41 results about "Android app" patented technology

The invention discloses a container application on-screen method based on texture full-process optimization, which comprises the following steps: taking a swan-gap system as a host and an Android system as a container, distributing a plurality of first buffers by the host, screening out a first texture format by the container, writing original textures of the format generated by rendering into frame buffers, identifying a dirty area of the rendered textures, and displaying the original textures in the frame buffers; packaging the texture data of the region, storing the packaged texture data into a shared memory, transmitting a file descriptor FD to a host, binding an idle first buffer setting priority, a state, a generation timestamp and a texture data pointer at the same time, and obtaining the texture data by the host through the FD; the host establishes a fixed thread task pool, executes multiple tasks in parallel to obtain on-screen texture data, and then updates the state of the first buffer and a texture data pointer; and finally, the host queries the first buffer with the processed state, reads the texture data after sorting according to the priorities and the generation timestamps to finish on-screen, and resets the state of the first buffer to be idle, so that the on-screen delay is effectively reduced, and the actual frame rate of the Android application is improved.

The invention discloses a multi-window display optimization method for android applications of a swan-Monte platform, which comprises the following steps: after an android container is started, creating a first shared memory containing a plurality of partitions on the swan side, distributing and binding a component ID when an android application component is started, configuring GLES resources, creating a double-buffering queue and a GLES context, and displaying the GLES resources in the double-buffering queue. A shared image resource handle is generated, a mapping table of a component ID, a window ID and a texture identifier is established, context and the component ID are verified during component rendering, a difference region is calculated and processed to generate first data and a checksum after pixel data are rendered, a data head and the first data are written into a shared memory partition, and a gap side is notified; after the gap side verification is passed, information is extracted to generate a texture identifier, a Surface buffer area is associated, and finally Android and gap window data are synthesized and submitted to display hardware to be displayed on a screen.

The invention provides a cabin integration method of whole vehicle self-adaption platform service based on SOA and a vehicle, and relates to the technical field of vehicle SOA service, the method comprises the following steps: deeply integrating functional components of a whole vehicle self-adaption platform into an Android operating system, and embedding a communication module into an Android hardware abstraction layer; the original biochemical deployment of the SOA service in the cabin domain is realized; meanwhile, an efficient and low-delay service calling interface is constructed by expanding a communication mechanism between Android native processes, so that the Android application can directly call the whole vehicle level SOA service, and the dependence of traditional cross-domain communication on a vehicle-mounted Ethernet and a central gateway is avoided; besides, processor core resources are dynamically allocated in combination with the function security level of the SOA service, so that the real-time performance and execution reliability of high-security-level tasks are guaranteed, and the overall resource utilization efficiency of the system is improved.

The utility model discloses an intelligent lintel billboard system for a micro-module data center channel. The intelligent lintel billboard system comprises a data collector, a data processing box, a strip-shaped display screen and a power distribution system, the data acquisition unit is provided with an LAN interface, a COM interface, a DI interface and a DO interface, key data of the micro-module data center are acquired through the data acquisition unit, the key data are acquired through the data acquisition unit and processed into visual data through the data processing box, and then the visual data are displayed through the strip-shaped display screen. According to the intelligent lintel system, platforms such as cross-WINDOWS web / Android APP / IOS web and the like are supported, networking communication is simple, display content is rich, functions are comprehensive, an interface configuration design module in the data processing box can circularly play videos and pictures and customize a welcome interface according to customer requirements, and the requirements for multiple functions and customization of the intelligent lintel system of the micro-module data center channel are met.

The application discloses an Android application logic bomb semantic detection method and device based on LLM, and belongs to the technical field of intelligent terminal security; the device comprises an APK reverse analysis graph extraction module, a sensitive API knowledge base construction and suspicious CFG generation module, a cross-function semantic correlation and structured representation module, an LLM semantic reverse reasoning identification and explainability analysis module; through converting a target Android APK into an LLM understandable semantic expression form, LLM understandable APK program semantic information is generated; a logic bomb sensitive API knowledge base is constructed and a suspicious CFG is generated; cross-function call context semantic information of the suspicious CFG is constructed and is subjected to serialization and structured processing; a reverse reasoning identification logic bomb based on factual evidence semantic features and an evidence report are generated; the application can convert an APK file into an LLM easily understandable semantic expression form, and then effectively identify a logic bomb hidden in an intelligent terminal application, and has good explainability.

