636 results about "Text messaging" patented technology

The invention provides an intelligent short message scheduling method and device based on multi-dimensional dynamic optimization, and the method comprises the steps: obtaining the performance data of a plurality of short message channels, and calculating a channel health score based on a weight dynamic adjustment model; determining a scheduling strategy according to the priority identifier of the to-be-sent message, and performing channel screening and optimal matching; executing message sending and monitoring a sending state; terminal state detection is carried out on the failure message through operator base station signaling, and a decision tree model is applied to determine a retry strategy; and performing Huffman coding compression processing on the P2-level marketing messages which fail in retry, and performing batch sending in an idle window. According to the method, a comprehensive performance evaluation index and reward function model is also constructed, and parameter optimization is performed by applying a reinforcement learning algorithm. According to the invention, multi-dimensional dynamic channel scoring, intelligent retry decision making based on terminal state perception, batch processing with balanced cost-time efficiency and a closed-loop self-optimization system are realized, the short message delivery rate is obviously improved, and the invalid retry rate and the sending cost are reduced.

The invention discloses a secure transmission system based on a multimedia short message, and relates to the technical field of communication and network security, and the system comprises a protocol stack security reinforcement module which carries out the hierarchical reconstruction of an MMS protocol stack, comprises a preprocessing layer, is used for intercepting and filtering illegal characters, and verifies the legality of a message structure through a finite-state machine; the analysis layer is used for pre-judging memory requirements based on message types and lengths by adopting a dynamic memory allocation strategy; the execution layer is integrated with a null pointer checking mechanism, and the validity of a pointer is forcibly verified before a protocol stack calls a function; the encryption and signature module is used for carrying out end-to-end encryption on a message body and metadata by adopting a hybrid encryption algorithm and carrying out message integrity verification through a lightweight hash tree; and the vulnerability real-time monitoring module is embedded into an abnormal behavior detection model based on machine learning and is used for dynamically identifying memory occupation abnormity and illegal instruction calling high-risk operation when the protocol stack runs.

The invention relates to the technical field of network security and data processing, and discloses a violation short message recognition method and system based on deep semantic understanding, and the method comprises the steps: firstly cleaning an original short message, generating a mixed embedding vector through characters, sub-words and pinyin, and carrying out the recognition of the violation short message; then processing through a double-layer detection engine, wherein the first layer utilizes rules and a lightweight model for rapid preliminary screening; in the second layer, for suspected samples, a double-tower fusion neural network architecture is adopted, local and global features are combined, fusion is carried out through a gating unit, and a large language model is input to carry out deep semantic reasoning. The system executes strategies such as interception or flow limiting according to the risk score, and realizes model iteration through a dynamic knowledge base and incremental learning. According to the method, the resource consumption and the detection precision are balanced through the layered architecture, the antagonistic variants are effectively identified by utilizing multi-dimensional feature fusion, and the method has the adaptive evolution capability for a novel violation mode.

The invention discloses a multi-channel high-precision water level dynamic real-time monitoring system for a drilling water pumping test, and the system comprises a sensing layer which is used for deploying a multi-source sensor array, inhibiting interference through distributed layout and electromagnetic shielding, collecting multi-dimensional data in real time, and carrying out the preliminary filtering; according to the transmission layer, an optical fiber and twisted pair redundant network is constructed, an EtherCAT protocol is adopted for low-delay transmission, AES-128 encryption tampering prevention is integrated, and edge nodes compress data and verify integrity; the processing layer is used for carrying out real-time preprocessing on edge calculation and switching a standby sensor in abnormal detection; the cloud end predicts the water level trend through Spark Streaming analysis and an LSTM model, distinguishes interference through a random forest algorithm, and outputs calibration data and an analysis report; the application layer is used for constructing a three-dimensional drilling model based on Unity, dynamically displaying water level changes, synchronizing a multi-parameter curve and supporting historical backtracking; the early warning module notifies abnormity through sound and light and short messages, the decision module generates a report and supports multi-drill-hole comparison, and the test strategy is optimized.

A processing system including at least one processor may obtain a text message content from a sender to a recipient, identify additional contextual content based upon a context associated with at least one of: the sender and the recipient, generate a revised text message content based upon the text message content in accordance with the additional contextual content, and transmitting a message to the recipient comprising the revised text message content.

