326 results about "Session state" patented technology

Network infrastructure for user-specific generative intelligence. Providing user-specific context to a generically trained LLM introduces a variety of complications (privacy, resource utilization, training costs, etc.). Various aspects of the present disclosure provide novel user-specific data structures, privacy and access control, layers of data, and session management, within a network infrastructure for generative intelligence. For example, user-specific embedding vectors may be used to provide user context to a generically trained foundation model. In some variants, edge devices capture multiple modalities of user context (images, audio; not just text). Privacy and access control mechanisms also allow a user to control information that is captured and sent to the foundation model. Session management further decouples a user's conversational state from the foundation model's session state. These concepts and others may be used to emulate e.g., a chatbot based virtual assistant that responds based on user context.

Network infrastructure for user-specific generative intelligence. Providing user-specific context to a generically trained LLM introduces a variety of complications (privacy, resource utilization, training costs, etc.). Various aspects of the present disclosure provide novel user-specific data structures, privacy and access control, layers of data, and session management, within a network infrastructure for generative intelligence. For example, user-specific embedding vectors may be used to provide user context to a generically trained foundation model. In some variants, edge devices capture multiple modalities of user context (images, audio; not just text). Privacy and access control mechanisms also allow a user to control information that is captured and sent to the foundation model. Session management further decouples a user's conversational state from the foundation model's session state. These concepts and others may be used to emulate e.g., a chatbot based virtual assistant that responds based on user context.

The invention provides a service data security protection method and system for digital enterprise management, and the method comprises the steps: obtaining an access request sequence initiated by a target user at a service operation terminal, generating a dynamic access control strategy vector according to a historical behavior track associated with an access operation identifier, and carrying out the dynamic access control strategy vector; analyzing the dynamic access control strategy vector through a strategy decoder, and generating a real-time access permission instruction; based on the real-time access permission instruction, performing homomorphic encryption mapping on a sensitive data segment in the request context information to generate a ciphertext transmission channel, and performing security parameter synchronization on the ciphertext transmission channel and the cross-department conjoint analysis model; and calling a federated learning framework to carry out multi-modal feature fusion on the real-time operation flow of the service operation terminal, generating an abnormal operation confidence score, triggering a cross-level interception protocol when the abnormal operation confidence score exceeds a dynamic threshold, and rolling back the current session state to a security baseline version. According to the invention, the accuracy and response timeliness of anomaly detection can be improved.

The invention provides an OracIeRAC-based CDC synchronization method and system, and relates to the technical field of OracleRAC, and the method comprises the steps: deploying an incremental log analyzer, a session state collector and a resource monitor, and respectively collecting atomic operation, concurrent transaction information and node performance indexes; and identifying data stream features by using an intelligent classification model, constructing a priority matrix, and performing fine-grained acquisition on high-priority data based on an adaptive sampling strategy. According to the method, multi-dimensional evaluation indexes are further utilized, a time sequence prediction model is constructed to predict node loads, data synchronization tasks are distributed to low-load nodes based on a load balancing matrix, and a two-stage submission protocol is adopted to ensure data consistency. By monitoring the synchronization state in real time and dynamically adjusting the allocation strategy, the CDC synchronization efficiency and stability in the Oracle RAC environment are effectively improved, and the synchronization delay is reduced.

The invention provides an industrial Internet of Things security authentication method and system based on zero-knowledge proof, and relates to the technical field of security authentication, and the method comprises the steps: sending the identity information of terminal equipment to an authentication server through an edge computing node, generating an equipment certificate, and building an identity management information base; and the authentication server detects a computing resource occupancy rate of the terminal equipment according to the equipment authentication key, generates a zero-knowledge proof request, performs parallel verification, updates an equipment reputation score and predicts a next authentication session state. And selecting main and standby communication channels based on the prediction state, and triggering channel switching when the health degree is lower than a threshold value. And the authentication server determines a dynamic time slice allocation strategy according to the equipment reputation score, the service priority and the prediction state, and the edge computing node adaptively adjusts the size of the time slice to complete authentication request processing. According to the method, the authentication efficiency and security are improved, the computing resource consumption is reduced, and the system robustness is enhanced.