The present disclosure provides a method and device for restoring obfuscation of an Android string, a computer device and a medium, comprising: converting intermediate bytecode of an Android application installation package data into a first representation file and a second representation file; performing semantic understanding on the second representation file to obtain a control flow graph corresponding to a target method body; identifying obfuscation points based on the control flow graph corresponding to the target method body to obtain a plurality of target candidate sentences; generating a corresponding slice standard representation for each target candidate sentence; reversely constructing a program dependency chain based on the plurality of target candidate sentences to obtain a data flow graph structure; determining a minimum code subset based on the data flow graph structure and the slice standard representation corresponding to each target candidate sentence; performing a reorganization operation on the minimum code subset to generate a subprogram; embedding the subprogram into a class file to obtain a target class file; and executing the target class file through the first representation file to obtain a decrypted string. Thus, the success rate of string decryption is improved.

The application discloses a multi-window display optimization method for an Android application of a Hongmeng platform, and the method comprises the following steps: after an Android container is started, a first shared memory containing multiple partitions is created on the Hongmeng side; when an Android application component is started, the component ID is allocated and bound, the GLES resource is configured, the double-buffer queue and the GLES context are created, the shared image resource handle is generated, and the mapping table of the component ID, the window ID and the texture identification is established; when the component is rendered, the context and the component ID are checked; after the pixel data is rendered, the differential area is calculated and the first data and the checksum are generated and processed; the data header and the first data are written into the shared memory partition, and the Hongmeng side is informed; after the Hongmeng side is verified, the information is extracted to generate the texture identification and the associated Surface buffer; finally, the Android and Hongmeng window data are synthesized and submitted to the display hardware to complete the on-screen display.

The invention belongs to the technical field of information security, and particularly relates to an Android malicious software detection method based on enhanced operation code semanteme, which comprises the following steps: performing static analysis on an Android application sample to obtain a function call graph and an operation code sequence; performing sensitive API screening on the function call graph to obtain a simplified API call graph; assigning an operation code in the operation code sequence of each node in the simplified API call graph according to the relation between the weight of the node to which the operation code belongs and the weight of the whole API call graph; inputting the node vector representation into a Bi-LSTM model to obtain a node time sequence vector representation; clustering based on the node time sequence vector representation to obtain enhanced feature representation; taking the simplified API calling graph represented by the embedded enhanced features as input, taking a malicious software detection result as output, and training a graph convolutional neural network; inputting the enhanced feature representation of the to-be-detected Android application and the simplified API call graph into the detection model to obtain a detection result; according to the method, the problem that the detection model performs deep semantic extraction on the graph is solved, and the detection accuracy is improved.

The invention belongs to the technical field of software automation testing, and provides an application state snapshot detection and bifurcation execution method and device, equipment and a medium, and the method comprises the steps: distributing instance identifiers and session identifiers for virtual instances of a running target Android application, and constructing a mapping table of the instance identifiers and the session identifiers; according to the mapping table, an incremental snapshot and fingerprint technology is adopted to collect snapshot content of the virtual instance according to the triggering opportunity, the snapshot content is stored in an associated mode according to the mapping table, and a snapshot generation process is determined through a session access index table; performing state recovery and operating environment isolation on the bifurcation instance according to the photo generation process; and creating a plurality of sub-process instances for each bifurcated instance, and debugging the bifurcated instances according to the debugging strategy and the modification configuration to obtain a debugging result. The method has the beneficial effects that the abnormal points can be carried and reproduced, and the detection accuracy and efficiency of faults, especially even faults, are improved.

