76 results about "Reverse engineering" patented technology

The invention relates to the technical field of information security, in particular to a user information protection method and device based on a dynamic desensitization strategy, and the method comprises the steps: determining sensitive data and a sensitivity score thereof through a named entity recognition model and a sensitivity scoring algorithm, extracting scene parameters, and determining a scene risk score through a risk quantification algorithm; and then a dynamic desensitization strategy generation algorithm is called to generate a target desensitization strategy, and finally, the strategy is used for desensitization and a reversible desensitization data identifier is generated. Through the series of steps, the desensitization strategy is dynamically generated according to different use scenes, the problem of scene adaptability deficiency caused by static desensitization strategy stiffness is solved, meanwhile, the reversible desensitization reduces the security risk caused by reverse cracking of rules, excessive desensitization is avoided, and the data availability is improved.

The invention relates to the field of computer graphics, reverse engineering and additive manufacturing, discloses a multi-modal fusion and physical constraint three-dimensional point cloud geometric modeling system and method, and aims at overcoming the defects that traditional three-dimensional reconstruction entity attributes are missing, key features are prone to being lost, semantic understanding does not exist, and process automation is low. The system comprises a point cloud preprocessing module, a semantic segmentation and recognition module, a mixed geometric reconstruction module, a multi-component assembly and physical constraint solution module and an entity model output module. The method comprises the following steps: denoising and sampling an original point cloud, realizing semantic and instance double segmentation through a Point Net + + network, endowing a geometry-function composite label, completing hybrid reconstruction through improved Poisson reconstruction, parameterized B-Rep fitting and standard component library matching, and outputting a multi-format engineering available model after physical constraint verification and automatic correction of a violation model. According to the method, automatic, high-fidelity and high-practicability conversion from the point cloud to the engineering-level entity model is realized, and the method is adaptive to multiple industrial application scenes.

The invention discloses a quantitative analysis method and system for the productivity loss of a mobile production line. The method comprises the following steps: firstly, collecting the real-time state and production takt time sequence data of production line equipment; the standard beat ICT of each device is calculated based on the beat data, the actual capacity is calculated by comparing the ICT or integrating the available time and the fault and material shortage duration, and the design bottleneck device and the actual bottleneck device are dynamically recognized; taking bottleneck equipment as a core, counting the total duration of various abnormal states, and quantitatively calculating the total capacity loss quantity of a production line; and performing time sequence backward deduction and logic matching on the external exception of the bottleneck equipment, and tracing and positioning to upstream or downstream source equipment and specific exception events which cause the exception. The system comprises a data acquisition module, a processing analysis module and a result output module for realizing the functions. Accurate quantification, dynamic bottleneck identification and root cause automatic tracing of capacity loss are realized, and data-driven decision support is provided for accurate operation and maintenance and efficiency improvement of a production line.

The invention provides a key node identification method and device in an industrial control system, equipment and a medium. The key node identification method comprises the steps of performing reverse analysis on firmware codes of control equipment to obtain a control logic configuration file; disassembling the control software firmware code to obtain a software disassembling code; performing code labeling, code slicing and code translation on the software disassembly code to obtain a class C pseudo code; performing code analysis on the class C pseudo code to obtain a software structure configuration file; performing file analysis on the control logic configuration file and the software structure configuration file to obtain a service logic relationship between the control equipment and the control software and a service logic relationship between the control equipment and the field equipment; constructing a business logic map based on the business logic relationship between the control equipment and the control software and the business logic relationship between the control equipment and the field equipment; and identifying a key control link in the service logic map, and carrying out key node positioning on the key control link. Therefore, key nodes are effectively positioned.

The invention discloses a Java decompiling method, device and equipment and a computer readable storage medium. The method comprises the following steps: extracting a class file, a resource file, a configuration file and a static resource by decompressing a Java deployment package; based on a predefined third-party library feature library, utilizing Hash comparison and package name / method signature feature matching to accurately classify the class file into a third-party library or a self-researched code; performing byte code analysis on the self-developed class file to generate structured data, and inputting the structured data into a customized large language model (based on byte code-source code parallel corpus training) to generate an initial source code; the optimization step comprises the steps of correcting errors by a static grammar checker and automatically supplementing annotations by a byte code constant pool; reconstructing a project directory structure based on the package name; a class dependency graph is generated through static call graph analysis; and finally, integrating the initial source code, the dependency graph and the configuration file, automatically generating an interface document, a framework document and a configuration document, and realizing complete reverse engineering of the deployment package.