The invention discloses a slope early warning method and system based on a knowledge graph, and relates to the technical field of multi-source monitoring slope early warning, and the method comprises the steps: 1, unifying laser, radar, satellite remote sensing and underground water level monitoring flow into an index-structure-disaster situation graph containing traceability metadata; 2, generating an instability trigger coefficient by using a gradient lifting model driven by a coupling trend and credibility; step 3, automatically outputting short messages, broadcasts and social contact templates, and implanting abstract codes for publishing; 4, comparing the returned text in real time, marking deviation nodes according to graph consistency, and tracing a source link; and step 5, performing Hash solidification on the core early warning segment and spreading the performance to the alliance chain, and writing back the knowledge graph optimization template and channel. According to the scheme, multi-source data alignment is achieved, early warning is accurate and reliable, cross-medium semantic consistency and evidence chain traceability are achieved, and the requirement of the whole mountain disaster prevention process is met.

The invention relates to the technical field of information security, can be applied to the medical field and the financial science and technology field, and discloses a short message privacy protection method, device and equipment based on a block chain, and a storage medium, which are applied to payment verification and transaction confirmation scenes or remote medical consultation scenes. The method comprises the following steps: generating a sender private key and a sender public key in a trusted execution environment, and recording the sender public key in a public key warehouse on a block chain through a smart contract; when a short message sending request is received, generating an elliptic curve key pair, performing key verification, and generating a key negotiation parameter and a temporary session key; performing hierarchical encryption and assembly on the short message content, the temporary session key, the receiver identifier and the sender identifier to generate an encrypted short message packet; calculating a hash value of the encrypted short message packet as a short message identifier; and sending the encrypted short message packet to a receiver terminal for hierarchical decryption and verification. According to the invention, the security of short message privacy is improved.

The invention relates to a short message fraud detection method based on semantic and behavior feature fusion. The method comprises the following steps of short message collection, short message processing, feature extraction, fraud short message recognition and fraud short message submission. According to the method, the semantic features and the behavior features of the short messages are fused, and the overall detection precision and robustness are effectively improved.

Operating effectively in an increasingly prolific Internet of Things environment, one needs the ability to message, whether device status, actions taken, recommendations for actions or other information to those with a need to know and support responses to actionable messages. Texts and e-mail are limited; they can neither provide other outputs, be targeted in intelligent fashion nor selectively relayed or contain execution instructions for target devices. The present invention is an Extended-Capability Messaging Appliance (ECMA) that communicates with other IoT devices that provides these capabilities and can include AI. ECMA and non-ECMA AI elements can constitute a Hybrid AI Backbone. The Hybrid AI Integrator receives results from multiple A elements and develops one or more conclusions. An ECMA may be configured as a Body-Area Network for individuals or a Business-Area Network for industry and other commercial applications with an AI Agent called BANDIT that processes requests from a user.

The invention provides a verification code acquisition system and method, an intelligent agent, a gateway, a platform and a storage medium, and relates to the technical field of artificial intelligence. The verification code acquisition system comprises an AI (artificial intelligence) agent, a short message gateway and a service platform associated with the AI agent, and is characterized in that the AI agent is connected with the short message gateway, and the service platform is connected with the short message gateway. And the AI agent sends an identity verification request carrying the first identifier to an application platform corresponding to the target application in response to an input calling operation for the target application. The first identifier is associated with the AI agent, and the identity verification request is used for requesting the application platform to send a verification code carrying the first identifier to the short message gateway. And the short message gateway sends the verification code carrying the first identifier to the service platform based on the first identifier. And the service platform sends the verification code to the AI agent based on the first identifier. And the AI agent executes an identity verification operation for the target application based on the verification code, so that the processing efficiency of the AI agent for processing the task associated with the target application is improved through dynamic identity verification of the application platform.

