118 results about "Client agent" patented technology

The invention provides a self-adaptive safety self-healing system based on artificial intelligence, and aims to improve the safety protection capability and the self-repairing capability of an information system. The system comprises a client Agent module, a secure transmission module, a data analysis and anomaly detection module, a self-healing strategy management module, an execution module and a monitoring display module. The client Agent module collects data such as system logs, network flow and resource use, and predicts resource changes through a long short-term memory (LSTM) network model. And the secure transmission module adopts a TLS protocol and a block chain technology to ensure the integrity and security of the data. And the data analysis and anomaly detection module identifies threat behaviors through an Isolation Forest algorithm and a deep learning technology, and automatically generates a security event report. And the self-healing strategy management module generates a self-adaptive repair scheme based on an AI analysis result, and the system realizes efficient anomaly detection and self-healing repair through intelligent analysis and self-adaptive adjustment, and is suitable for dynamic security protection in a complex network environment.

Embodiments of the technology described herein identify and mitigate phishing attempts by analyzing user input using a client-side proxy component and a proxy server. Embodiments disclosed herein provide systems, methods, and computer-storage media for employing proxy server capabilities in conjunction with a snapshot capturing an image or video recording of a target action input by a user into a software application. Certain embodiments disclosed herein employ proxy server capabilities to capture a snapshot and / or screen recording based on a user authorization or approval. For example, the proxy server proactively captures the snapshot or screen recording prior to, during, and after the user performing a target action. From the snapshot, certain embodiments extract snapshot features or determine enriched-contextual event data that is used to perform a mitigation action, generate a security mitigation score, or update an administrator portal activity log for an authorized administrator.

The invention discloses an anti-quantum-attack national secret SSL communication system and method, and belongs to the technical field of information security. The quantum attack resistant national secret SSL communication system of the scheme comprises a traditional SSL client, an anti-quantum SSL client agent and a mixed SSL server. A traditional SSL client does not support an anti-quantum cryptography algorithm, and a mixed SSL server has a traditional cryptography technology and an anti-quantum cryptography technology at the same time. And the anti-quantum SSL client agent performs anti-quantum cryptographic algorithm transformation on a message sent by the traditional SSL client and then sends the message to the mixed SSL server, and performs anti-quantum cryptographic algorithm inverse transformation on a message sent by the mixed SSL server and then sends the message to the traditional SSL client. According to the scheme, the quantum attack resistance of the system is improved in a manner of incrementally deploying the anti-quantum SSL client agent at the SSL client, the transformation period is short, and the transformation cost is low.

The present disclosure relates to implementing, updating, and managing operation of a client agent on a client device (e.g., computing device, virtual device) in a way that enables isolation of features and functionality while also allowing the client agent to self-heal and intelligently update discrete features thereon. The client agent includes a collection of plugins that are isolated and run in accordance with respective plugin policies. The client agent makes use of device-level, agent-level, and plugin-level health monitors that collectively monitor a health status of discrete components of the client agent in a way that enables the client agent to selectively discontinue scheduling certain plugins without interrupting functionality of other plugins or of the client agent as a whole. Indeed, features described herein enable the client agent to intelligently update and self-heal with respect to individual plugins based on information obtained by the respective health monitors.

Techniques for web bot detection using behavioral analysis and machine learning are disclosed. In an example method, a processing device receives an indication of a network interaction by a client agent, from which behaviors of the client agent can be determined. A heuristics module may classify the client agent as in an unknown class based on the behaviors of the client agent. A trained adversarial neural network may also classify the client agent as in the unknown class. The processing device then generates a graph representation of the network interaction. A trained graph convolutional neural network may classify the client agent as in a bot class using the graph representation. Based on the classification of the client agent as a bot, the processing device executes a command to cause a bot countermeasure and generates a notification including information about the behaviors of the client agent.

The invention discloses an encrypted communication method and system for a trusted execution environment, and the method comprises the steps: a client agent receives a connection request, and builds a connection with a server agent when receiving the connection request; the client agent and the server agent negotiate a session key; and the client agent adopts the session key to perform encrypted communication with the server agent so as to realize automatic encrypted transmission of out-of-domain data of the trusted execution environment. According to the method, the server agent is arranged inside the trusted execution environment, the client agent is arranged outside the trusted execution environment, session key negotiation is performed through the server agent and the client agent, and encrypted communication is performed by adopting the session key obtained through negotiation. In this way, automatic encryption transmission of the out-of-domain data of the trusted execution environment is achieved, and security vulnerabilities caused by stealing or tampering of the out-of-domain data are avoided.

