247 results about "Session state" patented technology

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 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 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.

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.

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 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.

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.

The invention discloses an equipment control method, equipment, a storage medium and a computer program product, and relates to the technical field of computers, the method comprises the following steps: when a sleep instruction is received, creating a trusted execution environment, and exporting a dynamic session state plaintext from a trusted platform module into the trusted execution environment; encrypting the dynamic session state plaintext by using a pre-generated dormancy binding key in the trusted execution environment to obtain a dynamic session state ciphertext, and calculating a verification value corresponding to the dynamic session state ciphertext; creating a dormant mirror image based on the dynamic session state ciphertext and the corresponding check value in the trusted execution environment, and storing the dormant mirror image in a nonvolatile storage medium; and triggering a sleep operation. The awakening efficiency of the device from the dormant state is improved.

The invention discloses a multi-factor login authentication method and system based on a dynamic authentication chain, and belongs to the technical field of information security, and the method comprises the steps: defining a plurality of authentication factors and an associated authentication chain sequence through extensible configuration data; recording the current authentication step and the completion state of each step through a state machine object; realizing cross-request state synchronization based on a distributed cache storage session state; and intercepting a login request through a section controller, and dynamically driving a multi-factor authentication process according to an authentication chain sequence. According to the invention, flexible and safe identity verification is realized through configurable authentication process and state machine management, the code coupling degree can be reduced, the user experience can be improved, and the brute force cracking risk can be reduced.

The embodiment of the invention provides a user session processing method and device, electronic equipment and a storage medium, and relates to the technical field of user session processing. The method comprises the following steps: acquiring a complexity score of a current user request and a current session state; according to the complexity score of the current user request and the current session state, performing state migration processing on the current user request according to a preset state migration rule, and determining a target session state of the current user request; according to the method, the target back-end response model is determined based on the target session state, and the current user request is routed to the target back-end response model for response processing, that is, intelligent routing of the user request is realized by combining the complexity score with a dynamic migration mechanism of the session state, and the service cost is effectively controlled while the response quality is guaranteed.

The invention provides a learning machine voice instruction interaction method and system, is applied to the technical field of learning machines, and realizes fine management of help seeking of a user by starting an independent'temporary session state record 'for each knowledge point. By generating'multi-level guide prompts' and'multi-level question exploration ', the system can gradually guide the user to think instead of directly giving answers, so that not only is the independent thinking ability of the user cultivated, but also the system can more accurately judge the real mastering degree of the user on the knowledge point. When the user answers correctly, the system confirms the mastering of the user; and when the answer is incorrect, the system adjusts an auxiliary strategy, such as recommending a teaching video, so that more targeted help is provided. Therefore, according to the method provided by the invention, false triggering of dependence intervention caused by multi-user sharing can be avoided, the accuracy and individuation of an auxiliary strategy of the learning machine are ensured, and the user experience and learning efficiency are remarkably improved.

The invention relates to the field of load balancing, and particularly discloses a national standard signaling load balancing system and a national standard signaling load balancing method based on elb and redis, which are characterized in that registration and session state data of all equipment are stripped from a signaling server and are converted into a high-availability shared cache for centralized persistence, so that the signaling server becomes a stateless computing node. When the load balancer detects that any signaling server fails, the load balancer accurately and smoothly redirects the subsequent signaling of the affected device to another healthy takeover server in the cluster by using the orderliness of the consistent Hash algorithm. As all the servers maintain the complete mirror image of the global device state in the local memory in advance, the takeover server can immediately identify the device and seamlessly recover the session. In this way, the problems of session loss and large-scale re-registration storm caused by server faults are solved.

The embodiment of the invention provides a multi-round dialogue complexity assessment method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of artificial intelligence. According to the method, by fusing the trend of the session state, the semantic turning of the abstract and the correlation of the historical dialogues, the evaluation accuracy of the real complexity of the request in multiple rounds of dialogues is improved, and misjudgment caused by only depending on the original text length or keywords is avoided; and meanwhile, the context length transmitted to the large language model is effectively compressed by using the abstract containing intention transformation and the related dialogue, so that the Token cost is directly saved, the calculation overhead brought by redundant context transmission is reduced, and a more efficient and more intelligent model routing decision is supported. Accurate context compression and routing decision reduce the average duration of request processing, and the user experience can be improved.

