211 results about "Message flow" patented technology

The invention relates to the technical field of data processing, in particular to a regulation and control management method and system based on a Kafka message queue. According to the method, a time feature vector is constructed based on historical message traffic and event tags, and a node load coefficient is predicted through a graph neural network in combination with a Kafka Broker network topology; performing queue scheduling according to the message priority and the node load coefficient, and optimizing a message processing sequence; performing decoupling management on calculation, storage and network resources according to the resource use indexes, and judging whether capacity expansion and shrinkage, copy migration or current limiting adjustment is triggered or not; a lightweight Kafka instance is deployed at an edge node, hierarchical storage of the edge and the center is realized in combination with data activeness, and data synchronization is asynchronously completed; and constructing a recovery strategy model through reinforcement learning, and realizing automatic identification and regulation response of node abnormity.

The invention relates to the technical field of network security, in particular to a network security situation awareness method based on artificial intelligence, which comprises the following steps: deploying probes on a plurality of key link nodes of a network, and acquiring a specific type of network basic maintenance message flowing through the node; based on the obtained message, microcosmic time sequence characteristics of the message are extracted, and a first time sequence signal is formed; comparing the first time sequence signal with a pre-stored node reference time sequence signal, executing collaborative deviation calculation, and generating a collaborative deviation coefficient; and based on the collaborative deviation coefficient, determining a local vibration intensity value of the node, converging local vibration intensity values of a plurality of nodes in the network, and executing spatial correlation fusion calculation. According to the method, anomaly detection is realized by analyzing the time sequence coordination rule of the network basic maintenance message, any abnormal condition damaging a normal coordination mode can be captured, and the recognition rate of unknown threats is improved.

A message management platform may receive, from an application operator, a configuration of a message flow. The message flow includes one or more messages associated with trigger conditions. The platform may receive, from a code snippet incorporated in an application of a user computing device, a notification that the user computing device has used the application. The platform may associate a user identifier with the user computing device. The platform may subscribe to, on behalf of the application operator, one or more API notification channels of the application builder platform. The platform may receive an API notification from the application builder platform. The platform may determine that the application builder platform's user is associated with the user identifier used by the message management platform. The platform may determine that the event described in the payload matches the trigger condition and transmit the first message to the user computing device.

The invention provides a service message processing method, electronic equipment, a storage medium and a program product. Service messages sent by the bottom cloud pool and message flow values are obtained, the service messages are classified, and the classified service messages and corresponding service type identifiers are obtained; determining a target business service module and a target message queue according to the business type identifier, and determining business priorities corresponding to the classified business messages; and determining a target node number of the service nodes in the target business service module according to the message traffic value and the business priority. Sending the classified service messages to a target message queue; sending the classified business messages to a target business service module through the target message queue; calling a service node through a target business service module, processing the classified business message, and generating a message processing result; sending the message processing result to the target service application; the problem that the processing efficiency is low when the service message is processed is solved.

CAN bus signal format inference includes: extracting candidate signals from training CAN bus message traffic; defining one or more signals, each signal being a candidate signal that matches structural characteristics of a matching data type and each signal being assigned the matching data type; and generating an inferred CAN bus protocol with which the defined one or more signals conform. Signals are extracted from CAN bus message traffic using the inferred CAN bus protocol, an anomaly in an extracted signal is detected, and an alert is generated indicating the detected anomaly. In another aspect, a transport protocol (TP) signal is extracted and analyzed to determine a fraction of the TP signal that matches opcodes of a machine language instruction set, and an anomaly is detected based at least in part on the determined fraction exceeding an opcode anomaly threshold.

The present invention relates to the field of data processing technology, specifically to a control and management method and system based on Kafka message queues. The invention constructs a time feature vector based on historical message traffic and event tags, combines the Kafka Broker network topology, and predicts the node load factor through a graph neural network; performs queue scheduling based on message priority and node load factor to optimize the message processing order; decouples computing, storage, and network resources based on resource usage indicators to determine whether to trigger expansion and contraction, replica migration, or current limiting adjustments; deploys lightweight Kafka instances at edge nodes, implements layered storage at the edge and center based on data activity, and asynchronously completes data synchronization; and constructs a recovery strategy model through reinforcement learning to achieve automatic identification and control responses for node anomalies.