The invention belongs to the technical field of computer vision, three-dimensional reconstruction, scene perception and algorithm design, and discloses a three-dimensional reconstruction generation method and device for a complex scene. The invention discloses a three-dimensional reconstruction generation method for a complex scene. A transparent and reflecting object detection module, a three-dimensional reconstruction refined generation module and a next scanning site prediction module are included. The invention discloses a three-dimensional scanning device for a complex scene. The three-dimensional scanning device comprises an RGB image acquisition unit and a polarization camera, according to the method, high-quality, high-efficiency and high-autonomy three-dimensional reconstruction of transparent and reflective objects and complex shielding scenes is realized, and the method can be widely applied to the fields of industrial detection, cultural relic protection, reverse engineering and the like.

This invention discloses a heat dissipation management method and system for power tools, relating to the field of heat dissipation management technology. The method includes: receiving production task assignments, performing reverse engineering of tool operating conditions to obtain target operating conditions; obtaining multiple distributed temperature thresholds for multiple temperature control zones; pre-constructing a distributed temperature prediction model to predict multiple production temperature change sequences for the target operating conditions; traversing multiple production temperature change sequences to obtain multiple tool overheating time zone sequences; obtaining a water-cooled heat dissipation architecture for the temperature-controlled power tool; fitting the multiple tool overheating time zone sequences to the water-cooled heat dissipation architecture for coolant circulation analysis; outputting heat dissipation timing control parameters; and controlling the circulation of coolant in the water-cooled heat dissipation architecture. This invention solves the technical problem of low heat dissipation efficiency in existing technologies due to the inability to accurately adjust based on real-time temperature changes of various key components of power tools, thereby improving the heat dissipation efficiency of power tools.

The embodiment of the invention provides a reverse engineering code generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining target field position information determined by a user through a reverse engineering code generation page which is a graphical user interface; obtaining a target field according to the target field position information; and generating a reverse engineering code according to the target field and a preset template. In the embodiment of the invention, a graphical user interface is provided for a user, the user can intuitively select a target field participating in reverse engineering, and specifically, the target field is determined by finely selecting a database and a table, so that diversified data compatibility and multi-table selection refinement can be ensured; moreover, according to the embodiment of the invention, the reverse engineering code is quickly generated through the preset template, and the preset template can cover a Controller layer, a Service layer, a Mapper layer, an Entity layer and the like, so that the user operation is simplified; and the preset template can be correspondingly changed according to the user demand, so that the personalized demand of the user on the code style is met.

The application discloses a kind of software protection system and method based on multidimensional coding, belong to software security technical field.System includes: multidimensional coding conversion module, multilayer obfuscated encryption module, runtime dynamic checking module, tamper self-destruction module, rule anchoring module.Multidimensional coding conversion module is converted into multinary coding with binary machine code;Multilayer obfuscated encryption module is based on preset obfuscated rule and carries out multilayer obfuscation to coding;Runtime dynamic checking module checks code integrity and running environment legality in real time;Tamper self-destruction module triggers self-destruction mechanism when detecting exception.The application fundamentally improves the strength of software anti-reverse engineering, and is suitable for the intellectual property protection of core software, algorithm, firmware.

The invention discloses an application data management method and device, equipment, a medium and a program product, and relates to the technical field of computers. The method comprises the following steps: in a process of compiling an application source code, encrypting an original text key according to an encryption strategy corresponding to annotation information to obtain a ciphertext key; after the application source code compilation is finished, compiled codes are obtained; in the process of running the first application based on the compiled code, decrypting the ciphertext key to obtain an original text key; encrypting to-be-encrypted data in the first application based on the original text key to obtain ciphertext data; or decrypting the to-be-decrypted data in the first application based on the original text key to obtain the original text data. Due to the fact that the compiled code replaces the original text key by importing the ciphertext key, the compiled code cannot be obtained through reverse engineering to be analyzed to obtain the original text key, the leakage risk of the original text key is greatly reduced, the encrypted application data cannot be decrypted through the original text key, and the safety of the application data is improved.