The invention provides an agent collaborative question-answering method and system based on context awareness and authority control, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring user query, and triggering a user context manager to generate a session state user context object containing a permission label and preference; the central scheduler performs task decomposition based on the query intention and the context, dynamically selects an intelligent agent through a multi-dimensional scoring model and binds a knowledge source; the authority-aware agent execution engine executes triple authority verification and intermediate result desensitization processing in the whole process, and supports agent fault tolerance and audit log recording. The method realizes unification of knowledge security and access flexibility, supports multi-scene adaptive question and answer, and has good expandability and fault-tolerant capability.

The invention discloses a digital identity verification method and device based on a zero-trust architecture, terminal equipment and a storage medium, and belongs to the field of network security, and the method comprises the steps: obtaining an identity verification result according to user information and multi-factor identity verification information; according to the identity verification result, generating a session token and creating a session; collecting behavior data, equipment fingerprint data and geographic position data of the user during the session in real time, and dynamically adjusting the access authority stored by the session token according to the behavior data, the equipment fingerprint data and the geographic position data; each time a request sent by a client is received, the zero-trust architecture gateway determines the current session state of the server by verifying the current session token. Therefore, through the implementation of the invention, various identity authentication technologies can be organically integrated, continuous identity authentication under a zero-trust architecture is realized, and the security of digital identity authentication is improved.

The invention discloses a soft network system capable of expanding a transmission mode and an implementation method, and the system comprises an equipment resource mapping management unit which automatically generates a unique channel code based on a native hardware interface and establishes a multi-dimensional mapping relation; the heterogeneous interface data acquisition unit is used for monitoring various hardware interfaces in a kernel space in parallel and realizing zero-copy data transmission through a three-buffer lockless annular buffer area; the transmission abstraction and dynamic expansion unit realizes transmission mode modularization in a plug-in form and supports atomic hot plug during operation; the protocol analysis and service processing unit is used for realizing unified scheduling and fault isolation in a single process through a dynamic link mechanism; and the cross-layer monitoring and self-healing unit realizes automatic switching based on a session state machine and a redundant channel. According to the method, the code complexity is reduced from O (N * M) to O (N + M), and the time lt is extended; fault switching is carried out at 1s; and the hardware cost is reduced by more than 40%, so that the method is particularly suitable for power and environment monitoring scenes with more than 1000 devices and more than 15 protocols, and has high creativity.

The invention discloses a network data integration analysis system and method based on a model context protocol MCP, and relates to the technical field of computer networks. The system comprises an MCP-LSP adaptation layer, a network analysis language server, an IDE plug-in, a remote cooperation management module, an MCP analysis engine, an LSP client and an IDE UI component. According to the invention, deep fusion of the network protocol analysis capability and the integrated development environment is realized; by constructing an MCP-LSP adaptation layer, a network analysis language server can convert a semantic analysis result of an MCP analysis engine into an LSP standard message format, and standardized services of functions such as protocol analysis, session state and anomaly detection are realized; the working efficiency of a developer is improved by the IDE plug-in; the remote cooperation management module realizes synchronization and sharing of session states, improves integration, expandability and cooperation efficiency of network analysis, and is suitable for diversified requirements of modern software development teams.

