45results about How to "Improve audit effect" patented technology

A system and method for generation of unpredictable and auditable random numbers includes a host computer, a digital signature server and a verification device. The host computer provides data to the digital signature server; obtains digital signature for this data; uses elements of this signature for random numbers generation; logs relevant data for audit. The verification device uses logged data for auditing of the random number generation process. This invention can be applied in gaming and gambling industries where the random numbers are used for generation of game / play elements and of winning numbers elements. The game / play elements and winning numbers elements generated using this invention can be audited.

The invention provides a cloud storage data auditing method for preventing a secret key from being revealed. The method comprises the first step of system parameter generating, the second step of secret key updating and the third step of file uploading and auditing. According to the method, a physically safe safety device is introduced to help a user to periodically update the secret key, and therefore data auditing in other time periods is still safe even when an attacker attacks the user at one time period and obtains the user secret key at the time period.

The embodiment of the invention discloses a document auditing method, device and system, equipment and a storage medium. The method comprises the following steps: acquiring an object numbered musicalnotation format document sent by a document analysis component, and acquiring a preset machine learning model and a document auditing rule matched with the object numbered musical notation format document according to a business scene of the object numbered musical notation format document; extracting key information in the object numbered musical notation format document through a preset machinelearning model; and generating a document auditing result through a rule engine according to the document auditing rule and the key information, and sending the document auditing result to the webpagecomponent. According to the embodiment of the invention, the matched preset machine learning model and document auditing rule can be obtained according to the business scene. The key information in the object numbered musical notation format document can be accurately extracted through the preset machine learning model, and then document auditing is carried out through the rule engine according to the document auditing rule and the key information, so that the document auditing requirements under different business scenes are met, and the document auditing effect and the document auditing efficiency are improved.

The invention relates to comparing method and comparing system of electronic invoices, wherein the comparing method comprises the following steps of: inquiring an electronic invoice storage card, and obtaining the data of the electronic invoice conforming to an inquiry condition; inquiring whether the electronic invoice which corresponds to the obtained data of the electronic invoice and is provided with a reading tag exists in an acquisition subsystem, and if so, then reject to lead out the data of the electronic invoice and ending, wherein the reading tag is used for marking that the data of the electronic invoice is read by the acquisition subsystem from the electronic invoice storage card; otherwise, acquiring the data of the electronic invoice, and generating and storing the data of the electronic invoice with the reading tag; and transmitting the encrypted data of the electronic invoice to a comparing subsystem for carrying out comparing operation. The comparing system comprises the acquisition subsystem and the acquisition subsystem. The comparing method and the comparing system of the electronic invoices provided by the invention improve the auditing capability for invoice authenticity and simultaneously overcome the defect that the same invoice can be accepted for many times in the prior art.

The invention discloses an index conversion method for public data integrity checking. The index conversion method for the public data integrity checking includes the following steps: a user side logs in a cloud server and an audit server, synchronizes a public key of a user to the cloud server and the audit server, receives a user request, and judges whether the user side is requested to execute the operation of uploading a file or requested to execute the operation of deleting the file according to the user request; if the user side is requested to execute the operation of uploading the file, the user side receives the file needing to be uploaded from the user, segments the file needing to be uploaded according to the public key and a private key of the user, calculates a label of each segment, and uploads the file needing to be uploaded and the label of each segment to the cloud server; and if the user side is requested to execute the operation of deleting the file, the user side receives the file needing to be deleted from the user, and deletes files, file labels and relevant file information in the cloud server and the audit server, wherein the files, the file labels and the relevant file information correspond to the file needing to be deleted. The index conversion method for the public data integrity checking is an improvement based on an existing privacy-preserving public auditing (PPPA) scheme, and the problem that the existing scheme does not support dynamic updating of data can be solved.

The invention discloses an intelligent device log processing system and method, and relates to an Internet of Things intelligent device log processing system. The system comprises a log obtaining device used for obtaining an original log of an intelligent device according to parameters of the intelligent device; a log parser used for receiving the original log, parsing the unstructured or semi-structured original log into a structured log and generating a log sequence; a security rule base comprising log analysis rules; a log analysis engine used for receiving the structured logs and the log sequences, carrying out rule matching on the structured logs according to log analysis rules of the security rule base, and carrying out hierarchical clustering on the log sequences; a log analysis reporting device used for generating a report according to the result of the log analysis engine and the security rule base; and a user interface module used for interacting with a user, receiving the parameters of the intelligent equipment and outputting the report to the user. The intelligent device log processing system and method are efficient, simple and accurate in log obtaining.