The application discloses an automatic testing method based on reverse engineering control extraction technology, and relates to the field of software automatic testing, and comprises the following steps: S1, a technical framework of the software to be tested is recognized through static analysis; S2, control distribution, attributes and hierarchical relationships of the software to be tested are recognized through dynamic analysis; S3, an interactive interface of a test analysis monitoring dynamic link library and a test tool is defined; and S4, test cases are applied, and automatic testing is performed; the application can be applied to various desktop application programs under Windows and Linux systems; in the automatic testing process, a tester does not need to manually establish a control mapping relationship, only needs to automatically position the control by the test tool, does not need to simulate mouse and keyboard input, only needs to apply different test cases to different controls, and directly operates on a memory layer of the control by the tool, so that the test target is efficiently completed.

Most of the existing production applications in different domains are still running on. Mainframe applications in production receive data from various resources and process these data within. Understanding the structure of input data and output data is extremely important. A method and system for machine learning based understanding of a plurality of data elements in a mainframe program code has been provided. The method discloses a machine learning model that understands the structure of data elements in a Mainframe program code. The model considered is a graph neural network based architecture model. The disclosed method replicates memory mapping happening in the application program environment. The method understands the structure of the data element and the impact created by each data element on other data elements in the application and interfacing applications. The disclosed solution serves as a building block in problems such as code translation, reverse engineering etc.

This invention discloses a method, system, and terminal device for reverse engineering on-chip RF spiral inductors, relating to the field of RF integrated circuit auxiliary design technology. The invention includes: constructing an inductor database containing the mapping relationship between geometric structural parameters and S-parameters; building a forward surrogate model based on the Transformer architecture, introducing reciprocity and passive physical constraint loss functions, and training the model using a low-frequency weighting strategy to establish a high-precision mapping from geometric parameters to S-parameters; constructing a cascaded reverse neural network, using the fixed-parameter forward surrogate model to calculate the reconstruction error to update the reverse network weights; and in the design phase, employing a hybrid optimization strategy coupling differential evolution algorithm and the forward surrogate model, using the output of the reverse network as the initial population, searching in the global space for geometric parameters that satisfy the target inductance value and quality factor. This invention solves the problems of long simulation time in traditional inductor design and the existence of multi-value mapping and poor physical consistency in reverse engineering.

A radar cover uniform variable thickness inner surface modeling method based on finite element grid thickness mapping, comprising: obtaining the thickness-coordinate discrete point set of the radar cover outer shape surface and at least two main sections; fitting to obtain the thickness distribution function of each main section; performing finite element triangular grid division on the outer shape surface to obtain the center point coordinates and normal vector of each unit; according to the center point spatial coordinates and the thickness distribution function, interpolating to calculate the design thickness value of the point; offsetting the design thickness value along the unit normal direction to generate the three-dimensional point cloud corresponding to the inner surface; and finally reconstructing the continuous and smooth inner surface curve through reverse engineering. The present application ensures that the actual wall thickness is highly consistent with the design thickness through three-dimensional normal offset, avoiding the normal error of the traditional two-dimensional section method; based on the point cloud reverse reconstruction, the G1 / G2 continuous high-quality inner surface can be obtained, significantly improving the modeling accuracy and efficiency, and being suitable for the digital modeling of various complex variable thickness radar covers.

The embodiment of the invention provides a code protection method, electronic equipment and a storage medium, and the method comprises the steps: analyzing a preset program, and determining a target code in the preset program; designing a custom instruction based on the target code; and adjusting a tool chain based on the custom instruction, and generating an executable file corresponding to the target code based on the adjusted tool chain. According to the embodiment of the invention, by designing the custom instruction of the key code, the difficulty of reverse engineering of the code is increased, so that the source code is effectively protected, and key confidential information in the code is prevented from being leaked.

The application relates to a machine vision-based intelligent identification and splitting and warehousing method and device for auxiliary materials. The method comprises the following steps: based on a multi-view vision imaging three-dimensional model rapid generation algorithm, image acquisition and laser scanning of palletized auxiliary materials are carried out through machine vision to generate a three-dimensional model of the palletized auxiliary materials; based on a multi-dimensional feature point extraction algorithm, multi-dimensional feature extraction is carried out on the three-dimensional model of the palletized auxiliary materials through peripheral video scanning to generate auxiliary material feature points, and based on this, a multi-dimensional model is generated by assigning a digital label to a single material; based on a reverse engineering artificial intelligence algorithm, a single material model is generated by splitting the single material based on the multi-dimensional model; and based on the single material model, the single material is grabbed and sorted through a logistics sorting module to complete the intelligent identification, splitting and warehousing of the auxiliary materials. Through accurate identification and recognition of the palletized auxiliary materials, the application realizes single material splitting and analysis of the palletized auxiliary materials, and based on this, accurate grabbing, sorting and intelligent identification and warehousing of the auxiliary materials are completed.