The invention provides a service session control method for a multi-dimensional identification system, which comprises the following steps of: dynamically generating unique multi-dimensional identification information including an equipment identification EID, a service identification SID and a network identification NID when a user terminal accesses for the first time or accesses a network again; encrypting the multi-dimensional identification information by adopting a Hash algorithm, performing digital signature on the encrypted multi-dimensional identification information, sending the encrypted multi-dimensional identification information to a multi-dimensional identification server to complete registration, and performing associative storage on the multi-dimensional identification information and the equipment capability information by the multi-dimensional identification server; establishing an end-to-end communication link; the dynamic management mechanism continuously maintains the session state, and tracks and updates the multi-dimensional identification information of the user terminal in real time; when the equipment signal intensity is lower than the safety threshold or the electric quantity is lower than the threshold, the user can complete equipment migration without perception; terminating the session and releasing resources; according to the method, the safety, the efficiency, the consistency, the flexibility and the expansibility are remarkably improved, and the complex and changeable communication requirements can be better met.

The invention discloses a self-adaptive threat blocking method and system oriented to industrial control protocol deep analysis, and the method comprises the steps: constructing an industrial control protocol multi-dimensional analysis model, extracting an operation code semantic rule, a parameter structure constraint and session state hopping features based on protocol reverse engineering, generating a protocol syntax tree, and blocking a threat from the protocol syntax tree. Wherein the operation code semantic rule is matched with the service primitive mapping of an abstract communication service interface in the IEC 61850 standard; based on the protocol syntax tree, semantic-level analysis is carried out on real-time communication flow, dynamic indexes are extracted, the dynamic indexes comprise a process value mutation gradient, an instruction sequence logic conflict degree and a session state abnormal jump rate scale, and a three-dimensional threat feature vector is generated. According to the method, hidden attacks are accurately recognized through industrial control protocol semantic analysis and multi-dimensional dynamic blocking, so that the defense action and the production stability can be collaboratively optimized.

The invention relates to the technical field of data security, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a dynamic function menu generation method, device, equipment and medium, which comprises the following steps: acquiring an access request containing equipment type information sent by a user terminal, analyzing an authentication state of a user account and an associated license state, and sending the access request to the user terminal; and generating a dynamic session context defining function access qualification and an interface rendering strategy, loading a function menu strategy model containing function item set and permission mapping, determining a target permission level, matching a target function item subset with a rendering strategy, and generating and sending a function menu instance to the user terminal. The dynamic session context is generated in real time in combination with the user authentication state and the license state, linkage of permission judgment and interface rendering is driven, the function menu has the capacity of dynamic switching according to the session state, menu generation and accurate issuing based on actual authorization and the equipment environment are achieved, and unauthorized access is effectively avoided.

The invention relates to the technical field of routing context connection, in particular to a zero-code visualization and automatic routing method for large-model servitization orchestration, which comprises the following steps of: analyzing a user session text, extracting a core entity and an intention dependency relationship, constructing an entity intention graph, compressing to generate a state snapshot, and distributing a global session ID (Identity); the method comprises the steps that a snapshot is bound to a distributed routing decision tree node and stored, cross-node state continuity is established, when a new request is received, the snapshot and new session semantics are fused, a routing weight offset correction decision table is calculated, and a routing decision logic flow is generated by dragging an interface configuration rule and strategy. The method improves the service matching degree, reduces the development threshold, and is suitable for agile construction of large-model collaborative application.

Network infrastructure for user-specific generative intelligence. Providing user-specific context to a generically trained LLM introduces a variety of complications (privacy, resource utilization, training costs, etc.). Various aspects of the present disclosure provide novel user-specific data structures, privacy and access control, layers of data, and session management, within a network infrastructure for generative intelligence. For example, user-specific embedding vectors may be used to provide user context to a generically trained foundation model. In some variants, edge devices capture multiple modalities of user context (images, audio; not just text). Privacy and access control mechanisms also allow a user to control information that is captured and sent to the foundation model. Session management further decouples a user's conversational state from the foundation model's session state. These concepts and others may be used to emulate e.g., a chatbot based virtual assistant that responds based on user context.

