80 results about "Process memory" patented technology

The browser tab page data storage method supporting data encryption comprises the steps that browser tab page interaction behaviors are monitored in real time to generate a dynamic factor, and a session key dynamically changing along with the life cycle of a tab page is generated in combination with a process ID of the tab page; based on a self-adaptive encryption strategy, respectively encrypting structured data and unstructured data of the label page; wherein the structured data are encrypted according to field sensitivity levels, and the unstructured data are encrypted through mapping binding of a secret key and the data; the encrypted data and a timestamp voucher of the session key are stored in an associated mode, decryption operation is only allowed to be completed in a label page process memory generating the session key, and the session key is not stored in a landing mode; and when the label page is closed, synchronously clearing the decryption data in the session key and the process memory. According to the method and the device, the defects that the dynamic generation of the key cannot be realized and the key cannot fall to the ground at present are overcome.

The invention relates to a method for optimizing electroplating and etching process parameters, which comprises the following steps of: establishing an interface migration behavior relationship by analyzing the influence of metal ions, doped impurities and surface roughness factors on a reaction interface migration rate and a boundary layer flow behavior in an electroplating and etching process; interface migration behaviors are combined with parameter sensitivity analysis, the influence of process parameters on the interface behaviors is dynamically evaluated, and priority optimization sorting is carried out; dynamic interval zooming is carried out on the sensitive parameters by using the fitted sensitivity function, and a local adjustment range is generated according to material types and graph complexity; a preorder process memory mapping relation is introduced, and morphology evolution information recorded in the electroplating process is transmitted to an etching parameter optimization module; local fine adjustment is carried out on the etching rate, angle control and a disturbance mechanism, and the previous electroplating state is responded; collecting a fluctuation interface feedback signal; establishing a closed-loop optimization control loop of micro-disturbance, response evaluation and parameter correction; and the process consistency and the structure uniformity are improved.

The invention discloses an API-oriented dynamic fuzz testing and vulnerability detection method, and belongs to the technical field of software security testing. The method comprises the following steps: extracting a dependency relationship, an input parameter, an output response and context state data of API calling, generating an initial API dependency graph, dynamically updating by capturing API state change in real time, forming an API state graph, and executing boundary-oriented variation based on parameter constraint characteristics, so as to obtain an API state graph; generating a variation test parameter, calling an API (Application Program Interface) of the variation test parameter to monitor a process memory behavior and response metadata, and generating a multi-dimensional abnormal signal; and performing mode matching on the abnormal signal and the vulnerability feature knowledge base, outputting a vulnerability type label and generating a path tracing report. According to the method, a context state sensing dynamic graph modeling technology is adopted, and a boundary-oriented intelligent variation strategy and multi-source abnormal behavior collaborative analysis are combined, so that precise vulnerability triggering, intelligent vulnerability judgment and complex scene coverage can be realized.

The invention relates to an artificial intelligence chip, a method for processing memory access related instructions, a computing device, a computer readable storage medium and a computer program product. The artificial intelligence chip comprises a calculation core, the calculation core comprises a calculation unit, the calculation unit at least comprises a loading storage cache module, the loading storage cache module comprises a queuing module, the queuing module is configured to process memory access related instructions which do not carry predetermined modifications in a predetermined domain segment, and the queuing module is configured to queue the memory access related instructions; the predetermined modification indicates whether the memory access related instruction bypasses the queuing module and is provided to the bypass module; and the bypass module is configured to process the memory access related instruction with the predetermined modification carried by the predetermined domain segment. According to the invention, the queuing and arbitration time delay of the memory access request can be obviously reduced, and the response time of the memory access request is reduced.

The invention discloses an intelligent agent memory management method and system. According to the method, deep semantic organization of memory content is realized by defining a structured memory unit containing ternary metadata formed by a multi-label set, a multi-dimensional attribute set and a multi-level path; and receiving and processing a memory operation from any trigger event through a unified memory management framework. According to the method, the problems of low retrieval precision, poor data isolation between instances and tight coupling with service logic caused by flattening of a memory structure of an existing agent system are effectively solved, and the performance, the safety and the expandability of the agent system in enterprise-level application are remarkably improved.

The invention discloses a controller memory buffer management method, system and device, a medium and a product, and relates to the technical field of data storage, and the method comprises the following steps: obtaining state information of a memory block; determining a first to-be-processed memory block and a second to-be-processed memory block according to the state information; if the size of the fragments is greater than a threshold value, recycling the fragments; and generating a virtual address according to the physical address of the second to-be-processed memory block, and mapping the second to-be-processed memory block into a continuous memory space. The problem that discontinuous memory blocks and memory blocks containing fragments are prone to occurring in a memory buffer area of a controller, and communication delay of SSD access of a host is increased can be solved. According to the method, the fragments of the memory blocks can be rapidly detected and arranged, the fragments are recycled, the space utilization rate of the CMB is improved, the second to-be-processed memory block is mapped into the continuous memory space through the virtual address, it is ensured that the host can logically access the continuous memory space, and the addressing frequency is reduced.