The invention relates to an automobile staging post-loan overdue risk prediction method and system based on AI time sequence analysis, and belongs to the field of financial risk control and artificial intelligence. According to the method, time sequence modeling is carried out on historical repayment records, account behavior characteristics and macroeconomic indicators of a loan person, and long-term and short-term dependency relationships of behavior changes of the loan person are captured by using an LSTM network, so that dynamic prediction of an overdue risk after loan is realized. On the basis of the risk score, the system automatically triggers a grading intervention strategy according to a set threshold value, the grading intervention strategy comprises short message reminding, manual return visit and intelligent staging adjustment, and real-time early warning and automatic intervention of post-loan risks are achieved. According to the method, the accuracy and timeliness of post-loan risk identification can be remarkably improved, the asset loss rate is reduced, and the method has relatively high applicability and popularization value in an automobile financial staged scene.

The invention relates to the technical field of short message transmission optimization, and discloses an intelligent short message resending system and method based on receipt state recognition. A communication data acquisition module of the system obtains historical short message transmission records in a preset time period of a target communication area and generates a communication state data set; a feature extraction storage module performs receipt feature extraction on the data set to obtain a historical receipt feature set and establish a receipt state change matrix; the topology modeling module constructs a terminal state atlas according to the matrix, and calculates the topology aggregation degree of the historical short message failure events to determine an abnormal characteristic index set; a real-time analysis module extracts real-time receipt features of the current short message transmission data to generate real-time state vectors, and calculates a topology correlation degree with the abnormal feature index set in a terminal state graph to generate real-time risk factors; and the decision generation module generates a short message resending strategy instruction according to the real-time risk factor, the historical receipt feature set and the receipt state change matrix.

The invention discloses a multi-modal fusion short message compliance and security dual auditing method and system, and the method comprises the steps: encrypting account information through employing an irreversible algorithm based on SHA256 and a random salt value, and decomposing the content of a short message into a text stream, a link stream and a symbol stream through employing a regular expression; traversing each character in the short message content by adopting a prefix mode based on a Trie tree in combination with an AC automaton algorithm to detect sensitive words; performing symbol semantic classification mapping and analysis on the special symbol feature data extracted from the symbol stream; carrying out sending behavior analysis on the text feature data extracted from the text stream; performing special detection on link feature data extracted from the link stream; based on the factors corresponding to the sensitive words, the semantics, the behaviors and the links and the weights of the factors, a multi-modal feature fusion decision risk assessment algorithm is adopted to output a risk score value and a risk decision rule of the risk score value so as to execute short message interception operation or short message release operation. According to the invention, full-dimension perception and dynamic defense of risks can be realized.

The invention relates to the technical field of information, in particular to an intelligent short message platform management and control method and system based on multi-level risk control. The method comprises the following steps: reading a to-be-sent short message text, comparing the to-be-sent short message text with a preset interception keyword library, and intercepting a to-be-sent short message if a matched interception keyword exists; identifying the semantics of the short message to be sent, and comparing the semantics with a plurality of preset prohibited scenes to obtain a scene matching degree; if the scene matching degree is higher than a preset threshold value, intercepting the short message to be sent; according to the recognized semantics, marking a text corresponding to the semantics; reading the unmarked text, and if the word number of the unmarked text exceeds a preset word number threshold value, obtaining characters with similar fonts and characters with similar pronunciation; trying to perform semantic recognition according to the combination of the characters with similar fonts and the characters with similar pronunciation of the unmarked text; comparing with a plurality of preset forbidden scenes; and if the matching degree of any second scene is higher than a preset threshold value, intercepting the short message to be sent.

The invention discloses a real-time processing method based on voice short messages, and relates to the technical field of communication, and the method comprises the specific steps of voice preprocessing, voice transcription and text specification, semantic analysis and processing, information processing and result feedback. According to the invention, through an adaptive filtering formula in voice preprocessing and a segmentation mechanism based on voice pause intervals and intonation changes, dynamic noise reduction processing and accurate segmentation of voice signals are realized, and the frequency and amplitude of noise signals and corresponding characteristics of the voice signals can be analyzed in real time. A filtering coefficient is dynamically adjusted through a self-adaptive filtering formula, non-voice signal components are effectively filtered out, meanwhile, complete voice information is reserved, continuous voice streams are accurately segmented by capturing pause intervals and intonation changes in voice signals, standardized voice segments with timestamps and sequence identifiers are formed, and therefore the voice processing efficiency is improved. And a high-quality data basis is provided for subsequent voice transcription and semantic analysis.