The invention relates to a resource elastic scaling decision-making method, system and device and a medium. The method comprises the following steps: collecting real-time operation data of a security service node, and performing multi-dimensional security index analysis according to the real-time operation data to obtain a portrait data packet; predicting the security service weight value to obtain a prediction result, performing dynamic error compensation on the prediction result to generate a corrected weight prediction value, and generating a control instruction based on the corrected weight prediction value and the active session state; and when the instruction is a migration instruction, analyzing a session state snapshot of the instruction, calling a preset kernel state locking function to lock a memory session block of a source node, obtaining incremental state change data to generate a migration snapshot packet, and performing block verification injection operation on a target node. According to the method, by integrating multi-dimensional safety index analysis, prediction error compensation and stateful transition verification mechanisms, the accuracy and response efficiency of resource elastic scaling decision making are improved, and the continuity of stateful service transition and the consistency of safety strategies are enhanced.

Network infrastructure for user-specific generative intelligence. Providing user-specific context to a generically trained LLM introduces a variety of complications (privacy, resource utilization, training costs, etc.). Various aspects of the present disclosure provide novel user-specific data structures, privacy and access control, layers of data, and session management, within a network infrastructure for generative intelligence. For example, user-specific embedding vectors may be used to provide user context to a generically trained foundation model. In some variants, edge devices capture multiple modalities of user context (images, audio; not just text). Privacy and access control mechanisms also allow a user to control information that is captured and sent to the foundation model. Session management further decouples a user's conversational state from the foundation model's session state. These concepts and others may be used to emulate e.g., a chatbot based virtual assistant that responds based on user context.

The invention discloses a fusion quantum secure communication method of an NAT gateway, and relates to the technical field of communication network information security and quantum information. Comprising the steps of 1, creating a fusion quantum security communication system of an NAT gateway, 2, adopting a quantum hybrid encryption architecture through a quantum security module, and internally arranging a quantum key distribution unit and an anti-quantum computing acceleration chipset, 3, expanding a quintuple mapping structure of NAT through a dynamic address mapping and quantum encryption module, newly adding a quantum security dimension field QSV, and carrying out quantum encryption on the quantum key distribution unit and the anti-quantum computing acceleration chipset. And 4, developing a protocol non-inductive conversion engine through a hybrid protocol stack cooperation module, supporting an IPv4 / IPv6 dual-stack quantum tunnel and a quantum key inheritance protocol to realize cross-protocol family encryption parameter migration, dynamically adjusting a quantum encapsulation mode in an address conversion process, and dynamically associating an internal network address port with a quantum key parameter and a channel fingerprint feature. And 5, constructing a quantum perception type session state machine through an anti-quantum attack session management module, and performing a joint decision-making mechanism through quantum entanglement state monitoring and classical traffic feature analysis.

The invention relates to the technical field of encrypted communication, and discloses an intelligent analysis method and system based on multi-source data, and the method comprises the steps: obtaining multi-dimensional metadata of an encrypted communication flow, and generating a feature vector set; calculating a state transition probability of a communication session by using a Markov chain model, dividing the communication session according to a time window and mapping the communication session to a discrete state, and generating a session state evolution sequence; analyzing a session state evolution sequence based on a hierarchical topic model, mapping the state sequence to a behavior topic through potential Dirichlet allocation, mapping the behavior topic to an intention category through a hierarchical Dirichlet process, and outputting a communication intention category and a confidence score; according to the method, the limitation that static feature analysis cannot reflect the complete life cycle of the session is overcome, the problem of semantic gaps caused by limited metadata information dimensions is solved, and the accuracy and robustness of intention recognition are improved.

