64 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 provides an Android application task automation method based on a user interaction description diagram, and belongs to the technical field of automation. Comprising the steps that a first stage comprises user interaction description graph generation and aims at obtaining a user interaction description graph of an application; and outputting the user interaction description diagram of the application by taking the Android project as input. And the second stage comprises task execution path planning and adaptive interactive operation generation. According to the method, static program analysis is combined with the semantic reasoning ability of the LLM, the structured user interaction description graph is automatically constructed from the source code of the target application, the user interface elements, the interaction logic and the state jump relation are covered, and the problems of operation blindness and the like caused by lack of application prior knowledge before task execution of the LLM are solved. An initial operation instruction sequence can be generated in combination with user task requirements; through an adaptive instruction re-planning mechanism, state fault tolerance and path optimization in a task execution process are realized, and the task completion rate in a complex scene is remarkably 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 invention provides an Android APK reinforcement method and system oriented to high-strength code protection, and belongs to the technical field of computer software, and the method comprises the steps: obtaining a resource call chain during the operation of an Android application through a reflection heat loading technology, and generating a dynamic encryption key stream; performing segmented encryption on the key resource according to the dynamic encryption key stream to obtain encrypted resource data; analyzing a bottom-layer instruction sequence of the encrypted resource data by adopting an instruction-level semantic analysis technology, and generating a semantic conversion template; performing dynamic re-signature on the package body according to the verification result to obtain a re-signed application package body; monitoring the re-signed application package body through a runtime reverse protection mechanism, and obtaining an abnormal behavior log; if the dynamic injection attack is detected in the abnormal behavior log, protection logic encryption is activated, and an irreversible protection module is generated; and updating an encryption strategy of the data stream during operation according to the irreversible protection module to obtain an optimized resource protection scheme. According to the method and the device, the resource security during Android application running is remarkably improved.

Embodiments of the present specification provide a method, device and storage medium for detecting invocation of a trusted execution environment (TEE) by an Android application. The method comprises: obtaining a data packet of a software to be detected; obtaining an identifiable file from the data packet based on a reverse engineering algorithm; identifying whether the software to be detected invokes a TEE function based on a preset TEE function vector set and the identifiable file, the TEE function vector set containing vectors representing general functions / interfaces, indirect invocation functions / interfaces or specific TEE functions / interfaces; obtaining a function vector of the invoked TEE function, text data and logical structure data of a module in the software to be detected that invokes the TEE function from the identifiable file when the software to be detected invokes the TEE function; and determining a functional module to which the invoked TEE function belongs based on the function vector of the invoked TEE function, the text data and the logical structure data. The technical solution provided by the present application solves the problem of insufficient precision in detecting TEE in the prior art.

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 invention discloses a method and a system for monitoring use time of Android application equipment, belongs to the technical field of Android application development, and aims to solve the technical problem of how to monitor foreground applications and count use time length data of each application through barrier-free services in Android services. Comprising the following steps: creating a system-level barrier-free service, registering a window monitoring event for monitoring window state change in a configuration file of the barrier-free service, and maintaining two member variables; when a window state change is detected based on the barrier-free service, generating a data record, and updating a member variable; when the window switching event is triggered, filtering the new window through a pre-configured multi-layer filtering mechanism; monitoring screen-off and screen-on broadcasts of the Android device, and generating a data record; and locally storing data records generated in the window switching event processing and the screen-off and screen-on broadcast monitoring process, and uploading the locally stored data records to the cloud.

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 present disclosure provides a method and device for starting an Android application in a Linux system, electronic equipment and storage medium, relating to the technical field of computer. The method comprises: listening to an icon on the desktop of the Linux system being triggered, the Linux system running an Android container, the Android container having started an Android system service, obtaining a desktop file corresponding to the icon, determining the trigger request to start the Android application according to the desktop file, obtaining the file package information of the Android application and sending it to the Android system service, and triggering the Android system service to start the Android application according to the file package information. The technical scheme of the present disclosure can start the Android application in the Linux system without the synchronous operation of the Linux and Android dual systems, reduces the complexity, improves the starting speed of the Android application, and improves the performance of the system.

The application discloses a hot repair method, device, computer readable storage medium and terminal equipment, and the method comprises the following steps: when a hot repair instruction corresponding to an Android application is received, reading a patch file in a preset push path corresponding to the Android application to obtain a target patch file corresponding to the Android application; and performing hot repair on the Android application according to the target patch file to obtain a repaired Android application. Therefore, the application can perform dynamic replacement of an Android system patch file at a Linux kernel level, so that the Android system upgrade becomes more efficient.