The invention relates to the technical field of short message sending, in particular to an industry scene-oriented short message template intelligent matching and effect prediction optimization method, which is applied to a short message service platform carrying a machine learning inference engine. Industry scene features and user response attenuation features are extracted through block processing and a community detection algorithm; and based on scene time sequence evolution analysis and in combination with effect stage modeling, dynamic prediction of short message effect attenuation is realized. And then constructing an industry knowledge graph, predicting the potential effect risk of the template, performing semantic association matching in combination with a multi-strategy library, generating an effect risk management plan, and finally realizing real-time dynamic optimization of the short message template. According to the method, the scene adaptability, the prediction accuracy and the strategy matching degree are effectively improved, and the short message marketing effect and the resource utilization rate are remarkably optimized.

The invention discloses a push-in information processing method and device. The method comprises the following steps: analyzing a target short message point-to-point protocol data packet sent by a calling number, and judging whether short message information in the target short message point-to-point protocol data packet is push-in information or not according to an obtained analysis result; when the short message information in the target short message point-to-point protocol data packet is push-in information, determining a target short message text corresponding to the push-in information in the target short message point-to-point protocol data packet according to the analysis result; analyzing the target short message text by using the abnormal short message classification model to obtain an abnormal probability of the target short message text; and determining a processing operation executed on the push-in information in the target short message point-to-point protocol data packet according to a size relationship between the abnormal probability and a preset threshold value. The technical problem that the false alarm rate is high due to the fact that variable abnormal push-in short messages cannot be accurately recognized by adopting a fixed rule is solved.

A system for aiding in a medical clinical trial involving one or more pediatric patients includes a patient passport, individual achievement stickers that are awarded to pediatric patients and that are placed within the patient passport, and an interactive companion toy having distinctive patterns thereon. A camera of a mobile device scans the individual achievement stickers in the patient passport and / or the distinctive patterns on the interactive companion toy, and an interactive incentivization application logic section of the mobile device unlocks and display reward content to the pediatric patient. The interactive companion toy, the mobile application, and the physical passport can be customized to match particular protocols of the clinical trial. The pediatric patient is thus incentivized to participate and continue the clinical trial. Virtual medical play associated with the clinical trial can be practiced on the interactive companion toy in an augmented reality environment. Parents are assisted through automatic text message reminders, and electronic patient-reported outcomes are collected, transmitted, processed, and summarized for visualization and insights via a cloud-based clinical trial portal.

The invention provides an automatic short message auditing method and device based on two-channel model back-end decision fusion, and relates to the technical field of prevention and control management, the method inputs short messages into an autoregression judgment model and a large-scale pre-training model, respectively generates sensitivity scores, optimizes weight distribution through cross validation, and improves the accuracy of short message auditing. The accuracy of short message content auditing is effectively improved, and the phenomena of misjudgment and missed judgment are reduced; a double-channel model structure and multi-dimensional information fusion are utilized, and the advantages of different models are combined, so that the auditing system can keep efficient and stable performance under various input situations, and the adaptability of the system to different types of short messages is enhanced; through back-end decision fusion, weighting processing is carried out on two paths of output, and the advantages of respective models are combined, so that the accuracy and robustness of auditing are improved, and efficient and accurate safety management is ensured to be kept in large-scale short message auditing.

The invention discloses a multi-modal short message drainage number intelligent identification and interception system, which belongs to the technical field of short message interception and comprises a multi-modal data acquisition and fusion module used for acquiring multi-modal short message data and performing fusion processing on the multi-modal short message data based on natural language processing to form multi-modal short message fusion data; the situation awareness intelligent identification module is used for constructing a short message number intelligent identification model based on artificial intelligence, performing semantic understanding and analysis on the multi-mode short message fusion data, identifying potential short message drainage numbers and determining a short message number intelligent identification result; and the real-time decision security interception module is used for performing corresponding real-time decision and information security interception according to the intelligent identification result of the short message number so as to ensure the information security. According to the method and the device, the problem of low information security caused by incapability of accurately identifying and intelligently intercepting the short message drainage number in the prior art is solved. According to the invention, the short message drainage number can be accurately identified and intelligently intercepted, and the information security can be improved.