The invention discloses a single sign-on method and system based on flow interception and credential injection, and the method comprises the steps: a user completes UKey authentication through a gateway client, a gateway generates a session bound with the client and stores the session in a Redis cluster, and a dynamic TTL mechanism renews the session according to the operation of the user; when a user accesses an application system, a gateway captures traffic through a kernel layer, and a quintuple rule and a Bloom filter are adopted to intercept malicious requests; for a logged-in user, after the gateway queries the session state, an encrypted user certificate is called and a signature is added, and a request header is injected by a zero-copy technology and then forwarded to an application server. The system comprises a gateway client, an authentication gateway, a database and an application server. According to the invention, through a cryptographic algorithm, hardware-level key management and kernel layer flow optimization, the problems of complex integration, low security and performance bottleneck of a traditional single sign-on system are solved, and zero transformation access, microsecond-level delay and financial-level security compliance are realized.

The invention discloses a cross-platform session state reconstruction method and system based on event traceability, and relates to the field of cross-platform customer service integration, and the method comprises the steps: introducing a measurable business influence weight for a cross-platform field event through an event formatting mode based on business semantics, and maintaining a cross-platform event sequence in combination with a vector clock; according to the method, the real key events in the business meaning are adaptively selected to generate a state abstract through the time sequence accumulation calculation of the event weights, and snapshot is not carried out based on fixed time or a fixed number, so that the data transmission quantity and the calculation overhead required by state reconstruction are remarkably reduced; in the recovery stage of the client, only the abstract and the increment event after the abstract need to be transmitted, so that the client can still quickly reestablish the state at lower cost in a weak network and low bandwidth environment. Therefore, differential compression and recovery of a cross-platform event traceability semantic level are realized, and session reconstruction efficiency and resource utilization efficiency in a customer service large-scale multi-platform scene are greatly improved.

A method performed by a UE in a wireless communication network includes receiving a configuration for a conditional handover (CHO) from a source node to a candidate target node, executing the CHO to the candidate target node, and in connection with executing the CHO, and providing to the candidate target node a session status indication for an application session of the UE. A method performed by a target node in a wireless communication network includes receiving a CHO of a UE from a source node to the target node. In connection with the CHO, the target node receives a session status indication indicating a status for an application session of the UE, and handles the application session in accordance with the session status indication.

The invention discloses a user front-end behavior log recording method and system, and belongs to the technical field of computer application, and the method comprises the steps: front-end realization: employing a Vue framework, integrating a user-defined Vue plug-in, and automatically recording details of interaction between a user and the system; back-end processing: a user operation record interface receives and processes user behavior data sent by the front end, generates a standardized JSON object, and records the standardized JSON object through a log system; the online duration calculation interface is used for managing the session state of the user by using Redis, and calculating and accumulating the online duration of the user according to the heartbeat information; eLK log recording and analysis: creating a special index in Elasticsearch to store a user operation log and online time length data; and collecting and analyzing back-end logs by utilizing Logstash, and providing a data analysis interface. According to the method, the continuity and accuracy of user activeness statistics can be improved, and really active users and accidental visitors can be effectively distinguished.

The invention relates to the technical field of computers, in particular to a session state management method and device for a multi-agent system and a storage medium, and the method comprises the steps: defining one agent as a main agent and other agents as slave agents in the multi-agent system; in response to a session opening demand of a user, the master agent assigns a slave agent to the user according to the session opening demand of the user; the slave agent accepts the designation of the master agent, undertakes the session task and continuously dialogues with the user, and judges whether an assistance request needs to be sent to the master agent or not according to the dialogue content of the user in the session process; the master agent assigns another slave agent to replace the slave agent sending the assistance request for the user according to the assistance request, undertakes the session task and continues to converse with the user; and in response to a session ending request of the user, the slave agent ends the session task and waits for the master agent to perform task allocation. According to the invention, the accuracy and continuity of the session can be improved.

Techniques are disclosed for the detection of different states of a session comprising a bidirectional flow of network traffic between client devices so as to enable a network device to apply different network policies to different states of the session. In one example, a computing device identifies multiple states of a session and defines a plurality of network policies. Each network policy defines performance requirements for network traffic during each state of the session. A network device receives the plurality of network policies and determines a state of the session. The network device selects a path based on the performance requirements of the network policy associated with the determined state of the session. The network device forwards traffic associated with the session along the selected path while the session is in the determined state.