The invention relates to an Android system SOA (service oriented architecture) communication middleware architecture based on vsomep, which is integrated in an Android system, runs as an independent process, and communicates with one or more Android application processes on the upper layer through a Binder IPC (internet protocol computer); the architecture comprises: a vsomeip protocol stack layer, which is used for realizing an SOME / IP communication protocol; the vsomeipBinding adaptation layer adopts a dynamic and static combination mode to decouple the protocol stack and the upper layer application; ara: a com core layer used for realizing a service API, managing a service instance and providing a security mechanism; and the HIDL interface layer is used for realizing Binder IPC communication with the Android application layer. A Manifest dynamic configuration mechanism and a LockDelay concurrency control mechanism are further introduced, and the problem of cross-process dynamic loading of service configuration files in the Android environment and the problem of conflicts during multi-process concurrency creation of service instances are solved respectively. According to the technical scheme, the stability, adaptability and maintainability of the SOA middleware in the Android system are remarkably improved.

The invention discloses an android application-oriented unauthorized private data transmission behavior detection method, which is used for analyzing the behavior of an android application by starting from application traffic and comprising the following four steps of: firstly, capturing original traffic in an application silence state; then traffic semantic keywords are extracted through traffic semantic analysis; identifying an entry function by using a traffic semantic keyword, extracting a key function call chain from the start of the entry function to the end of an encryption / coding function, and reducing functions in the call chain to form a key function set; and finally, performing instrumentation analysis on the key function, and inputting the traffic content and the runtime information of the key function into a large language model to judge the unauthorized privacy data transmission behavior. By means of the method, the privacy data which are transmitted through the plaintext traffic, the encrypted traffic and the like without user authorization of the application can be accurately recognized, the compliance of software is checked, and the privacy of the user and the data safety are guaranteed.

This invention discloses a barcode recognition method for pre-terminal junction boxes based on an Android application, belonging to the field of image recognition technology. It employs a YOLOv4 target detection network to detect 20 target types, including the pre-terminal junction box body, ports, and terminals, thereby significantly improving the accuracy of barcode area positioning. A relative position stability filter is used to match ports and barcode terminals, determining the correspondence between multiple ports and barcode terminals, ensuring that each inserted barcode terminal accurately finds its corresponding port number. Finally, a barcode recognition module is used to identify the barcode information. This method facilitates more convenient, faster, and more accurate fiber optic information entry and management for relevant personnel using highly flexible and portable handheld devices such as mobile phones, solving the problems of low efficiency, incorrect barcode information entry, and high operational difficulty in current manual fiber optic line maintenance.

This invention discloses a multi-view few-sample Android malware classification method based on optimal guidance matching, belonging to the field of information security technology. The invention includes constructing multi-view grayscale images, training a backbone network, optimal guidance matching classification, and dynamic fusion of multiple views. First, the method extracts permissions, APIs, components, and intent features of the Android application to construct multi-view grayscale images. Then, it trains a backbone network that integrates attention mechanisms and self-supervised rotation prediction to extract discriminative features with geometric structure awareness. Valid guidance samples are identified through optimal guidance matching, and category similarity scores are calculated. Finally, adaptive weights are generated based on view confidence, and the multi-view scores are dynamically fused to complete the classification. This invention improves the accuracy and robustness of malware family classification in few-sample scenarios, reduces noise interference, and is suitable for rapid and accurate identification of malware.

The utility model relates to the technical field of electrical control modules for urban rail access control, in particular to an electrical control module for urban rail access control. Comprising an image acquisition and processing module, a metal detection module, a human body temperature detection module, a people counting module, an illuminance adaptive adjustment module, a voice module, a communication module, a mechanical gate module, a display module and a control module. The image acquisition and processing module and the communication module perform bidirectional data exchange with the control module by adopting a UART protocol, and the control module receives data transmitted by the human body temperature detection module, the people counting module and the metal detection module and outputs signals to the voice module, the illuminance adaptive adjustment module, the mechanical gate module and the display module. The comprehensive access control system is realized by utilizing various sensors and transmission technologies, and the electrical module has the functions of mask detection, adaptive environment light supplement, infrared temperature measurement, people number calculation, voice broadcast, Android APP image display and the like.

A curiosity-driven Android app automatic testing method includes the following steps:1) a left part represents a pre-processing assembly which achieves abstraction of an Android app state based on an Android interface structure; 2) a right part is curiosity-driven reinforcement learning module which maintains a historical access state set and optimizes an exploration policy constantly to guide a test to find more new states under the guidance of a reward function based on a curiosity thought; and 3) a middle part represents an advanced guidance module of a deterministic finite automaton (DFA), where the DFA is constructed during operation to record all access states and frequencies thereof; and if the new states are not explored within a given time budget, an AndroidExplore selects the most curious state as a starting point of a next exploration according to global information of the DFA.