The application belongs to the technical field of computer vision, three-dimensional reconstruction, scene perception and algorithm design, and discloses a three-dimensional reconstruction generative method and device for a complex scene.A three-dimensional reconstruction generative method for a complex scene includes a transparent and reflective object detection module, a three-dimensional reconstruction refinement generation module and a next scanning station prediction module.A three-dimensional scanning device for a complex scene includes an RGB image acquisition unit and a polarization camera.The application realizes high-quality, high-efficiency and high-autonomy three-dimensional reconstruction for a complex scene containing transparent, reflective objects and complex occlusion scenes, and can be widely applied to the fields of industrial detection, cultural relic protection, reverse engineering and the like.

The application discloses a kind of topological structure keeping point cloud structured wireframe construction methods, first to input point cloud data is carried out neighborhood feature calculation, by constructing neighborhood point set and calculating covariance matrix, its eigenvalue decomposition obtains curvature and other geometric features;Then based on the feature information extraction candidate line structure point cloud, and are voxelized to obtain initial wireframe structure;Finally, initial wireframe structure is handled, including non-feature hanging edge deletion and structure regularization, wherein structure regularization includes line structure straightening and corner structure optimization, to obtain stable structured wireframe result.The method can effectively improve the accuracy of linear structure extraction in complex scene, structural integrity and geometric stability, characterized by extracting the wireframe geometry of discrete point cloud and topological structure, suitable for CAD modeling, mechanical manufacturing, reverse engineering and three-dimensional modeling etc.

The invention discloses a compiled binary code recognition method based on a graph network. The method comprises the following steps: acquiring a compiled binary code to be identified in a control system, performing decompilation to obtain a decompiled pseudo code and inheritance relationships of various types in the decompiled pseudo code, and constructing a member function table; constructing a software variable relation table based on the relation between the software variables of the classes; based on the software variable relation table, constructing a directed subgraph of the member function; aggregating the directed sub-graphs into a class level general graph according to the calling relationship; and performing variable semantic inference based on the class hierarchy general graph, and identifying the type and semantics of the compiled binary code so as to determine the function of the compiled binary code in the control system. According to the method, the directed subgraph and the class level general graph of the decompilation pseudo-code can be automatically constructed, then variable type semantic inference is carried out based on a graph network structure, the decompilation pseudo-code recognition problem can be systematically solved, and therefore more efficient and accurate technical support is provided for robot reverse engineering and software analysis.

This application relates to the fields of artificial intelligence security and software copyright protection technology, and discloses a method and system for the encrypted deployment and operation control of large models. The method includes: loading an encrypted large language model file on the deployment end and starting a model inference service; executing parallel environment monitoring tasks during the operation of the model inference service to verify the matching status of the current operating environment with preset authorization conditions in real time; when the verification matching status is abnormal, maintaining the process running state of the model inference service and its interface response capability to external requests, while switching the operating mode to a controlled interference mode; in the controlled interference mode, intercepting intermediate probability distribution data during the model inference calculation process and executing a computational perturbation strategy to disrupt the semantic logic of the model-generated content, thereby achieving implicit degradation of the output results. This application significantly improves the concealment and resistance to reverse engineering of the authorization protection mechanism.

The application discloses a kind of SCA-SAT synergistic effect realizes formal verification method of optimized multiplier, include: reverse engineering algorithm systematically from optimized multiplier restores adder tree;2) constraint satisfaction algorithm is only used by adder through constraint condition to complete the generation of reference multiplier;3) the verification method based on SCA and SAT combines the complementary advantages of SCA and SAT.In the foregoing verification framework, the application introduces a benchmark multiplier generator, which is used to generate a correct benchmark multiplier that has both similar structure to the optimized multiplier and clear adder boundaries.Clear adder boundaries enable the use of SCA-based verification to prove its correctness.Using the structural similarity of the benchmark multiplier and the optimized multiplier, the benchmark multiplier is then used as a known correct model for SAT-based verification of the optimized multiplier.