Systems and methods are provided for synchronizing chat-based interactions between SMS and secure web-based interfaces. A conversational AI assistant receives user messages via SMS, extracts intent using natural language processing, and generates a secure hyperlink to initiate a mirrored session in a browser-based chat interface. The system masks sensitive information when mirroring chat content to SMS, ensuring that personally identifiable data remains secure. Users can pause and resume workflows by re-engaging the SMS channel, with the system retrieving and restoring prior session state. Machine learning models are used to optimize data classification, session continuation, and workflow efficiency across channels.

A system, and a related process using the system, to collaboratively view a virtual representation of an environment or of products inserted in an environment, includes two or more local stations, each comprising a processor, a memory, a monitor, and a data transmission and reception system; and a WEB server configured to store a digital replica of the environment composed of spatially anchored media objects, allow real-time bidirectional synchronization of directional indicators between the local stations, enable the placement and interaction with multimedia elements and contextual annotations within the environment, and adapt the graphical interface based on user role and session state.

The invention relates to the field of man-machine interaction, and particularly provides a task processing method, device, equipment and system, a medium and a product. The method comprises the following steps: in response to a first session instruction of a user for a target type task, executing the target type task; the target type task belongs to a task type capable of receiving supplementary information input by a user during task execution; in the task execution period of the target type task, responding to a received second session instruction input by the user, and executing a corresponding task operation according to the intention of the second session instruction; wherein the intention is used for indicating to input supplementary information of the target type task or initiate a new task. Therefore, on the premise of not interrupting the original target type task, the new task instruction of the user can be responded in parallel or the supplementary input of the user to the target type task can be processed, and the problems of interaction blockage and context chaos caused by the exclusive session state under the existing architecture are solved.

The invention provides an edge session seamless migration method, system and device and a storage medium, which are suitable for real-time session scenes such as remote desktops, screen streaming media, interaction control and the like. The method comprises the following steps: generating a migration token based on trigger conditions such as load, link quality and proximity, executing snapshot and incremental log copying of a session state, establishing a parallel communication channel in a target relay, and completing NAT penetration and quality detection; calculating a sequence number and time offset between a source relay and a target relay, constructing a repetition suppression and ACK mapping mechanism, realizing mirror image drainage in a parallel window, and completing main path switching after a QoE condition is satisfied; and rollback control and key context synchronization are supported, and the stability and security of the migration process are ensured. The scheme has the advantages of low time delay, no interruption, high reliability and the like, and is suitable for various edge deployment and complex network environments.

The invention provides a user-defined role switching method and device for an AI voice module, and relates to the technical field of data processing, and the method comprises the steps: receiving a role switching instruction inputted by a user, carrying out the identification binding of the original data of a current session with a first role before switching, and recording the current dialogue state of the first role; according to a role switching instruction input by a user, determining a switching target as a second role, and extracting and archiving historical context information in the first role session data set; screening the context transfer data set in combination with the identity information, the permission level and the theme tag of the second role, and extracting historical context content suitable for the second role; updating the current session state with the second role; when the user switches back to the first role again, calling the stored current dialogue state and the dialogue data set of the first role; the autonomy and accuracy of the user-defined role switching method are improved.

The invention relates to the field of electric digital data processing and artificial intelligence session systems, and discloses a dynamic intention recognition and multi-agent seamless switching session system and method based on a large language model, and the system comprises an LLM central routing module, an agent session state management module and a cross-platform agent adapter pool. The intelligent agent session state management module defines a main context heap in a physical memory and manages a memory address of a private context block, the LLM central routing module maintains an active context pointer, and session switching is achieved by redirecting the pointer to a target memory address. Therefore, the problems of system delay and resources caused by high-frequency I / O (input / output) are avoided.