A method and system for initiating message listening and routing message content to authorized user devices is disclosed. For a second user device to receive notifications regarding records of a first user, the second user device provides information identifying the first user to a notification service. The notification service verifies the identifying information. The notification service initiates one or more listeners to listen for messages flowing over a messaging bus that are relating to the first user. Once a message is identified, at least a portion of the message is used to generate a notification that may be sent to the second user device.

The invention discloses a message subscribing and pushing process and system based on a WeChat applet, and the system comprises a user subscribing module which is used for selecting an interested message type in the WeChat applet and subscribing; the message pushing module is used for pushing the newly published message to the user; the message management module is used for managing own subscription messages; the message reminding module is used for judging that the user is in a sleep state and closing sound reminding accordingly; through the mechanism, the user can receive information in a customized manner, so that the user experience and satisfaction are improved; the system can timely and accurately push the newly published message to the user according to the subscription condition of the user and the authority verification of the WeChat API, so that the timeliness and accuracy of the information are ensured; and a message management module is provided, so that the user can conveniently manage own subscription messages, including operations such as checking, editing and deleting, and the control capability of the user on personal information is enhanced.

A technique to stop lateral movement of ransomware between endpoints in a VLAN is disclosed. A security appliance is set as the default gateway for intra-LAN communication by overwriting the DHCP responses. Message traffic from compromised endpoints is detected. Attributes of ransomware may be detected in the message traffic, as well as attempts to circumvent the security appliance. Compromised devices may be quarantined by assigning them the default gateway to a preset blackhole IP address.

The invention discloses a multi-dimensional dynamic trust evaluation method and system for a new energy power terminal, and the method comprises the steps: extracting the universal features of the terminal based on terminal log interaction data, extracting special knowledge evidence according to an equipment level perception layer and a network layer, and converting all features into 0-1 standardized values; when a terminal accesses for the first time, the static attribute of the terminal is complementarily collected, so that an initial trust baseline is established and an initial trust value is given; firstly, an IoT device interaction diagram is constructed, nodes are terminal devices, attributes are knowledge evidence vectors, edges are device direct interaction relations, and weights of the edges are defined by historical interaction quality; fusing the equipment knowledge evidence and the interaction relationship through a node2vec algorithm to generate a low-dimensional embedded vector; and finally, calculating the cosine similarity of the device vectors, multiplying the cosine similarity by the interaction frequency proportion to obtain the direct trust degree of the 0-1 interval, and quantifying the direct trust relationship between the devices. Performing trust evaluation on the message flow dimension; and historical interaction behavior trust evaluation and timeliness optimization.

Apparatuses, methods, and systems for generating a sequential flow of electronic actions for a user are disclosed. One method includes sensing a flow trigger action, scraping characteristics of an electronic presence of the user, characterizing user identifying information using an LLM (large language model) and the characteristics, determining a selection of actions and conditional splits (branches) to form a sequential flow of electronic messages for sub-users of the user, generating one or more electronic messages based on the identifying information and the determined sequential flow of electronic messages, displaying the one or more electronic messages to the user, sensing actions of the user based on the displaying of the one or more electronic messages, finalizing the electronic messages based on the sensed actions of the user, and electronically sending the one or more finalized electronic messages to sub-users of the user.

Disclosed is a method and a system that presents a framework for efficient agent communication, focusing on dialogues represented as directed graphs (DGs) to govern message flows. Each dialogue, embodying potential messages and replies, is managed at a session level, allowing multiple concurrent sessions between agent pairs. Invalid message transitions within sessions are gracefully handled with error messages. Initially offering fixed communication patterns, developers fill these patterns with concrete model definitions, customizing communication flows. Explicit decorators link message transitions to models, providing clear guidance. Sessions are asynchronous, supporting resumption post-interruption and enforced timeouts for completion. A dedicated storage system retains session information for context resumption and developer-specific data. The method ensures concurrency, maintaining valid global states amidst limited resource management by the autonomous agents. Interoperability hinges on concrete pattern instantiation, facilitating distinct domain-specific communication. The framework fosters structured, resilient, and customizable agent interactions, advancing efficient AI-driven communication paradigms.