The invention discloses an application management method and system for external storage equipment, and belongs to the technical field of application management. According to the method, application installation files in an external storage device are processed in a classified mode, recognizable files are directly installed, and an Android compatible storage library is constructed for unrecognizable files; counting the number of files, marking application affiliation, and generating a recognition feature cluster; the recognizable degree of each resource request object is evaluated, and the installation request is correspondingly processed; and constructing an installation state matrix, comparing the historical installation smoothness with the current installation smoothness, and optimizing the Android compatible storage library. The system correspondingly comprises four modules and a subdivision unit. The problems that in the prior art, an OpenHarmony system depends on a network to install the Android application, the adaptation efficiency is low, and operation is tedious in the non-network environment are solved, efficient application management in the off-line environment is achieved, the installation adaptation success rate and user operation convenience are improved, and the method is suitable for non-network or intranet scenes such as special industries and confidential units.

The utility model relates to the technical field of charger of film and television industry discloses a multifunctional color screen five channel PD fast charger, including end cover, and install the machine storehouse of end cover top, one end face of machine storehouse away from end cover is provided with one control cavity and five battery cavities, both sides in the battery cavity are all provided with the intercommunication channel that links and communicates with the inside of machine storehouse. The multifunctional color screen five channel PD fast charger, through the MCU controller of setting up on the circuit board gathers each way signal, can drive display screen to show multiple information, and the charger has the matched android app, and through the charger of bluetooth connection can realize to the charger start -up logo, charging current, voltage and so on related parameter setting, simultaneously utilize five groups of channel charging chip, make the charger support independent charging, and can realize the adjustment to charging voltage through the MCU controller control charging circuit to realize the charging of multiple lithium batteries.

A method to instrument a multidex Android application for code coverage measurement is described. The method considers structure and DEX limitations of a multidex Android application opposed to the previous single-DEX solution. The method introduces additional steps to bypass the DEX limitations in smali representation of Android app bytecode. The method creates one supplementary smali class per DEX for probe arrays allocation. The method creates additional smali classes directory for supplementary classes. The method counts smali classes fields in newly created classes and rearranges those having the overflow due to DEX limitations. The method counts code entities in the newly created smali_classes directory and creates additional smali directories when the method number overflows. The method bypasses DEX method length limitation when reading generated class fields by reflecting the fields while correcting the array order with regards to their naming convention. An embodiment of the method allows to generate a code coverage report in a multidex format considering probes execution information obtained from testing of a multidex Android application.

The present application belongs to the technical field of software vulnerability mining, and specifically relates to a kind of Android application user privacy leakage vulnerability identification method.The present application includes: two-way program slicing analysis, privacy information identification based on correlation analysis and machine learning method assistance, and non-injective data transformation analysis.Two-way program slicing analysis is used to detect data received by Android application from the server end and judge whether they flow to user interface function;Privacy information identification based on correlation analysis and machine learning method assistance can comprehensively analyze which of the above server end returned information belongs to the privacy information of other users;Non-injective data transformation analysis is used to detect how user data is transformed on the client side before being presented to the user, and then judge whether the "data minimization" principle is followed and whether there is a privacy risk.

The application provides an Android application reinforcement method, comprising the following steps: receiving a custom interpreter file generated by an interpreter file in a Dalvik virtual machine source code; selecting a plurality of protected functions from an executable file to construct local methods and generate Java native interface functions; extracting all instructions of the protected functions from each local method; sequentially performing metadata collection, code disordering and offset correction processing on all instructions of the protected functions to obtain virtual codes which can be transferred to the custom interpreter for interpretation execution through the Java native interface functions; saving all obtained virtual codes in a resource file; and encrypting the custom interpreter file and the resource file containing the virtual codes and then compiling them into an application package file to obtain a reinforced application package file. The application aims to solve the problem that reverse analysis personnel can quickly obtain effective semantics of the reinforced Android application and expose security risks of the Android application.