A data processing system implements obtaining an image of a user interface of an application and a textual representation of a structure of the user interface from a client-side proxy on a client device; analyzing the image of the user interface using a vision language model to obtain one or more task recommendations; analyzing the textual representation of the structure of the user interface and the one or more task recommendations using a completion language model to generate one or more workflows, each workflow being associated with a task recommendation of the one or more task recommendations and comprising one or more actions and executable code to perform the one or more actions in the application; providing the one or more workflows to the client-side proxy; causing the client-side proxy to present a representation of each task recommendation of the one or more task recommendations on the user interface;

The invention relates to a network access control system, a network access control method and related equipment. In the system, a client agent module is used for acquiring process identification information and establishing a binding relationship between a process and a network message; the traffic acquisition and analysis module is used for acquiring network messages at a gateway side, analyzing and aggregating the network messages and generating a structured traffic record; the process association verification module is used for verifying the validity of the binding relationship and establishing and maintaining the association relationship between the process and the structured traffic record; the traffic aggregation and strategy generation module is used for executing traffic aggregation and network behavior analysis based on the structured traffic record and the association relationship, and dynamically generating an access control strategy based on a network behavior analysis result; and the dynamic access control execution module is used for controlling the network access request based on the access control strategy and generating an execution result containing the control result. The system realizes self-adaptive generation of process-level control and access control strategies.

A digital object architecture infrastructure includes a handle system that stores handle data and a proxy server that caches handle data for rapid access. A client connects to the proxy server to request access to the handle data. When the handle data does not have access restrictions and is currently cached, the proxy server returns the handle data to the client without accessing the handle system. When the handle data does not have access restrictions and is not cached, the proxy server obtains the handle data from the handle system, caches a copy of the handle data for future access, and provides the handle data to the client. The proxy server may cache encrypted handle data that is subject to access restrictions, cannot be decrypted by proxy server, and can be provided to a client determined to be allowed access. The client can then decrypt the encrypted handle data.

Systems and methods are provided for streamlined communications between clients and client agents during a transaction (e.g., in real estate or other industries) and / or other information from engagement platforms and other applications. A core system architecture is provided that comprises a system application server, a system session server, a user profile database, and a messaging application server, that use modular user interfaces, intelligent message delivery, enhanced client interaction, responsive messaging based on transaction progression, and agent-initiated updates to facilitate such communications, and which can be used by human and / or artificial intelligence agents to enhance the particular application.

Disclosed is system for fulfilling service request using computing nodes. The system comprises a decentralized computing network, comprising computing nodes operating as autonomous agents, configured to implement software framework comprising: client-agent device 5 configured to: receive service request and generate objective therefor, and send objective to agent-device configured to send queries to a machine learning model agent and / or obtain tasks, and list of autonomous agents associated with objective; and processing arrangement configured to: generate directed acyclic graph (DAG) having 10 nodes representing first task and edges representing dependency of first task on second task(s) amongst tasks, and initialize Bloom filter of each node to track completion status of second task(s). Autonomous agent is configured to: identify second task(s), check completion status of second task(s), using Bloom filter of first task, upon completion of second 15 task(s), execute first task, and update Bloom filter.

An access control method, performed by a client proxy apparatus running on a terminal device, includes intercepting a first negotiation packet. The first negotiation packet is from a first application client on the terminal device and is used to perform negotiation to establish a first session. The first session is between the first application client and a first server. The first session meets an encryption strength requirement. The method also includes adding authentication information corresponding to the first application client to a transport layer packet header of the first negotiation packet to obtain a modified first negotiation packet. The method further includes sending the modified first negotiation packet to a gateway device.

Systems and techniques are provided herein to an agentless Information Technology (IT) asset management system that automatically identifies and executes remedial actions independent of a client-side agent installed on the client system. In particular, artificial intelligence is used to trigger agentless actions via one or more application programming interfaces (APIs). The APIs trigger services that interface directly with operating system supported functionalities to manage IT assets.

A method for multicast discovery requests to an isolated network includes establishing a socket tunnel between a client proxy running on a computing device in a first subnet and a server proxy running on a server on a second subnet and receiving a discovery request from the server proxy. The discovery request is directed to first subnet computing devices on the first subnet and / or services provided by the first subnet computing devices and the discovery request is transmitted over the socket tunnel. The method includes transmitting a discovery reply to the server proxy. The discovery reply includes discovery information responsive to the discovery request received from the server proxy where the discovery information is regarding the first subnet computing devices.