The invention provides an Android application dynamic test method and system, electronic equipment and a storage medium, according to the Android application dynamic test method provided by the invention, instrumentation logic runs at the same authority level as system service, and the limitation that a traditional test tool is limited by application layer authority is broken through. According to the method, key behaviors such as system calling, inter-process communication and underlying resource access can be deeply observed, so that the test coverage rate and the behavior restoration precision are greatly improved, and omnibearing dynamic behavior analysis of the target application is realized. According to the method and the device, deeper and more targeted counter operation can be implemented on the countermeasure detection behavior of the application. Due to the fact that the tested application is usually in a low-permission operation environment and has limited perception capacity on the system bottom layer state, the testing tool can effectively interfere with the detection logic of the tested application by means of hiding root permission characteristics, disguising equipment information characteristics and the like, the probability of identifying the testing environment is reduced, and the stability and the concealment of the testing system are fundamentally 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.

The embodiment of the invention discloses an Android application running device and method, computing equipment and a machine readable storage medium, and relates to the technical field of computers. The Android application running device comprises a display screen creating module used for creating a virtual display screen and starting a target Android application to the virtual display screen; the output frame acquisition module is used for acquiring an output frame of the virtual display screen; the output frame processing module is used for carrying out preset processing on the output frame according to the characteristics of the non-standard physical display screen to obtain a processed output frame; and the output frame transmission module is used for transmitting the processed output frame to a non-standard physical display screen through a hardware abstraction layer interface and a kernel driving program so as to display the processed output frame through the non-standard physical display screen. The image picture of the Android application is transmitted to the physical display screen which does not support an Android standard display frame through the virtual display screen and the hardware abstraction layer interface, and the picture content of the Android application can be efficiently and reliably displayed.

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.

The present invention discloses a device-independent Android APP user operation trajectory recording and playback method, which connects to an Android device to obtain basic information, monitors the control information of the current screen active view and user operation events in real time, and converts them into a standardized logical structure. According to the control layout of the current screen active view, a structured view model is constructed, which covers all the control information of the page. For user operation events, a mapping relationship between them and the page view controls is generated, and each user operation event and its corresponding control information are obtained. Starting from the first user operation event, each user operation event and its corresponding control information are recorded, and an operation trajectory sequence is gradually generated. In the trajectory playback stage, the APP is restarted and adjusted to the initial interface, and the playback of all actions is achieved by traversing the operation trajectory sequence in sequence. The method described in the present invention realizes the efficient recording and accurate playback of device-independent Android APP user operation trajectories.

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 invention is applicable to the technical field of application installation, and provides a resource preloading-based Android application installation method, which comprises the following steps that: a construction end constructs a complete installation directory mirror image of a target Android application through resource preloading, and stores the complete installation directory mirror image in an NFS (Network File System) shared memory; mounting the complete installation directory mirror image in the NFS shared memory to a local temporary directory by the running end, and mounting the local temporary directory, a write-in layer directory and a working directory required by the OverlayFS to a standard installation directory of the target Android application; when an operation end receives an installation request of a target Android application, scanning a standard installation directory of the target Android application through the PMS to obtain an installation package of the target Android application; and injecting the application information analyzed from the installation package of the target Android application into a PMS database, and sending a broadcast to an Android system of a running end to activate the target Android application. According to the method, the installation duration of the Android application in the cloud mobile phone scene can be shortened.

The invention provides an Android application integrity verification method based on double-anchor trigger chained trust extension, which comprises the following steps: respectively implanting anchor points in an installation process and an operation process, and acquiring a verification request of a to-be-verified application program under the condition that the installation anchor points or the operation anchor points are triggered; analyzing the verification request to obtain quintuple fingerprint information; and performing matching verification on the quintuple fingerprint information and the layered credible description set to obtain an integrity verification result. According to the method provided by the invention, anchor points are implanted in the installation process and the operation process respectively, under the condition that the installation anchor points or the operation anchor points are triggered, the verification request of the to-be-verified application program is obtained, the verification request is analyzed, the quintuple fingerprint information is obtained, the quintuple fingerprint information and the layered credible description set are subjected to matching verification, and the verification efficiency is improved. According to the method and the device, the running or updated third-party application installation package is comprehensively and effectively verified, and the safety of all application software in the installation and running process is improved.

The application discloses an automatic generation method for barrier-free description of Android application icons. The Android application package is taken as the input, and the Android application package embedded with barrier-free description is taken as the output. When the user starts the barrier-free service, the operating system will use its built-in screen reader to read the barrier-free description of the icon in the application page, thereby helping the user to understand the current page content. The application first automatically explores the key page screenshots and document object models in the Android application as the context, and then requires the large model to generate the corresponding barrier-free description for the icon components in the page based on the questioning method of the thinking chain and write it into the Android application package to achieve the purpose of automatically generating the barrier-free description of the icons. The method provided by the application is effective and efficient, and can generate accurate barrier-free description for the icon components in the Android software at a relatively fast speed.

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.