The invention discloses a method and device for running an Android system in a container and electronic equipment, and belongs to the field of computers. The method specifically comprises the steps that a host environment of an Android container is a Linux environment; the surface synthesizer component receives to-be-rendered data sent by at least one Android application, and sends the to-be-rendered data to the graphic memory allocation component; the graphic memory allocation component sends to-be-rendered data to the graphic open source library; the graph open source library renders the to-be-rendered data; a rendering result reaches the surface synthesizer component through the graphic open source library and the graphic memory allocation component; the surface synthesizer component sends the rendering result of the at least one Android application to a remote control server; and the remote control server sends the rendering result to the remote control client, so that the remote control client displays the rendering result. According to the method, the application range and universality of the Android container can be enhanced, so that the Android container can adapt to different Linux host environments more flexibly.

This invention provides an automated transcoding and universal packaging system and method for mobile Android application distribution, relating to the field of Android application distribution technology. It aims to solve problems in existing technologies such as the inability to directly install AAB format applications, cumbersome extraction of universal packages, fragmented signing environments, and difficulties in automated integration. This system includes a build orchestration engine, an artifact cleaning module, and a secure signature manager. Through containerized building, structural decoupling, physical reconstruction, and environment-adaptive real-time signing, it achieves fully automated conversion from AAB to directly installable APKs. Its core advantages lie in zero-intervention throughout the entire process, intelligent extraction of universal packages, environment-adaptive signing, and standardized artifact delivery. It can be seamlessly integrated into CI / CD pipelines, significantly improving the efficiency of Android applications in R&D testing, internal acceptance, and distribution to non-store channels.

The invention discloses a multi-view small sample Android malicious software classification method based on optimal guide matching, and relates to the technical field of information security, and the method comprises the steps of constructing a multi-view grayscale image, training a backbone network, performing optimal guide matching classification and performing multi-view dynamic fusion. Constructing a multi-view grayscale image; then training a backbone network fusing an attention mechanism and self-supervised rotation prediction, and extracting discriminative features with geometric structure perception; locking an effective guide sample through optimal guide matching, and calculating a category similarity score; and finally, generating an adaptive weight based on view confidence, and dynamically fusing multi-view scores to finish classification. According to the method, the accuracy and robustness of malicious software family classification in a small sample scene are improved, noise interference is reduced, and the method is suitable for rapid and accurate identification of malicious software.

The invention discloses a method, equipment, medium and product for improving the display image quality of an Android application, and the method comprises the steps: obtaining and caching a displayable Surface through a preset operation system after a video application is started, and transmitting the cache region information of the Surface to an Android system; synthesizing image content based on the cache region information through the Android system and caching the image content; and reading the image content through the preset operating system, synthesizing the image content into a video image, and displaying the video image. According to the method, the displayable Surfac is applied through the OpenHarmonyTV system interface, and the cache producer and consumer model is operated between the preset operating system and the Android system, so that the zero copy function of video image synthesis is realized. Therefore, the continuous and stable frame rate in a high-resolution 4K / 8K video playing environment is effectively ensured, and the frame loss problems, such as picture lagging and frame skipping, which influence the watching experience are avoided; and system errors and operation faults caused by repeated data transmission are reduced, and the operation stability of the system is improved.

The application discloses an Android APP automatic compliance detection method based on intelligent program analysis. The application comprises the following steps: firstly, using a Chinese named entity model to extract the privacy content collected by the APP privacy policy declaration; then deploying a dynamic test environment to automatically test the target APP, capture the actual privacy content data of the APP in real time, and perform image recognition through an OCR method and a multi-classification model; finally, analyzing the actual privacy content of the APP and the privacy content of the privacy policy declaration, and comparing the actual privacy content of the APP, to analyze the actual violation items of the APP. The application can realize compliance analysis on user interaction privacy content, so as to standardize the APP behavior and protect the privacy safety of Android APP users.