The invention discloses a network audit data collection method, a corresponding device and equipment and a storage medium. The device comprises a data capture unit, which is used for starting a data forwarding process, creating a plurality of virtual network interfaces through the data forwarding process, capturing an original data message from a physical network card and sending the original datamessage to each virtual network interface; and a data collection unit, which is used for starting a plurality of network auditing processes, and obtaining corresponding original data message from thecorresponding virtual network interface through each network auditing process. The network audit data collection method, the corresponding device and equipment and the storage medium in the inventioneffectively improve the auditing performance of network flow, increase the fault tolerance of the network auditing system, and reduce the probability of network auditing time audit missing.

The invention discloses a text disturbance detection method, a disturbance restoration method and a disturbance processing method and devices, and relates to the technical field of natural language processing. The text disturbance detection method comprises the steps of performing word segmentation on a first text to obtain a first word sequence; obtaining context vector representation of each word of the first word sequence; and detecting disturbance words in the first word sequence according to the context vector representation. According to the invention, the disturbance word in the text isdetected according to the context vector representation, so that text disturbance detection is realized. After the disturbance word is detected, mask processing is carried out on the disturbance word, and a replacement word of the disturbance word is determined by obtaining estimated context vector representation of a mask mark so as to realize text disturbance restoration. Through the text disturbance detection and text disturbance restoration processes, the text disturbance can be effectively eliminated, so that the text auditing effect can be improved.

A maintenance and inspection system integrates at least two software modules including a computerized maintenance management system, an electronic performance support system, forms management system, and video messaging system running on a host sever thus allowing a maintenance and inspection user with complementary software modules the ability to collect and access data and communicate with experts not in the field.

The invention discloses a multi-party security computing implementation method based on a blockchain technology. The method specifically comprises the following steps: step 1, compiling an intelligentcontract, wherein the intelligent contract comprises node information of each contract party, tasks of each contract party for executing the intelligent contract and task execution relationships among the tasks; step 2, publishing the intelligent contract: publishing the intelligent contract on the block chain; 3, determining an executable state: after the intelligent contract is authorized by related nodes of each contract party of the intelligent contract, determining the intelligent contract as the executable state; step 4, executing the intelligent contract, wherein different contract parties have own unique business accounts, log in node servers of nodes through node accounts of the nodes and execute tasks of the intelligent contract on the blockchain; and step 5, carrying out verification and recording of an execution result, wherein the nodes which do not participate in the intelligent contract carry out verification and state recording of the contract execution result. According to the invention, the problems of data security and privacy in the data cooperation process are solved.

The invention relates to the technical field of information security, in particular to a database tamper-proofing method and system based on a trusted computing environment, and the method comprises the steps: S1, receiving data transmitted into the database by adopting a security protocol communication TLS, carrying out the preliminary verification and cleaning of the data, generating a verification key through a trusted computing module TPM, and storing the verification key in a secure storage area of the trusted computing module; s2, loading the verified data into a feasible computing environment TEE to generate an encryption key, and storing the encryption key in an internal storage area of the feasible computing environment TEE; s3, performing integrity verification on the encrypted data in the feasible computing environment TEE; and S4, leaving the checked data from the feasible computing environment TEE through the security protocol communication TLS, and transmitting the checked data to a tamper-proof database for storage. The data processing and storage operation is executed in the trusted computing environment, the integrity and non-tampering property of the operation record are ensured by using the tampering-proof database, and the credibility and safety of the whole data processing and storage system are improved in a combined mode.

The invention relates to a smart contract auditing method and device, a computer device and a storage medium, and relates to the technical field of network security. The method comprises the followingsteps: a server receiving a source code of a smart contract uploaded by an editing terminal; acquiring audit parameters of the smart contract, compiling the source code of the smart contract according to the compiling parameters, performing security problem scanning on the smart contract according to the scanning parameters after the source code of the smart contract is successfully compiled, acquiring a scanning audit result, and returning the scanning audit result to the editing terminal. According to the scheme, the compiling parameters and the scanning parameters of the intelligent contract are obtained at the server side, and the source code of the smart contract is compiled and the security problem is scanned according to the obtained compiling parameter and scanning parameter, thereby realizing scanning of the security problem of the smart contract at the server side, effectively reducing the potential safety hazard of the smart contract, and improving the auditing effect of the smart contract.