The embodiment of the invention provides a memory strategy management method and device, and relates to the technical field of computers.The method comprises the steps that a kernel of a multi-memory-node system receives a strategy setting request sent by a first process through preset system calling, and the strategy setting request comprises strategy setting parameters and an identifier of a second process; verifying the permission and strategy setting parameters of the first process and the second process; if it is determined through verification that the first process has the permission to modify the memory strategy, the strategy setting parameters are legal, and the second process exists, the memory strategy of the second process is processed according to the strategy setting parameters. According to the scheme, the problems that in the prior art, cross-process memory strategy management operation is complex, flexibility and adaptability are insufficient, and extra safety risks, performance fluctuation and instability are possibly introduced can be solved.

The invention relates to the technical field of artificial intelligence, and provides a memory data processing and question answering method and device of a large language model, computer equipment and a readable storage medium. The memory data processing method of the large language model comprises the following steps: according to a memory summary template of a business field to which a to-be-processed dialogue record fragment of the large language model belongs, performing memory summary on the to-be-processed dialogue record fragment to obtain a to-be-processed memory stream; performing conflict detection on the to-be-processed memory stream and a memory stream in a memory database of the large language model; when a conflict detection result shows that the high-correlation memory flow of the to-be-processed memory flow exists in the memory database, determining a memory update content type of the to-be-processed memory flow; and according to the memory update content type, determining a corresponding processing measure so as to perform corresponding processing on the to-be-processed memory flow and the high-correlation memory flow. By adopting the method, the accuracy of model answering can be improved.

The invention provides a data prefetching method, and relates to the technical field of artificial intelligence, in particular to the technical field of chips and the technical field of caches. The specific implementation scheme is as follows: in response to the situation that the number of available resources in a missed state temporary storage unit is greater than or equal to an available number threshold value for a to-be-processed memory access instruction and the to-be-processed memory access instruction hits target prefetch information, determining a prefetch address according to an access address of the to-be-processed memory access instruction and a prefetch offset in the target prefetch information; the available number threshold value is determined according to continuous memory access information for the memory access instruction to be processed, and the continuous memory access information is determined according to a plurality of continuous first memory access instructions in a memory access time period for the memory access instruction to be processed; the plurality of continuous first memory access instructions are a plurality of instructions with the same offset of any two adjacent addresses in the memory access time period. The invention further provides a data processing device, electronic equipment and a storage medium.

The application discloses a trend early warning method, device and equipment of a converter valve cooling system and a medium. The method is to use disturbance recording wave data generated by periodic switching of a main pump to extract characteristic parameters representing system operation states to form a training set and a verification set. Then, a new observation vector selects training set data according to a KNN strategy to dynamically construct a process memory matrix and obtains an estimated vector according to multivariate state estimation. The cosine similarity of the estimated vector and the observation vector is calculated. The cosine similarity statistical value of the verification set is used as a warning threshold. The cosine similarity of the observation vector is compared with the warning threshold, and a trend early warning is issued. The application extracts characteristic parameters by using disturbance recording wave data generated by periodic switching of a main pump, solves the problem that the converter valve cooling system cannot perform fluid parameter trend early warning, and is simple and easy to implement.

Examples provide an apparatus, device, method, computer program and non-transitory machine-readable storage medium including program code for processing memory spill code during compilation of a computer program. The non-transitory machine-readable storage medium includes program code for processing memory spill code during compilation of a computer program, when executed, to cause a machine to perform identifying a plurality of instructions related to scalar memory spill code during compilation of a computer program, and transforming at least a subset of the plurality of instructions into vectorized code.

The invention provides an offline data processing method and device, terminal equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the following steps: acquiring offline SQL data corresponding to a current fault; compressing the offline SQL data to obtain compressed SQL data; obtaining a current fault type, and predicting a current fault duration period according to the current fault type; predicting the offline SQL volume of the fault according to the duration period of the fault; if the duration period of the fault is less than a preset period and the offline SQL volume of the fault is less than a preset volume, writing the compressed SQL data into a process memory, otherwise, writing the compressed SQL data into a local disk; wherein the preset volume is a preset percentage of the available volume of the current process memory. According to the method and the device, the occupied space of the offline SQL data can be reduced, and application scenes with a relatively long fault period and a relatively short fault period can be considered.