The invention discloses an audio data intercommunication method and system in an Android ecological application, a terminal and a storage medium, and the method comprises the steps: constructing a Socket Server in an Audio HAL layer of an Android, and waiting for the service connection of an audio bridging system of OpenHarmony; the OpenHarmony constructs an audio bridging system service, and carries out data communication with the Socket Server of the Android through the UnixSocket; and the Android server side sends the Android communication signaling to the OpenHarmony, and the OpenHarmony reads the PCM audio data on the Android according to the Android communication signaling. According to the invention, the difference between the OpenHarmony and the Android audio framework is solved, the Android application can directly use audio hardware equipment on the OpenHarmony, a low-delay audio data transmission mechanism is provided, the real-time performance of audio playing is ensured, the real-time conversion of audio data formats is realized, the compatibility of the Android application and the OpenHarmony audio framework is ensured, and the application and the implementation of the OpenHarmony audio framework are facilitated. Therefore, the audio data intercommunication between the OpenHamrony and the Android application is realized.

The invention provides an Android APP automatic security testing method and system and a readable storage medium. The method comprises the following steps: receiving a to-be-tested Android application installation package file; the installation package file is subjected to automatic static analysis to identify potential safety risk points in the application and corresponding static attribute information, and static analysis comprises detection and analysis of the component structure, permission configuration and code features of the application; for each type of identified potential safety risk points, according to the risk type and static attribute information, deciding and generating a dynamic verification strategy corresponding to the risk type and the static attribute information; calling a dynamic test module, and performing automatic dynamic security test on the application according to the dynamic verification strategy, so as to perform availability verification on the potential security risk point and obtain security risk information during operation; and associating and integrating the result of the availability verification, the static attribute information and the security risk information during operation, and generating a test report with a uniform format.

The utility model relates to the technical field of root canal length measurement, in particular to a dental root canal length measuring instrument based on an Android system APP, which comprises a lip hook and a root canal file and further comprises a signal collector, and a measuring line group is connected between the signal collector and the lip hook and between the signal collector and the root canal file. The signal collector comprises an Android interface, a two-way operational amplifier, a data memory and an audio decoding chip, the Android interface is electrically connected with an Android APP, the Android APP comprises a waveform generation module and a data calculation module, the waveform generation module generates sine wave signals, and the audio decoding chip performs digital-to-analog conversion of waveform signals between the Android APP and the end part of the root canal file. The Android APP is connected with the signal collector through the measuring line set, the waveform generation module sends a waveform to the root canal file to make contact with the root tip for positioning, data returned by the root tip position is calculated by the data calculation module, measurement and calculation are integrated in the APP, the calculation speed is high, stability is high, and the root tip positioning process is conveniently observed and recorded in real time.

The invention discloses a screen sharing method and system between an open source gap and an Android application, a terminal and a storage medium, and the method comprises the steps: obtaining a screen sharing request of the Android application, carrying out the memory distribution processing according to the screen sharing request, obtaining a shared memory pool, obtaining the desktop graphic data of a host machine, determining a callback interface, and carrying out the call-back operation of the host machine; writing the desktop graphic data into a shared memory pool through a callback interface to obtain multiple pieces of shared graphic data; according to the multiple pieces of shared graphic data, carrying out graphic layer construction processing to obtain a target graphic layer; and performing cache writing processing according to the target layer to obtain a target graphic cache, and performing screen rendering processing on the Android application according to the target graphic cache to obtain a screen sharing result. According to the method, the target layer is constructed according to the desktop graphic data of the host machine, the graphic cache is constructed according to the target layer, and the desktop of the host machine is shared to the Android application, so that screen sharing between the open source gap application and the Android application is realized.

The application provides an Android APK hardening method and system for high-strength code protection, belonging to the technical field of computer software, comprising: obtaining an Android application runtime resource call chain through a reflection hot loading technology to generate a dynamic encryption key stream; segmenting encryption is performed on key resources according to the dynamic encryption key stream to obtain encrypted resource data; an instruction level semantic analysis technology is used to analyze the underlying instruction sequence of the encrypted resource data to generate a semantic conversion template; the package body is dynamically re-signed according to the check result to obtain a re-signed application package body; the re-signed application package body is monitored through a runtime reverse protection mechanism to obtain abnormal behavior logs; if a dynamic injection attack is detected in the abnormal behavior logs, protection logic encryption is activated to generate an irreversible protection module; the encryption strategy of the runtime data stream is updated according to the irreversible protection module to obtain an optimized resource protection scheme. The application significantly improves the security of the runtime resources of an Android application.