The invention discloses a cloud storage self-auditing method based on an SGX and an Ethereum block chain, and the method comprises the steps: public parameters are selected, and a key of an entity is generated; the user preprocesses data to be outsourced to generate an outsourced data packet and generate auxiliary information; the user sends the outsourcing data packet and the auxiliary information to the cloud server, and bidirectional identity authentication is completed between the user and an enclave deployed on the cloud server; the integrity of the outsourcing data packet and the correctness of the auxiliary information are verified, and after verification is passed, the cloud server stores the outsourcing data packet and loads the auxiliary information into the enclave; and according to a preset auditing period, the cloud server reads the random number of the block chain system to generate challenge information, and operates a self-auditing program in the enclave to complete integrity auditing of the sampled data block. According to the method disclosed by the invention, on the premise of not depending on any trusted third-party participant, the data owner is supported to periodically acquire the integrity state of the outsourcing data packet when the resources are limited.

The invention discloses a video auditing method, a video auditing device and electronic equipment, and relates to the technical field of video auditing. The video auditing method comprises the steps: acquiring N image frames of a video to be audited, wherein N is an integer greater than 1; obtaining an inter-frame difference change value of the N image frames, wherein the inter-frame difference change value is used for representing a difference degree between two adjacent image frames; and selecting an image frame corresponding to a target inter-frame difference change value as an auditing frame, wherein the target inter-frame difference change value is an inter-frame difference change value which is not greater than the adjacent inter-frame difference change value in the inter-frame difference change values of the N image frames. According to the method and the device, the inter-frame difference change value of the plurality of image frames of the to-be-audited video is acquired and is used as the basis for selecting the audit frame, so that the selected audit frame has relatively high stability, the video audit effect can be improved, and the problem that the video audit effect is relatively poor in the prior art is solved.

The invention discloses a background live video auditing method, which comprises the following steps that: a user initiates microphone connection, and sends a video, an audio and a video screenshot to a cloud end; machine auditing: performing detection through a picture recognition technology, and actively processing violation; manual auditing: binding a video room with an auditing worker, and then performing auditing by the auditing worker; group leader auditing: enabling the group leader to check the working condition of the auditing worker; and checking the auditing result of the auditing worker in a specified time period through the system, and checking whether misjudgment and misauditing exist or not. The method has the beneficial effects that machine auditing and manual auditing are combined, on one hand, the auditing efficiency is improved through machine auditing, the situation that manual auditing is not timely is avoided, and the labor intensity of manual auditing is reduced; the manual auditing solves the problem that content is difficult to audit through machine auditing; the auditing effect on the auditing content is improved; group leader auditing is mainly used for auditing an auditing result of the manual auditing, so that user actions are misjudged and the user is forced to be offline caused by subjective errors of manual auditing is prevented.

The invention relates to a file auditing method and system and computer equipment, and the method comprises the steps: obtaining a to-be-audited file, inputting the to-be-audited file into a pre-stored recognition model for recognition, and extracting auditing features in the to-be-audited file; based on a preset rule, auditing the auditing features to determine whether the auditing features accord with the preset rule; and when at least part of the audit features in the to-be-audited file meet a first preset condition, generating a processing file based on the at least part of the audit features, and processing the semiconductor structure by using the processing file. The pre-stored recognition model is used for recognizing the to-be-audited file, various features can be rapidly extracted from various different types of files input into the recognition model, then the standard processing file is generated, the auditing efficiency and the auditing precision are improved, and the processing progress and the processing reliability are accelerated.

The invention discloses a medical prescription auditing system and method, and relates to the technical field of medical treatment. The medical prescription auditing system comprises a first databasein which standard prescription information is pre-stored, a second database pre-storing historical treatment information, a storage module used for storing prescription information uploaded by a doctor, an auditing module used for auditing whether the prescription information is compliant, and a processing module used for outputting the final prescription to a distribution module used for distributing the medicines. The technical scheme provided by the invention has the beneficial effects that the requirements of policies are met, the existing electronic prescription circulation path is modified, the medication decision knowledge base is creatively built, the defect of low efficiency during original manual auditing is overcome, the auditing effect on the prescription reasonability is improved, the uniform auditing standard is realized, and the auditing efficiency is improved. Prescription external distribution of Internet hospitals and social pharmacy and prescription auditing in medical association are realized, subsequent prescription commenting work can be carried out, and rules of a medication decision knowledge base are maintained.