CAN bus signal format inference includes: extracting candidate signals from training CAN bus message traffic; defining one or more signals, each signal being a candidate signal that matches structural characteristics of a matching data type and each signal being assigned the matching data type; and generating an inferred CAN bus protocol with which the defined one or more signals conform. Signals are extracted from CAN bus message traffic using the inferred CAN bus protocol, an anomaly in an extracted signal is detected, and an alert is generated indicating the detected anomaly. In another aspect, a transport protocol (TP) signal is extracted and analyzed to determine a fraction of the TP signal that matches opcodes of a machine language instruction set, and an anomaly is detected based at least in part on the determined fraction exceeding an opcode anomaly threshold.

A user equipment (UE) can be a mobile terminating (MT) device that may receive data from another UE or other network element via a telecommunication network. When a small data payload is available for an MT UE, a base station of the telecommunication network can send a paging message to the UE that includes a Mobile Terminating Small Data Transmission (MT-SDT) paging cause. Based on the MT-SDT paging cause in the paging message, the UE can use Small Data Transmission (SDT) procedures to respond to the paging message. The SDT procedures can allow the UE to obtain the small data payload while the UE remains in a Radio Resource Control (RRC) Inactive state.

The invention provides a weak user data resource allocation method based on maximum and minimum fairness, and relates to the technical field of wireless communication. The method comprises the following steps: dividing user data into multiple types of sub-messages, merging and coding each type of sub-messages to obtain each type of sub-message signal flow, and forming a complete signal flow set; and setting a pre-coding vector and constructing a pre-coding matrix to generate a transmitting signal, and constructing a receiving signal of a user based on the transmitting signal. Then, on the basis of received signals of the users, the signal-to-interference ratio plus noise ratio and instantaneous rate of each sub-message flow are calculated, the user rate is distributed, and the total achievable rate of the user K is determined; taking maximization of the minimum total achievable rate of the user as a target, considering the corresponding instantaneous rate allocation constraint, the total power constraint of the transmitted signal and the rate allocation constraint of the user K, and constructing a maximum and minimum fairness data resource allocation model; and finally solving the model to realize optimal resource allocation. According to the data resource allocation method, the limitation of weak users on the public flow capacity can be broken through, and the utilization rate of data resources is improved.

The invention relates to the technical field of computers, and discloses a bus signal simulation method for a universal emission control system. The method comprises the following steps: acquiring equipment node topology, a protocol type and historical load data; constructing a bus network abstract model; extracting a message flow time sequence template; generating a concurrent message scheduling sequence conforming to the arbitration logic; fusing to form a high-fidelity signal substrate; superposing physical layer interference signals based on measured data; and the data is injected into a tested system through a hardware-in-the-loop interface. The system comprises a bus topology analysis module, a network modeling module, a time sequence template extraction module, a scheduling generation module, a signal fusion module, an interference injection module and a hardware output module. According to the method, through logic and physical layer combined modeling, the test authenticity, the coverage rate and the platform universality are remarkably improved.

The invention belongs to the field of homomorphic encryption, relates to a data analysis technology, and is used for solving the problem that an optimal encryption algorithm cannot be matched according to a data type in the prior art, in particular to a homomorphic encryption method and system for realizing real-time message flow protection. Comprising a hierarchical processing module, an encryption transmission module, a basic processing module, an efficiency optimization module, a basic output module, a high-order processing module, a noise suppression module and a high-order output module. The hierarchical processing module is used for performing hierarchical processing on the encrypted data packet: extracting numeric data in the encrypted data packet and marking the numeric data as basic data, and extracting multimedia data in the encrypted data packet and marking the multimedia data as high-order data; according to the method, the basic data and the high-order data in the encrypted data packet can be extracted and marked according to the data type and the complexity of the encryption processing algorithm, so that a basic layer uses lightweight addition homomorphic processing high-frequency simple operation and a high-order layer uses fully homomorphic supporting complex logic.