The application discloses a code injection attack analysis and detection method and system, and belongs to the technical field of computer network security, and the method comprises the steps of: reproducing a known code injection attack under a Windows monitoring environment, and constructing an API feature stack frame list; monitoring cross-process memory page allocation of a target program, and constructing a floating memory page list; based on the API feature stack frame list and the floating memory page list, performing code injection attack analysis and detection on the target program; and using ETW log monitoring technology to realize asynchronous monitoring of memory page permission modification operations, and regarding abnormal permission modification behavior on the floating memory page as illegal behavior. The application can realize real-time monitoring of abnormal behavior detection code injection attack behavior in a Windows operating system.

Disclosed embodiments relate to systems and methods for securely storing a secret. Techniques include accessing a secret associated with a network identity and generating a primary encryption key for encrypting the secret. Generating the primary encryption key includes: accessing a first encryption key associated with the network identity, accessing a second encryption key stored in a process memory location associated with a machine of the network identity, and applying a primary key hash function to the first encryption key and the second encryption key to generate the primary encryption key. Techniques further include encrypting the secret using the primary encryption key to generate an encrypted secret; obfuscating the encrypted secret to generate an obfuscated encrypted secret; and storing the obfuscated encrypted secret in a secured storage location associated with the machine of network identity.

This application discloses a multi-agent collaboration method, apparatus, electronic device, and storage medium. The method includes, in response to a user-input query, determining the scope of agents to be invoked in a model decision-making stage. This model decision-making stage invokes at least process memory and summary memory. The process memory records the temporal trajectory, type, and triggering conditions of each agent's invocation, while the summary memory simplifies the memory information for each round of interaction. Based on the scope of agents to be invoked, the generated content of each agent is decomposed in a model generation stage, which invokes at least the summary memory. Finally, based on the generated content of each agent, a final output result is obtained. This application achieves a stronger understanding and decomposition capability for user-fuzzy questions, understanding user questions at the memory level, thereby invoking agents not mentioned in the user question and completing multi-agent collaboration.

The invention discloses an interconnection query method and device for database computing nodes, equipment and a medium. The method comprises the following steps: in response to a data query request of a client, performing identifier existence verification on a communication query identifier of the data query request to obtain an identifier verification result; if the identifier verification result is that the data query request has the connected query identifier, determining a to-be-connected computing node from the candidate computing nodes according to the data query request; according to the data query request, determining a sub-query request of a to-be-connected computing node, and sending the sub-query request to the to-be-connected computing node; when candidate memory table data returned by the computing node to be connected is received, determining processed memory table data and unprocessed memory table data according to the candidate memory table data; and determining a target query result according to the processed memory table data, the unprocessed memory table data and target memory table data of the target computing node. According to the technical scheme, the database query efficiency and flexibility can be improved.

1. Name of the product in this design: Graphical User Interface for Memory-Assisted Analysis Tool for Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the content of the graphical user interface in the electronic device. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. As is customary, the top view, bottom view, left view, right view, and rear view of each design are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: for monitoring and analyzing process memory handle data. 8. Human-computer interaction method of graphical user interface: Design 1 main view displays process Memory data in multiple dimensions; clicking the drop-down list control containing the text "Memory" in the top toolbar enters Design 1 change state diagram 1, which displays the sub-item list of the drop-down list; clicking the "Handle" sub-item in the sub-item list enters Design 1 change state diagram 2, which displays Handle data. Design 2's main view displays multi-dimensional process Memory data; clicking the drop-down list control containing the text "Memory" in the top toolbar enters Design 2's change state diagram 1, displaying the drop-down list's sub-items; clicking the "Thread" sub-item in the sub-item list enters Design 2's change state diagram 2, displaying Thread data. Design 3's main view displays process memory data across multiple dimensions; clicking the dropdown list control containing the text "Memory" in the top toolbar leads to Design 3's change state diagram 1, displaying the dropdown list's sub-items; clicking the "Cpu" sub-item in the sub-item list leads to Design 3's change state diagram 2, displaying CPU data.

The application discloses a kind of human-computer conversation scene construction systems based on generative language model, belong to human-computer interaction technical field.The application includes scene preset module, script generation module, user intent processing module, routing logic processing module, data generation and processing module and knowledge base node processing module;Above module generates the script of machine node according to user preset scene description information, judges whether there is similarity user intent according to user reply content, and carries out merging or generates new user intent, determines machine content and user content in next interaction according to preset information and language model, and forms routing chain, generates machine content based on generative language model, judges whether there is similarity intent, and forms the routing chain of machine node and user intent, triggers discrete knowledge point output node content, and realizes process memory regression, to build out general closed human-computer conversation scene.