The invention discloses a database auditing system and method based on clustering analysis and association rules, and relates to database auditing. The data acquisition probes are used for acquiring and outputting user data and behavior data; the first audit analysis module is used for identifying the user data by the machine learning model to obtain a user portrait, outputting a first analysis result when the user portrait is a normal user, otherwise, outputting a second analysis result; the second audit analysis module is used for matching the behavior data of the first analysis result witha rule base, outputting a third analysis result when matching is carried out, and outputting a fourth analysis result when matching cannot be carried out; the first alarm unit generates first alarm information according to the second analysis result; the second alarm unit generates second alarm information according to the fourth analysis result; and the audit report module generates an audit report according to the third analysis result, the first alarm information and the second alarm information. The performance of the database is improved, a guarantee is provided for safe operation of thedatabase, and real-time auditing and safety detection are achieved.

The invention discloses an intelligent amount and fee auditing method based on an artificial intelligence large model, and the method comprises the steps: S1, carrying out the automatic collection and arrangement of needed data through an intelligent corpus collection technology and a natural language processing technology, and forming a structured and unstructured multi-modal data set; s2, after the multi-modal data set is preprocessed, key features are extracted, and fusion processing is conducted on the multi-modal data set with the key features extracted; s3, through a graph neural network, based on the multi-modal data set, establishing a relation model for the power consumption behavior and the charging relation between the users, and using the relation model to automatically detect and identify the amount and fee abnormity problem; and S4, establishing an auditing rule model, and training the graph neural network output vector and the auditing rule model based on a reinforcement learning method to improve the accuracy of the amount and cost anomaly detection. According to the invention, the problems of insufficient scene adaptability, low data utilization rate and lagging auditing rule and technology update of the existing amount and cost auditing mode are solved.

The invention provides a centralized WLAN auditing method. The centralized WLAN auditing method comprises the following steps: collecting an original data packet, performing recognition processing on the original data packet, and generating a formatted log; storing the formatted log in a storage module; sensing the formatted log stored in the storage module to a cloud auditing platform; and sending a heartbeat signal to the cloud auditing platform, and displaying a working state of a centralized WLAN auditing device. According to the centralized WLAN auditing method provided by the invention, the original deployment structure of the equipment generates no change, the original data are analyzed in the local of the front end of the equipment, and the original data are not uploaded to the cloud auditing platform, thereby greatly reducing the network bandwidth consumed by the auditing data, improving the internet access experience of users and realizing a high auditing effect; and full audit of internet access behaviors of terminal users is accomplished on the front end equipment, the audited data are directly transmitted to the cloud auditing platform, and the cloud auditing platform transmits the audited data to a third party management system.

The invention provides a map continuous region auditing method and device, electronic equipment and a storage medium. The map continuous area auditing method comprises the steps that a to-be-audited map is acquired, horizontal boundary data of the to-be-audited map are extracted, and the horizontal boundary data are used for distinguishing auditing areas of the to-be-audited map; after the to-be-detected area is positioned according to the horizontal boundary data, carrying out space detection on the to-be-detected area to obtain a plurality of target spaces; and determining an audit result of the to-be-audited map according to the adjacent information of the plurality of target spaces. The method is used for improving the auditing effect for the continuous region.

The invention belongs to the technical field of data processing, and discloses a data encryption method and system compatible with a bypass audit expansion main secret key, and a terminal. And on the basis of analyzing standard TLS protocol data, calculating a main key in an extended key calculation mode, deducing a symmetric key according to the main key, and decrypting subsequent encrypted traffic by using the symmetric key. And a symmetric key derivation method in a general main key calculation mode of the TLS is integrated to realize decryption and auditing of the TLS encrypted database traffic in a non-forward security encryption suite configuration item. According to the TLS traffic decryption method under the non-forward security encryption suite, the decrypted plaintext is transmitted to the protocol analysis module, SQL statement auditing and standardized output are achieved, and the auditing capability of a database auditing system is effectively expanded.

This application relates to the technical field of data processing systems or methods specially applicable to the financial field, and discloses an audit system and equipment based on risk factors, including: the collection module obtains the financial statements of the enterprise, the type of main business, and the financial statements contained in the financial statements The processing module determines the corresponding business data according to the fund change information, selects the corresponding risk factor set from the pre-stored risk factor database according to the main business type, and judges whether there is any relationship between the risk factor set and the business based on the business data. The risk factor corresponding to the data; if it exists, list the documents to be proved according to the risk factor, and select the corresponding witnesses; build the first audit process; if it does not exist, expand the variable according to the risk orientation corresponding to the business data, and list it in the enterprise personnel structure list Select the corresponding business personnel, obtain the risk rating of the business personnel, and mark the risk rating in the fund change information corresponding to the business personnel.