The invention discloses a three-dimensional implicit field reconstruction method based on Manhattan constraint stretching rotation primitive fusion, and belongs to the technical field of computer graphics, three-dimensional modeling and reverse engineering. The method comprises the following steps: normalizing voxel data and spatial sampling data of a target three-dimensional object, and sending the normalized voxel data and spatial sampling data into a feature coding network to obtain deep features representing geometric distribution; constraining the stretching direction and the rotation axis direction to be aligned with the three spindles based on the Manhattan hypothesis; predicting the center, the extension length or the rotation range of the stretching / rotation primitive and the implicit representation of the corresponding sketch in parallel according to the features; micro-expanding each sketch implicit field into a three-dimensional SDF along a main axis, and integrating the three-dimensional SDF into a complete implicit field through Boolean operation, multi-scale fusion or weighted combination; and obtaining a three-dimensional surface of the target object by using a contour surface extraction algorithm to finish reconstruction. According to the method, the direction estimation robustness, the structural consistency and the anti-noise performance are remarkably improved, and the method is superior to the prior art in medium-high-precision reconstruction of a regular artificial object.

This invention provides a WebAssembly model protection system for browser-based secure inference. The system, through the collaborative work of a model parsing and storage module, a model conversion and compilation module, a security enhancement module, and a front-end API generation module, converts model files from different machine learning training frameworks into WebAssembly model files that can run independently in the browser. During the conversion process, it integrates and encapsulates model structure information, model weight information, and model computation logic, and enhances their security, achieving comprehensive security protection for the front-end model. This invention, by integrating model format conversion, WebAssembly compilation, and customized obfuscation technologies, constructs a highly secure and practical Web model protection system, significantly improving the resistance to reverse engineering of Web machine learning models, effectively preventing model theft and tampering risks, and is suitable for the secure deployment of AI applications on various browsers.

This invention discloses a method for training a large-scale reverse engineering model for malware analysis based on artificial intelligence, relating to the field of malware analysis technology. The method includes: assigning unified closed-loop identifiers to closed-loop source samples in a closed-loop source sample library for malicious behavior and vulnerability exploitation; generating closed-loop aligned intermediate representations; constructing shadow execution control samples based on a shadow redirection mechanism to obtain effective closed-loop aligned intermediate representations and corresponding shadow execution control samples; inputting the effective closed-loop aligned intermediate representations and corresponding shadow execution control samples into a dedicated training architecture, sequentially performing closed-loop consistency pre-training, supervised fine-tuning, and closed-loop evidence distillation processes to obtain a dedicated large-scale model for reverse engineering; performing reverse processing on the target sample to be tested to generate closed-loop aligned intermediate representations, inputting these representations into the dedicated large-scale model for reverse engineering, outputting structured analysis results, and writing the structured analysis results, which have undergone closed-loop integrity verification, into a security knowledge base.

A method for three-dimensional reconstruction and parameter measurement of complex geometric bodies based on structural constraints. By introducing structural prior information in the modeling stage, the geometric constraints are converted into functional dependence between parameters, and combined with continuous and differentiable implicit representation, high-precision reconstruction and stable parameter optimization of complex structure targets are realized. In the presence of noise, local missing or uneven sampling of point cloud data, stable reconstruction and size parameter measurement of complex structure geometric bodies can be achieved. The output parameterized model has structural constraint relationship and can be widely used in precision measurement, industrial detection, reverse engineering modeling and digital manufacturing.

The invention relates to the technical field of database reverse engineering, in particular to a database table structure reverse engineering code generation method and system, and aims to solve the problems of repeated labor, different styles, poor adaptability, high technical stack coupling and the like of manual writing from a MySQL table to Java full-layer codes. According to the method, database receiving, table selection, output and technical stack adaptation configuration are carried out; providing a preset template library and a user-defined template; the MySQL metadata are analyzed, and field type mapping is achieved; the metadata and the template placeholders are bound, and Entity, Mapper, Service and Controller full-layer codes are generated through rendering; and outputting through local output, preview or Git integration. According to the method, full-process automation is realized, the template customization threshold is low, multiple technical stacks are adapted, and the development efficiency and code consistency are greatly improved.

We can freely build systems that operate with proprietary software that generates practical, work-level deliverables by reverse engineering using unique data processing structures and inference algorithms. [Solution] The learning management system 10 includes an inference unit 1A-8 that has a knowledge database for storing structured data, analyzes input information obtained from learners based on the structured data, infers missing variables in light of dependencies, calculates the priority of missing parameters to be obtained, and dynamically branches and generates question items to be presented to learners based on that priority, and an output generation unit 1A-9 that combines the learner's individual information obtained by the inference unit 1A-8 with the structured data, works backward to determine the components of the output based on dependencies, and automatically generates a practical-level output tailored to the learner.