The invention relates to the technical field of crossing of information security and artificial intelligence, in particular to a system and method for accurately fusing system login permission based on GNN risk assessment, comprising the following steps: S1, constructing an initial permission topological graph comprising user nodes, token nodes and resource nodes, and setting risk weights for edges in the graph according to historical abnormal access behaviors; loading a plurality of sets of preset permission strategy libraries and preheating map neural network model parameters; s2, executing first-layer cryptographic signature verification of the token on the received access request to confirm the validity of the token; analyzing a session state identifier carried in the token after the signature verification is passed, and switching to a corresponding permission policy library at the current thread-level atom according to the identifier; according to the method, key technologies such as dynamic authority topology analysis based on the graph neural network, session-level real-time fusing and zero-copy auditing are introduced, so that millisecond-level accurate detection and isolation of the user access risk are realized.

The embodiment of the invention relates to a script analysis method and device, equipment and a storage medium. The method comprises the following steps: generating script structure data of a script to be analyzed; performing cross-session state analysis on a target entity node in the script structure data to obtain visual effect identification data; and performing visual effect demand analysis on the to-be-analyzed script according to the script structure data and the visual effect identification data to obtain a visual effect analysis result. According to the technical scheme provided by the embodiment of the invention, flexible, universal, accurate and efficient automatic script analysis can be realized.

The invention discloses a description language tool for a protocol fuzz test, and the tool comprises a PDL module which is used for defining a protocol message structure, a session state, and association between fields; the analysis module is used for analyzing the PDL definition into an intermediate representation; the fuzzy test engine is used for generating a use case by adopting a three-stage coding assembly line according to the intermediate representation and the session context; and the execution module is used for sending the use case and receiving the response. The PDL of the tool supports bit-level precision, a composite structure and an inheritance mechanism, a semantic perception variator is arranged in the fuzzy test engine, and consistency of use case generation and response analysis is achieved through single-definition bidirectional semantics. Accurate modeling and dynamic simulation of a complex protocol are realized through a unified description language, and the efficiency, the coverage rate and the maintainability of fuzzy testing are remarkably improved.

The application provides a business data security protection method and system for digital enterprise management, which comprises the following steps: obtaining an access request sequence initiated by a target user on a business operation terminal, generating a dynamic access control policy vector according to a historical behavior track associated with an access operation identifier, and analyzing the dynamic access control policy vector through a policy decoder to generate a real-time access permission instruction; based on the real-time access permission instruction, homomorphic encryption mapping is performed on sensitive data segments in the request context information to generate a ciphertext transmission channel, and the ciphertext transmission channel is synchronized with a security parameter of a cross-department joint analysis model; a federal learning framework is called to perform multi-modal feature fusion on a real-time operation flow of the business operation terminal, an abnormal operation confidence score is generated, and when the score exceeds a dynamic threshold, a cross-level interception protocol is triggered and the current session state is rolled back to a safe baseline version. The application can improve the accuracy and response timeliness of anomaly detection.

According to an aspect, a method includes receiving, by a language model, session state information, generated by a browser application, about a computer session of a user, receiving, by the language model, a user-generated query including a natural language description about a browser tab, generating, by the language model, a textual response about the browser tab using contextual data, the contextual data including the session state information, and providing the textual response on a user device.

The invention provides a session processing method and device, a server and a storage medium, relates to the technical field of communication, and solves the technical problem of relatively low session processing effectiveness caused by the fact that an idle customer service selected by the server may not accurately answer a problem proposed by a user. The method comprises the following steps: acquiring a historical session record in a target session in response to a session processing request of a user account; based on the historical session record, a label of each customer service in a plurality of customer services and a session state of each customer service, determining a recommendation score of each customer service; and determining the customer service with the highest recommendation score as a target customer service, and accessing the target customer service to the target session, so that the target customer service processes the target session.