The invention discloses an intelligent health privacy protection system, and relates to the technical field of privacy protection, in particular to an intelligent health privacy protection system which comprises an intelligent health data preprocessing module. The output end of the intelligent health data preprocessing module is electrically connected with an intelligent health data security auditmodule, an intelligent health data security query module and an intelligent health data security calculation module. The output ends of the intelligent health data security auditing module, the intelligent health data security query module and the intelligent health data security calculation module are electrically connected with a system implementation module. According to the intelligent healthprivacy protection system, safety calculation of the intelligent health data with privacy protection has data confidentiality, and the safety calculation of the intelligent health data with privacy protection must ensure that intelligent health data information and a safety calculation result are not leaked; results of correctness and safety calculation must be correct; and results must be obtained in reasonable time for efficiency and safety calculation.

The invention discloses a fast audit method for cloud storage data, including: Step S1. The key generation center selects system public parameters, and generates the user's signature public-private key pair and the enclave's signature public-private key pair; Step S2. The user pairs The original data is preprocessed to generate an outsourced data set, and auxiliary information is calculated, and the outsourced data set and auxiliary information are sent to the cloud server, and two-way identity authentication is completed with the enclave; step S3. Based on the Ethereum blockchain network, the smart contract is based on The preset audit cycle generates challenge information and sends the challenge information to the cloud server; Step S4. After receiving the challenge information, the cloud server runs the self-audit program in the enclave to output the audit certificate; Step S5. Smart contract verification audit Prove and output the verification result. The invention can resist the replacement attack and forgery attack of the malicious cloud server without introducing a trusted third party.

The invention provides a graph and model based method for realizing distribution network device difference process comparison. In a distribution network, a graph is based on an svg graphic format, and a model file is based on an xml format; and graphic topologies in the distribution network are connection relationships between graphic elements in the svg graph, and the graphic elements represent a device. The method specifically comprises: opening the graph in the distribution network; extracting the graphic topologies; querying a distribution network database to obtain model topologies corresponding to the opened graph; comparing the graphic topologies and the model topologies of the device one by one; judging whether the graphic topologies and the model topologies of the device are same or not; if so, not performing operation and accepting a process; or otherwise, listing differences of the graphic topologies and the model topologies of the device, and performing artificial verification. According to the method, the check effect of the graph and the model is improved; the check process is standardized; and the check efficiency is improved and the labor cost is reduced.

The invention provides an auditing model training method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large models and the like. According to the specific implementation scheme, multiple pieces of initial text data are obtained; predicting the probability that each piece of initial text data is in a preset category through a first reference auditing model to obtain first probability information, and predicting the probability that each piece of initial text data is in the preset category through a second reference auditing model to obtain second probability information, a first evaluation index of the first reference auditing model is different from a second evaluation index of the second reference auditing model; according to the first probability information and the second probability information, a sample text data set is determined, and the sample text data set comprises at least one piece of initial text data; and training the initial auditing model according to the sample text data set to obtain a target auditing model. Therefore, the comprehensive auditing capability of the obtained target auditing model can be effectively improved.

The invention provides a multi-landform map auditing interaction method and device, electronic equipment and a storage medium. The multi-landform map auditing interaction method comprises the following steps: acquiring a to-be-audited target map, and dividing the to-be-audited target map into a plurality of auditing areas; based on the landform type of the auditing area, setting an interaction mode of a virtual role, the virtual role being used for moving in the to-be-audited target map; in response to a control instruction for controlling the virtual character to move, controlling the virtual character to move in each auditing area according to the interaction mode; and in the moving process of the virtual character, receiving an auditing result aiming at the auditing area. The method is used for improving the auditing effect and auditing efficiency of the multi-landform map.

The invention discloses a man-machine cooperation intelligent auditing analysis method for incomplete data, and belongs to a core method in a digital auditing process. The method mainly comprises eight steps which are respectively completed by auditing personnel and a computer and sequentially comprise the following steps: constructing an auditing knowledge graph, integrating and preparing data, determining an auditing theme, generating an auditing model, generating a doubtful point list and calculating a compliance probability, confirming doubtful points and manually checking, additionally recording missing data or checking a conclusion and generating an auditing manuscript. According to the method, the limitation that the auditing cannot be carried out for incomplete data in the existing digital auditing technology is broken through, the compliance probability of the auditing point can be calculated through the current existing data, and auditing personnel are helped to determine the importance of doubtful points. After the auditor completes data additional recording, the auditing model can perform a new round of fuzzy matching and output a result, a progressive iteration type auditing point study and judgment process is formed, powerful reference is provided for the auditor to quickly identify and position problem points, and the auditor is assisted in performing compliance check.