15 results about "Trade secret" patented technology

The invention relates to the technical field of commercial secret evidence supervision, and discloses a commercial secret evidence supervision management system. Comprising a user identity authentication module for verifying the identity of a user, a confidential personnel management module for signing entry, on-duty and demission files of confidential personnel, evidence storage management of the signed files and tracking management of personnel after demission, and a confidential carrier and / or confidential area management module for evidence storage management of confidential carrier and / or confidential area information. The secret-related business activity information management module is used for secret-related business activity information evidence storage management and continuous evidence storage; and the supervision management module is used for performing step-by-step auditing on secret-related files after evidence storage. And continuous evidence storage supervision management can be efficiently and reliably carried out on the commercial secrets.

A security and compliance platform ingests content from heterogeneous collaboration platforms and processes the content to detect potential regulatory, privacy, and security risks in the conversations. One of the detections that can be applied is the identification of application windows appearing during a collaboration screen share. Because these applications may contain sensitive personally identifiable information (PII), technical trade secrets, or highly confidential corporate information, there is meaningful utility in identifying instances when these applications are shared. If applications shared on screen is detected, a corresponding workflow action may be implemented, for example flagging a session for further analysis in a review screen of the security and compliance platform.

This invention discloses a privacy-preserving distributed collaborative auditing system and method based on blockchain and federated graph neural networks. The invention proposes a decentralized collaborative auditing architecture. First, local graph neural networks deployed on each audit node extract transaction subgraph features. Without sharing original data, a global audit anomaly detection model is collaboratively trained using a reputation-weighted federated learning algorithm. Second, a hybrid consensus mechanism combining dynamic proof-of-stake and reputation values ​​is employed to complete the on-chain recording of audit logs and the verification of model parameters. Finally, zero-knowledge proof technology is used to verify the authenticity of cross-institutional transactions while protecting trade secrets. This invention achieves the usability without visibility of audit data, significantly improving the ability to identify complex risks such as fraud and money laundering in cross-institutional related transactions and enhancing the credibility of audit results while ensuring data privacy and security.

The invention relates to the technical field of information security, and discloses a business secret evidence storage method. The method comprises the steps of constructing a confidential environment to generate encrypted documents, constructing a multi-level project management structure and a permission hierarchy for managing the encrypted documents, collecting all the encrypted documents and corresponding operation logs based on a structured work order, calculating respective corresponding hash values, and performing mail management. And performing conference management and regularly and incrementally uploading the hash values of all the encrypted documents, the hash values of the operation logs corresponding to all the encrypted documents and the hash values of the conference records to a block chain evidence storage platform. According to the application, ordered organization and accurate authority control of commercial secrets are realized based on construction of a multi-level project management structure, data are ensured to be timely, complete and non-tampered, a clear track is provided for infringement tracing, right protection is facilitated, data leakage is prevented, and judicial secrecy requirements are met; through block chain evidence storage and multi-dimensional evidence packet generation, data authenticity and evidence integrity are ensured, and infringement disputes can be quickly dealt with.

The invention relates to the technical field of electronic signature systems, and particularly discloses an electronic contract signing system which comprises a server, a sending end, a signing end, an instruction verification module, an information authorization module, a signature management module and a text synthesis module. The instruction verification module is used for identifying whether the information of contract signing parties is correct; if yes, the sending end identity information is displayed to the signing end; the information authorization module is used for sending a template of the electronic contract to the contract generation unit after the sending end receives the identity information; the signature management module is used for calling a corresponding electronic signature according to the identity information of the signature end; and the text synthesis module is used for generating a corresponding target contract, sending the identity information of the signing end and the target contract to the sending end, and storing the target contract information in the server. According to the scheme, the problem that when an electronic contract related to a commercial secret is signed in an existing enterprise, confidential content related to the commercial secret is not suitable for being signed on a third-party electronic contract platform, and consequently the signing and management difficulty of the contract related to the commercial secret is high can be solved.

Method and system of organizing and processing data in a distributed computing system having designated, distributed data stores for sensitive content (e.g., trade secrets) or select content (e.g., critical content). Sensitive / select data is extracted via configurable filters and stored in the designated data stores, sometimes subject to security controls, with limiting distribution functions and controlled release of the sensitive / select data. Distribution is limited due to designated, configurable filters.

This application relates to the field of information security technology and discloses a method for preserving trade secrets. The method includes constructing a confidential environment to generate encrypted documents; constructing a multi-level project management structure and permission hierarchy for managing encrypted documents; collecting all encrypted documents and corresponding operation logs based on structured orders and calculating their respective hash values; managing emails; managing meetings; and periodically and incrementally uploading the hash values ​​of all encrypted documents, the hash values ​​of the operation logs corresponding to all encrypted documents, and the hash values ​​of meeting minutes to a blockchain-based evidence preservation platform. This application, based on the construction of a multi-level project management structure, achieves orderly organization and precise permission control of trade secrets, ensuring timely, complete, and tamper-proof data, providing a clear trajectory for infringement tracing, facilitating rights protection, preventing data leakage, and meeting judicial confidentiality requirements. Blockchain evidence preservation and the generation of multi-dimensional evidence packages ensure data authenticity and evidence integrity, enabling rapid response to infringement disputes.

A method for recognizing within a text document data that represents a trade secret includes segmenting text data into sentences, tokenizing the text data, adding a special token before each sentence, vectorizing said tokens, processing vector representations of the tokens using a neural network-based machine learning model trained on datasets containing a trade secret, and labelling a document containing a trade secret with a label indicating the presence of a trade secret. The technical result is that of providing more accurate recognition of data containing a trade secret.