A computer-implemented method, system and computer program product for safely processing integrated flows of messages in a multi-tenant container. Each step in the flows of messages to be processed by the applications in the multi-tenant container is monitored. If the monitored step is determined to run custom logic in a general-purpose programming language, then the flow of messages running such custom logic is suspended from being processed by the application in the container if there are other flows of messages being processed by other applications in the container. Furthermore, new flows of messages are prevented from being processed by the applications in the container. After processing the other flows of messages by the other applications in the container, the suspended flow of messages is now processed by the application in the container. In this manner, the risk of interference with other flows of messages in the container is avoided.

The invention provides a message flow control method, system and device and a readable storage medium. The method comprises the following steps: carrying out fragmentation processing on an input message according to a preset fragmentation size, and generating a plurality of message fragments cached in a fragmentation FIFO (First In First Out); performing length accumulation on each message fragment, wherein an accumulated value is associated with an actual length of the message fragment and a message length variation caused by encryption and decryption or message editing processing; and when the accumulated value reaches a preset boundary value, resetting the accumulated value and enabling the flow control value to execute self-adding operation. Compared with the prior art, the method has the advantages that the flow control design universality is high, the method can adapt to message length changes in scenes such as encryption, decryption or message editing, and accurate and synchronous flow control value operation is ensured; secondly, the depth of the recombined FIFO is only related to the delay of the main path and does not change along with the increase of the number of ports, so that the chip area and the power consumption are reduced; in addition, the flow control is triggered by the accumulated length boundary, and the resource efficiency and the system reliability are improved.

The embodiment of the invention discloses a message processing method and device, a terminal, a medium and a program product. The method comprises the steps that a document interface of a document is displayed; displaying the social session message flow in a document interface; and in response to a session positioning operation on the social session message flow in the document interface, displaying a session interface of the social session. By adopting the embodiment of the invention, the jump flexibility between the document and the social session can be improved.

A queue application programming interface (QAPI) in a first data center receives incident messages, each with an incident identifier. The first data center is in communication with additional data centers. The messages are either ordered or unordered. Ordered messages must be processed in the order received, while unordered messages do not. The QAPI transmits the messages to a message stream data structure. A first worker sub-system retrieves unordered messages from the message stream for processing. In parallel, the QAPI transmits the messages to a group stream data structure which arranges the messages into groups. A second worker sub-system retrieves groups of ordered messages for processing. At least one of the first or second worker sub-systems is associated with the additional data centers.

The application provides a kind of semi-supervised in-vehicle CAN bus anomaly detection method and device based on dynamic graph, and relates to the technical field of anomaly detection.The method comprises: constructing an undirected time dynamic graph according to the message flow sequence and message content of the CAN bus; converting the time stamp into a time embedding vector through a time encoder, learning the low-dimensional representation of nodes and edges through a graph embedding module to obtain node embedding; predicting the anomaly score of each node according to the anomaly detection network, calculating the statistical distribution of normal nodes; further calculating the reference distribution, deviation score and deviation loss; generating a pseudo label for each node according to the deviation score, and then obtaining a trained anomaly detection model.The application proposes a semi-supervised intrusion detection method based on dynamic graph in combination with semi-supervised and graph neural network theory for network attacks received by in-vehicle CAN bus.

The invention provides an asynchronous tracking method for a vehicle remote control link, and belongs to the technical field of Internet of Vehicles, and the method comprises the steps: a cloud service platform side defines a plurality of key tracking nodes, and the key tracking nodes cover the life cycle stages of issuing, transmitting, responding and exception handling of a remote control instruction; standardized node tracking data is generated at each key tracking node, and the node tracking data at least comprises a vehicle identification code used for uniquely identifying a vehicle and a message serial number used for associating a single operation full link; releasing the node tracking data to a specified theme of a message queue system in an asynchronous calling mode to ensure that the processing of the remote control main service is not blocked by log recording operation; and monitoring the message queue theme through an independent log consumption service, and persisting the obtained node tracking data to a non-relational database to form a complete link tracking record for fault diagnosis.