The application discloses a JSON data processing system implementation method based on FastAPI, which comprises the following steps: establishing a working directory based on FastAPI, creating a request processor in the working directory, and receiving original JSON data through the request processor; constructing a database object model in the working directory, generating a database table, and storing the original JSON data into the database table; constructing a business verification model in the working directory, preprocessing the original JSON data through the business verification model, and converting the processed JSON data into a Python object; creating a business processing tool in the working directory, processing the business logic of the Python object through the business processing tool, converting the processed Python object into a JSON data format; and creating a request agent and a middleware client agent of an external system in the working directory, and interacting the converted JSON data with the external system and the middleware. The application realizes an asynchronous processing kernel, supports high-concurrency tasks, improves the execution efficiency, and reduces the response time.

Novel tools and techniques are provided for implementing name-based routing through networks. In various embodiments, a broker manager in each of a plurality of networks may receive a subscription request for a network device from a client device, each device being locally accessible or disposed in an upstream or downstream network. The broker manager uses its client broker to communicate with a locally accessible client device, and uses its mediator broker (and, sometimes, an intermediate device(s)) to communicate with a locally accessible network device. The broker manager otherwise uses its messaging brokers to communicate with control channels of one or more networks. Once subscription with the network device has been established, any commands and responses between the client device and the network device may be routed over pub / sub channels via the broker managers and their brokers using name-based routing, without routing based on IP address of the network device.

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

Methods, systems, and computer-readable media for transferring hosted web browser sessions between browser servers are described herein. In various embodiments, a broker service may create a browser server pool from a plurality of browser servers. The broker service may connect a client agent with a first web browser session in a first browser server in the browser server pool. The broker service, responsive to a determination that the first web browser session needs to be transferred to a second browser server in the browser server pool, may request and receive a session context from the first web browser session, launch a second web browser session in the second browser server, initialize the second web browser session with the session context from the first web browser session, transfer the client agent from the first web browser session to the second web browser session, and terminate the first web browser session.

The invention relates to an artificial intelligence technology, and discloses a clustering-based personalized federal learning image classification method and system, and the method comprises the steps: a client generates local model parameters, and uploads the local model parameters to a server; the server receives the local model parameters and performs complete clustering, and when the client updates the local model parameters, the server executes incremental clustering operation to obtain a final clustering parameter cluster; calculating a semi-global model parameter of each parameter cluster and calculating a client score to select a proxy client, and sending the semi-global model parameter and the global model parameter to the proxy client by the server; and the proxy client carries out local adaptive aggregation operation, and after aggregation is completed, a personalized image classification model is obtained. The invention further provides a device and a system of the clustering-based personalized federal learning image classification method. According to the method, the problem of non-independent identical distribution in the medical image data of each client can be solved, and the personalized expression of the local model in each client is enhanced.

Method for selecting source data for generating a response. The invention relates to a method for selecting at least one source data item made available by a data provider (Fourn), said source data being suitable for generating a response to a request from a client agent (Agt) associated with a large language model (LLM). The method comprises: - receiving (E30) from the client agent (Agt) a request and a certificate associated with a statement from the client agent regarding the request, - calculating (E40) a vector representing the received request and statement, - selecting (E40) the at least one source data item by comparing a vector representing the source data, used for generating a response to the request and also representing a constraint on the use of the source data, with the calculated vector. Abstract figure: Figure 1

The invention provides a deep reinforcement learning job shop scheduling method based on customer agent multi-bidding, which solves the problem that a multi-agent job shop cannot be scheduled in the prior art, and comprises the following steps: modeling a multi-agent job shop scheduling problem; obtaining a client agent intelligent agent corresponding to the client agent and a job shop agent intelligent agent corresponding to the job shop, and obtaining a scheduling state of the job shop; obtaining feature representation of each process node, and outputting a process set participating in bidding in each round of bidding; obtaining the feature representation of each process node, and outputting a calibration decision sequence; and collecting a bidding process set of all client agents by the job shop agent to perform a calibration decision, and continuously repeating a bidding process until a final scheduling scheme is generated. According to the method, on the premise that the private preferences of all client agents can be well protected, a plurality of agents with personalized targets jointly participate in scheduling decision making, so that a scheduling scheme which can be accepted by all parties is formed.