A system is provided.SOLUTION: A system including means for collecting data from a database or an external API in order to acquire data to be collected, means for normalizing the collected data, unifying a format of the data, and complementing a missing value, means for detecting personal information from the normalized data, means for detecting a trade secret included in the data, means for evaluating whether or not there is a bias in the collected data, means for generating a report based on a result of the evaluation, and means for notifying a user of the generated report.SELECTED DRAWING: Figure 1

The invention discloses a multi-agent collaborative test report automatic quality control method and system. The method comprises the following steps: carrying out privacy cleaning on an original test report through a front sensitive information desensitization module; extracting basic information by using an information checking agent; distributing the desensitized text and the basic information to each professional auditing agent in parallel for multi-dimensional independent auditing; and summarizing audit results to generate a first draft and formatting the first draft into a standardized quality control report. The risk of leakage of commercial confidentials is effectively prevented through the front desensitization module, efficient automatic quality control is achieved through multi-agent parallel and document driving mechanisms, the checking efficiency and quality of toxicological test reports are remarkably improved, and the safety of core commercial confidentials is guaranteed.

The present invention discloses a method for analyzing leakage points of trade secret protection, comprising the following steps: investigating and obtaining data assets involved in employees of each department; putting data of the data assets into a database; investigating the data asset circulation rules of the departments, integrating the data of employees of different departments into basic data tables, adding labels to each data table, and performing replacement processing on the data; performing association processing on the data tables according to the circulation rules to obtain different data association tables; extracting data from different data association tables, and performing difference analysis with each secret protection unit; making a leakage point analysis report; through the analysis method of the present invention, with the help of conventional tools, many leakage risk points hidden in seemingly reasonable business processes can be excavated to achieve comprehensive trade secret protection; through data replacement, with the help of conventional analysis tools, the leakage prevention of trade secrets in the analysis and processing process can be achieved.

The present invention relates to a method and system for sharing process steps. A basic process library including multiple independent process steps is constructed; a private process library based on projects is constructed, and the private process library includes several processes, and the process steps of the processes are allowed to be configured for sharing; several required process steps are obtained through query in a privacy protection manner; a process flow is formed based on the several required process steps. The present invention shares independent process steps in different projects in a privacy protection manner on the premise of protecting trade secrets. On the one hand, it avoids disclosing the trade secrets and privacy information of the process provider, and on the other hand, it avoids disclosing the privacy information of the querying party and uses the existing process steps to establish its own process library while protecting trade secrets. Each project can make full use of the ready-made process steps in other projects, avoid repeated research and development, repeated experiments, directly utilize the results, improve efficiency, and reduce development costs.

The present invention relates to the field of chip data analysis technology, specifically to a commercial secret capability detection method and system for an FPGA chip, comprising the following steps: based on random data collected in real time during key generation, statistically processing the collected random data, calculating the entropy value of the information bit according to the probability distribution, and generating an entropy value distribution result. The present invention performs statistical processing and probability distribution analysis through real-time collected random voltage fluctuations, clock jitter, thermal noise and other data, and further dynamically adjusts the entropy value and the insertion frequency and position of the interference signal to achieve real-time security protection in a commercial secret environment. By detecting the entropy value fluctuation characteristics within a specified period of time, the insertion parameters of potential interference signals can be effectively identified. By optimizing the intensity and timing distribution of the interference signal, key signal characteristics such as power consumption and electromagnetic radiation are concealed, making it more difficult to obtain information during commercial secret operations through side channel analysis.

1. Name of this design product: A confidentiality level setting module for a graphical user interface for setting document confidentiality levels in an electronic device. 2. Purpose of this design product: This design product is used for an electronic device. 3. The key design point of this design product lies in the confidentiality level setting module of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: The interface is mainly used as an interactive interface for setting and managing the level of trade secrets in documents. The local appearance of the interface is used as an operational interaction module for setting document classification levels. The main view interface is displayed as the initial interface. Click the "Whether to include sensitive information" setting box in the confidentiality setting module above the main view interface, and the interface will be displayed as shown in Figure 1. Click the "Do not include sensitive information" option in the interface change state diagram 1, and the interface will be displayed as the interface change state diagram 2. Click the "Please select document level" setting box in the interface change status diagram 2, and the interface will be displayed as the interface change status diagram 3. Click the "Level 3 Document" option in the interface change status diagram 3, and the interface will be displayed as shown in the interface change status diagram 4. Then click the "Save" button to complete the document classification setting. 6. Other circumstances that require explanation: This design is a partial design. The partial design for which protection is requested is the confidentiality setting module shown in the non-purple covered area in the view. The design shown in the purple covered area in the view is not required to be protected. The design for which protection is sought does not include colour. The main view interface reference image is used to reflect the display effect before the main view interface is covered, and is used to better distinguish the local parts that require protection.

This invention relates to a system and method for protecting trade secrets in electronic documents. The system includes: an electronic document acquisition subsystem for scanning multiple documents from one or more data sources and establishing a document index; an electronic document parsing subsystem for parsing the multiple documents in the document index and adding one or more tags to all or some of the documents; a trade secret identification subsystem configured to identify confidential documents from the tagged documents using a trade secret identification model and generate confidentiality descriptions for the confidential documents; and a trade secret processing subsystem for performing at least one or more of the following processes on the confidential documents: confidentiality classification, grading, non-publicity assessment, commercial value assessment, confidentiality assessment, generating a list of confidential documents, evidence storage, and constructing a confidentiality system scheme. This invention provides fast and accurate processing, improving management efficiency and effectiveness.