpage together with the token to the web server; verifying, by the web server, the token obtained from the user agent application against the token obtained from the authentication server; and opening the webpage by the web server upon successful verification.

The invention relates to the technical field of digital information transmission, in particular to a media stream transmission method and device and a storage medium, and the method comprises the steps: obtaining first session description protocol SDP information sent by a request sending end, and judging whether a client media stream needs to pass through a server; if yes, the server serves as a back-to-back user agent; if not, the server inserts a first candidate address and a second candidate address of the server type into the first SDP information and the second SDP information; the request sending end and the request response end carry out ICE connectivity check based on all candidate addresses of the two parties; adding the candidate address pairs which are not forwarded by the server into a first set, and adding the candidate address pairs which are not forwarded by the server into a second set; selecting the candidate address pair with the shortest round-trip delay from the first set to carry out media stream transmission; and when the network transmission quality is lower than a preset level, other candidate address pairs are selected to carry out media stream transmission. According to the method, the media transmission proxy method with the most economical transmission can be intelligently selected.

The present application relates to the field of computer network security, and particularly relates to a black box detection method and system based on a built-in browser vulnerability of a car and a medium, through non-invasive network data acquisition, zero-interference detection of the car machine is realized, the integrity and security of the measured device are ensured. Secondly, the core dual-path identification and intelligent fusion mechanism, through the combination of direct identification of the user agent field and indirect inference of the network request behavior characteristics, and after strict verification and fusion, the inherent defects of the single information source are overcome, and the final output target browser kernel version information has high accuracy and robustness. Furthermore, the method constructs a complete closed loop from accurate identification to empirical verification, by injecting the accurately matched exploit code into the car machine and monitoring its real reaction, the vulnerability detection is improved from theoretical risk prompt to empirical confirmation level, greatly improving the authority and decision value of the detection result.