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

Novel tools and techniques are provided for implementing name-based routing through networks. In various embodiments, a broker manager in each of a plurality of networks may receive a subscription request for a network device from a client device, each device being locally accessible or disposed in an upstream or downstream network. The broker manager uses its client broker to communicate with a locally accessible client device, and uses its mediator broker (and, sometimes, an intermediate device(s)) to communicate with a locally accessible network device. The broker manager otherwise uses its messaging brokers to communicate with control channels of one or more networks. Once subscription with the network device has been established, any commands and responses between the client device and the network device may be routed over pub / sub channels via the broker managers and their brokers using name-based routing, without routing based on IP address of the network device.

The invention provides an NFS virtual machine mounting system and method based on a storage stacking framework. According to the invention, through the storage stacking architecture and the intelligent routing mechanism, the direct mounting recovery of the chained backup set is realized. The virtual disk synthesis module maps a logic address to a physical file in real time by using a reverse query algorithm to generate a continuous disk view; the read-write layer independently stores description files and snapshots, and guarantees original backup safety and data persistence during operation; route control is based on file type shunting operation, and read-write isolation is ensured. And finally, on the premise of not needing pre-merging and having no client agent, the recovery time is remarkably shortened, the storage redundancy is reduced, and the cross-platform compatibility is improved.

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

A method for multicast discovery requests to an isolated network includes establishing a socket tunnel between a client proxy running on a computing device in a first subnet and a server proxy running on a server on a second subnet and receiving a discovery request from the server proxy. The discovery request is directed to first subnet computing devices on the first subnet and / or services provided by the first subnet computing devices and the discovery request is transmitted over the socket tunnel. The method includes transmitting a discovery reply to the server proxy. The discovery reply includes discovery information responsive to the discovery request received from the server proxy where the discovery information is regarding the first subnet computing devices.

The invention relates to a method for selecting at least one source datum, the source datum being suitable for generating a response to a request from a client agent (Agt) associated with a large language model (LLM), the method comprising: - receiving (E30), from the client agent (Agt), a request and a certificate associated with a declaration of the client agent relating to the request; - calculating (E40) a vector representative of the received request and declaration; - selecting (E40) the at least one source datum by means of a comparison between a vector representative of the source datum used for formulating a response to the request and furthermore representative of a usage constraint for the source datum, and the calculated vector.

The application relates to an Internet of Things data transmission system and method based on quantum encryption communication and belongs to the technical field of network and information security. The application comprises a client transparent agent module, a server front transparent gateway module and a quantum key service platform; the client agent realizes system-level application flow interception, uses a SIM card security element as a hardware trusted root, obtains plaintext by combining a dynamic man-in-the-middle technology, matches quantum encryption, applies for quantum session key encryption to the quantum key service platform, the server front transparent gateway module is based on the quantum key service platform to apply for quantum session key decryption and forwarding, and quantum session key distribution is realized through main and called key negotiation. The application can realize quantum session key automatic encryption and decryption of specified API interface data without modifying existing mobile application and service code, and has the advantages of zero invasion, high security, low time delay, easy operation and maintenance, low cost and the like.

Methods and systems for protecting a quantum state of a client quantum system of a broker-client system are disclosed. The client-broker system comprises the client quantum system and a broker quantum system coupled by a hyperfine interaction. The method comprises suppressing the hyperfine interaction by applying an electromagnetic dressing field to the client-broker system in the presence of a first magnetic field. The electromagnetic dressing field comprises a second magnetic field that oscillates in a direction perpendicular to the first magnetic field. While the hyperfine interaction is suppressed, a quantum state of the broker quantum system may be altered by steps including optically exciting the broker quantum system. The method may be applied to reduce decoherence of the quantum state of the client quantum system while resetting a quantum state of the broker quantum system.

Method and Device for Generating a Response to a Request The invention relates to a method for generating a response to a request transmitted by a client agent (Agt) associated with a large language model (LLM), the method comprising: - receiving a request from the client agent (Agt), and further comprising a certificate associated with a statement relating to the request, said request further comprising an identifier of a vector representing source data and further representing a statement of the client agent relating to the request, - obtaining from at least one data provider (Fourn) the source data associated with the received vector identifier, - transmitting to the client agent (Agt) a response to the request, said response being generated using said source data, and further comprising a certificate associated with the source data. Abstract Figure: Figure 3