This application relates to a logical Java Card runtime environment. Techniques are disclosed for generating a message stream configured to indicate the source of various messages within the message stream. In particular, an indicator identifies at which interface of a terminal (e.g., of a mobile handset) a message was received. The terminal receives messages on various interfaces and separates messages received via different interfaces within the message stream with interface switch indicators. In one embodiment, a smart card receives a message stream that includes a set of messages and interface switch indicators therein. The smart card delivers messages from the message stream to a single logical partition of the smart card until an interface switch indicator is identified in the message stream. From that point on, the smart card delivers messages from the message stream to a different logical partition of the smart card until another interface switch indicator is identified in the message stream.

Systems and methods are provided that support concurrent voice commands from different users. A speech recognition system includes a first input interface to receive a first audio input, a second input interface to receive a second audio input, an output interface, a first recognition module coupled to the first input interface and the output interface to determine a first textual representation of the first audio input and transmit a first message stream comprising the first textual representation and a first identifier associated with the first audio input via the output interface, and a second recognition module coupled to the second input interface and the output interface to determine a second textual representation of the second audio input and transmit a second message stream comprising the second textual representation and a different identifier associated with the second audio input via the output interface.

A system for processing distributed transactions is provided. The system includes a sequencer that communicates an atomic message stream to multiple different service instances. The service instances each process the messages from the message stream into a local queue. Each service instance also executes a state machine by reading messages from a queue and transitioning between states in the state machine while also performing one or more operations in connection with performing a distributed transaction.

The invention discloses a data management method, a data management device, electronic equipment and a computer program product. The method comprises the steps that a video stream and a CAN message stream are received, the video stream comprises a plurality of video frames, and the CAN message stream comprises a plurality of CAN messages; in the process of receiving the CAN message flow, grouping the CAN message flow based on a preset arrangement mode to obtain a plurality of message groups, each message group comprising a time reference value, at least two CAN messages and a time offset value corresponding to each CAN message; determining the video frame and the message group which are matched with each other; recombining the video frame and the message group which are matched with each other to obtain a recombined data frame; and storing the recombined data frame. According to the scheme, the data storage space can be saved, and meanwhile efficient data application can be achieved.

This invention discloses a multi-source data intelligent connection management method, belonging to the field of data processing and information fusion technology. The method includes: deploying an intelligent agent program to listen to window message streams and reconstruct operation paths; synchronously capturing and parsing network requests to obtain structured business data; establishing a mapping relationship between operations and data through multimodal fusion parsing; filtering target data based on a no-code rule base; standardizing formats using a conversion engine; generating RPA instructions with the assistance of a large model; embedding a digital credential mechanism throughout the entire chain to ensure data integrity; and dynamically enhancing business logic through extension point injection. This invention aims to solve the problems of difficult data collaboration, high adaptation costs, and insufficient security caused by the lack of standard interfaces in heterogeneous business systems. It achieves high-precision, low-latency, and auditable automatic data collection, conversion, and entry across closed systems, significantly shortening the supplier access cycle and improving the efficiency of supply chain four-flow collaboration and system scalability.

A system for automatically tracking elements associated with a software application and for generating customizable graphs that capture the dependencies and message flows among the elements is provided. For a software application deployed in a cloud environment, configuration files used to deploy the elements of the software application are processed to extract information such as the name of each element and the names of messages used or produced by each element. This extracted data is combined with implicit data about the cloud environment such as data about elements used in the environment but that are not deployed using configuration files. Graph data is generated from the combined data that includes an object for each element and edges that represent message flows or dependencies between the elements. The graph data is used to render and display a graph of the software application.

The embodiment of the invention provides a heterogeneous cloud pool task processing method and device, equipment, a medium and a program product, and the method comprises the steps: obtaining a combined message flow which is a message queue containing a plurality of cloud pool architectures; distributing the message queues of various cloud pool architectures in the combined message flow to corresponding target message queues according to the architecture identifier, and generating a distribution result; loading metadata of each target message queue according to a distribution result, and generating a message task flow; and the message queue is issued to the plurality of cloud pools according to the message task flow, so that the system delay fluctuation is reduced.