The invention discloses a session switching method for a short message sending fault and short message gateway equipment, and relates to the technical field of wireless communication. In the method, the short message gateway equipment synchronously constructs a session template library containing a protocol version, a window size and an authentication parameter when establishing an SMPP session with each short message supplier, and a standardized connection parameter basis is provided for subsequent rapid reconnection. The TCP connection and the TLS handshake are executed for the optimal standby supplier in advance to form the preheating session channel, so that the time consumption of connection establishment during failover is reduced. According to the invention, when the fault of the current supplier session is detected, the short message gateway equipment only needs to execute SMPP binding and authentication verification to activate the preheating channel as the complete session, so that the time interval from fault detection to service recovery is shortened, and the short message supplier switching efficiency is improved.

The invention designs a big data real-time monitoring method fusing self-sensing anomaly discovery and decision tree early warning. The method comprises the following steps: S1, collecting initially input signal data; step S2, filtering the collected signal data; s3, performing Flink calculation on the filtered signal data, and outputting triple signal data; s4, performing transaction detection on the triple signal data, and importing output index data into a transaction index library; s5, analyzing the transaction index library, configuring a threshold value for a single index or a plurality of index combinations, incorporating the threshold value into a rule knowledge base, and simultaneously synchronizing the rule knowledge base and a transaction detection algorithm into a monitoring calculation engine; and S6, calculating a monitoring value comparison threshold value by a monitoring calculation engine, and if a rule condition is met, notifying the monitoring value comparison threshold value by a mail or a short message. Through the above design, a monitoring system with dynamic anomaly perception and intelligent rule generation can be established, and automatic discovery-verification-deployment closed loop of the monitoring rule is realized.

A method for reducing fraud for SMS OTP authentication includes receiving, by a server from a plurality of participating entities, a plurality of phone numbers and a plurality of metadata associated with a user, and determining, by the server, a phone number tenure for each of the plurality of phone numbers, based on the plurality of metadata. The method further includes determining, by the server, a phone number consistency for the plurality of phone numbers, based on the plurality of metadata, and determining, by the server, a device binding status for each of the plurality of phone numbers, based on the plurality of metadata. The method further includes determining, by the server, a most reliable phone number associated with the user from the plurality of phone numbers, and transmitting, by the server, to the most reliable phone number a SMS OTP, and authenticating the user based on the SMS OTP.

The invention relates to the technical field of artificial intelligence and the field of medical information security and financial services, in particular to a short message anti-fraud method and device based on artificial intelligence, equipment and a medium. According to the method, the to-be-sent short message is analyzed, the to-be-sent short message and the equipment information are subjected to feature classification extraction, for any feature category, the corresponding feature vector is evaluated according to the evaluation model, all evaluation results are fused, and the communication number is marked as the blacklist number. And receiving the short message of the communication number is blocked. The method can be applied to business scenes such as financial service and medical information security, the to-be-sent short message is analyzed by using the first anti-fraud model through the mobile terminal, if the short message is a problem short message and a user confirms sending, the short message is reported to the cloud, the result is evaluated and fused, and the global blacklist is updated to stop receiving the short message. Therefore, the short messages are comprehensively analyzed in the short message sending process of the mobile terminal, and the short messages meeting the conditions are accurately marked and blocked.

The invention discloses a dynamic encryption authentication method for data communication equipment and a related device, and relates to the technical field of network security, and the method comprises the steps that an authentication server establishes an encryption communication channel based on a transport layer security protocol between a user terminal and the data communication equipment; on the channel, the authentication server receives the static identity credential of the user terminal for first verification; and after the verification is passed, the dynamic password is sent to the user terminal through the short message gateway, and the dynamic password submitted by the user terminal is subjected to second verification. When the user terminal initiates a control instruction, the authentication server sends a challenge value to the user terminal; the user terminal calculates a challenge value by using the pre-shared key, generates a response code and returns the response code to the authentication server; the authentication server verifies the validity of the response code, and forwards the control instruction to the target data communication equipment after the verification is passed; and the data communication device executes the instruction and records an execution event in a security audit log. According to the invention, the data transmission security and authentication efficiency of the data communication equipment in different network environments can be effectively improved.

A processing system including at least one processor may obtain a text message content from a sender to a recipient, identify additional contextual content based upon a context associated with at least one of: the sender and the recipient, generate a revised text message content based upon the text message content in accordance with the additional contextual content, and transmitting a message to the recipient comprising the revised text message content.

The invention relates to the technical field of multimedia short messages, and discloses a privacy protection system based on multimedia short messages, comprising: a preprocessing module for receiving original multimedia short message content, encrypting the original multimedia short message content to generate encrypted content, and generating verification metadata uniquely associated with the encrypted content; the secure transmission module is used for packaging the encrypted content into a transmission data packet, establishing an encryption channel by adopting a dynamic key negotiation mechanism in a transmission process, and carrying out bidirectional verification on the identity of a receiver by verifying metadata; and the secure storage module is used for performing authority verification on the encrypted content passing the identity verification before decryption at a receiving end, and storing the encrypted content in an equipment isolation storage area after the verification is passed, and the equipment isolation storage area realizes access control through a hardware-level encryption engine. According to the invention, network attack and interception in the transmission process can be prevented, privacy leakage when equipment is lost or cracked is avoided, the privacy security of the multimedia short message of a user is guaranteed, and the requirement of people for privacy security is met.

The invention discloses a short message fraud early warning method and system based on abnormal behavior detection, and relates to the field of short message fraud early warning, and the method comprises the steps: obtaining user terminal equipment behavior data and financial transaction request behavior data, and constructing a continuous behavior sequence after a user short message is received; constructing a dynamic baseline based on user historical behavior data, calculating a deviation degree between single behavior data and the dynamic baseline, and generating a suspicious behavior set; performing cross-platform behavior tracking to obtain cross-platform behavior data; inputting the deviation degree corresponding to the suspicious behavior, the sequence context information of the occurrence time point of the suspicious behavior and the cross-platform behavior data into an AI fusion analysis model, outputting a fraud risk confidence coefficient, and calculating a fluctuation ratio; and performing fraud behavior identification based on the fraud risk confidence and the fluctuation ratio, and triggering real-time early warning when fraud is confirmed. According to the invention, high-precision and self-adaptive real-time detection and early warning of short message fraud behaviors are realized.

The invention provides a smoke and fire detection alarm method and a camera, and relates to the technical field of fire safety intelligent monitoring and emergency response, and the method comprises the steps: collecting an image of a monitoring area through the camera; analyzing the image of the monitoring area, extracting the form, texture, color and dynamic change multi-dimensional features of smoke and flame in the image, comparing the features with a preset smoke and flame feature database, analyzing the possibility of existence of smoke or flame features, and obtaining a possibility value; according to the possibility value, if smog or flame characteristics are analyzed and confirmed, an alarm triggering instruction is automatically obtained and sent out; based on an alarm triggering instruction, a remote alarm notification is automatically sent to a specified contact person through a wireless communication network in various modes of making a call, sending a short message or pushing a message by means of a built-in communication function. According to the invention, intelligent and efficient management and control of the whole process from early-stage accurate recognition of the fire behavior to emergency disposal can be realized.

The invention discloses a radio frequency index monitoring method for a terrestrial digital broadcast signal, and particularly relates to the technical field of broadcast televisions, radio frequency index data of the terrestrial digital broadcast signal are collected, the collected radio frequency index data are preprocessed, radio frequency index characteristics are extracted based on the preprocessed radio frequency index data, and the radio frequency index characteristics are analyzed to obtain a radio frequency index monitoring result. A multi-modal artificial intelligence anomaly detection model is constructed and trained, the model can fuse and process different types of radio frequency index features, the normal mode of radio frequency indexes is learned through historical data, anomaly is recognized through reconstruction errors, the extracted radio frequency index features are input into the trained multi-modal artificial intelligence anomaly detection model, and the anomaly is detected. Judging whether the current radio frequency index state is abnormal or not; and when the judgment result is abnormal, classifying according to an abnormal mode, triggering an early warning mechanism based on an abnormal detection result, sending an alarm notification to operation and maintenance personnel through a short message, an email and an operation and maintenance platform, preliminarily positioning a fault source and providing a diagnosis suggestion.