System and method for non-invasive monitoring and exploitation detection in third-party software processes. The system includes modules for scanning process memory to identify sensitive credentials such as application programming interface (API) keys and tokens, monitoring opened file descriptors including files, sockets, and inter-process communication channels, and analyzing network activity including domain name system (DNS) requests and encrypted connections. Runtime metadata such as privileges, environment variables and resource usage is also collected. The system correlates these signals to detect indicators of exploitation, such as unauthorized access, privilege escalation, or injected payloads, without modifying or instrumenting the monitored process. Integration with external security systems may enhance detection accuracy. Alerts and reports are generated in real-time to support incident response and forensic analysis.

The application discloses a process memory allocation method and an electronic device, and is applied to the technical field of communication. In order to solve the problem that a key process cannot use mirror memory in a whole cycle in the related art, leading to poor reliability, the method comprises the following steps: determining a key process according to an entity file name of a loaded process in a kernel state process loading process; setting a mirror memory usage identifier for the key process; and in a process memory allocation process, if a process to be allocated has the mirror memory usage identifier, allocating mirror memory for the process to be allocated. In the application, the key process identification and the mirror memory allocation for the key process can be realized in the process loading process, and the mirror memory can be used as soon as the process starts running, so that the key process can use the mirror memory in a whole cycle, and the reliability of the key process is improved.

The invention discloses a server-free remote memory access performance optimization method based on cross-process memory tracking, and belongs to the technical field of computer memory management. The method comprises the following steps: designing a memory state table as a unified perception layer for remote memory access of homologous server-free containers, and realizing cross-process tracking of memory page states among different containers; a memory state table query process is embedded into hardware page table traversal, page state query is completed by hardware acceleration, and extra overhead on a memory access key path is eliminated; the remote memory access is merged and optimized based on the memory state table, cached local memory pages are reused in the container creation stage, the same remote memory access requests are merged in the operation stage, and the page missing exception frequency and the network bandwidth contention are reduced. According to the method, extra overhead caused by remote memory access in a server-free environment is effectively reduced, page missing abnormity and network bandwidth contention in a concurrent scene are greatly reduced, and the running performance and the system expandability of memory-intensive server-free applications are remarkably improved.

The invention discloses a Windows system cross-process malicious behavior detection method, which comprises the following steps of: monitoring the calling of a user mode program on a cross-process memory write-in API (Application Program Interface) through a hook system service scheduling table or a filter drive program of a Windows system, and when detecting that a source process executes memory write-in operation on a target process; when it is monitored that the target process executes the predefined sensitive behavior operation, obtaining a thread call stack address sequence corresponding to the sensitive behavior operation in real time; and comparing the thread call stack address sequence with the injection operation record, and if at least one instruction address in the call stack falls into a memory address range written into the target process by the source process, judging that the sensitive behavior operation forms a malicious behavior initiated by the source process. An injection behavior traceability basis is established by monitoring cross-process memory write-in operation, and accurate behavior traceability of remote code injection attacks is realized for the first time in combination with an address space matching mechanism of a sensitive behavior call stack.

Embodiments of the present application provide a memory object processing method and device, and relate to the field of computers. The method comprises: detecting whether an undetected first memory object exists in a memory; if the undetected first memory object exists, obtaining a class corresponding to the first memory object; detecting whether to retain the first memory object based on the class; if the first memory object is retained, detecting whether a current quantity of memory objects corresponding to the class reaches a quantity threshold; if the quantity threshold is not reached, obtaining at least one second memory object referenced by the first memory object, and generating reference relationship information of the first memory object and the at least one second memory object; updating the current quantity to obtain an updated first latest quantity, and storing the reference relationship information and the first latest quantity. Embodiments of the present application reduce the size of a subsequently generated memory snapshot, and the time of generating the memory snapshot.

The invention relates to the technical field of computers, and provides a memory access request processing method, device and equipment, which are used for solving the problem of security isolation in a multi-user sharing scenario, and the method comprises the following steps: obtaining a sideband signal in a preset access request to determine an identity label of a requester corresponding to the preset access request; determining a target register domain from a plurality of register domains according to an identity category to which the identity identifier belongs; wherein the plurality of register domains correspond to a plurality of identity categories, and the plurality of register domains are used for performing configuration management on the plurality of virtual DMA channels; and determining an accessible area corresponding to the identity identifier from the target register domain, and processing the preset access request according to the accessible area. According to the embodiment of the invention, by pre-configuring a plurality of identity categories and a plurality of register domains, different access permissions can be allocated for users with different identities, so that security requirements among multiple users can be met at the same time, and the problem of security isolation in a multi-user sharing scene is solved.

The application belongs to the technical field of program analysis, and relates to a real-time memory recovery method and system for process memory and instruction sequence fusion. The method comprises the following steps: establishing an index for memory pages in a process memory dump file to form a memory page index; analyzing an instruction record file to establish a mapping relationship between an instruction ID and a file position and form an instruction index; scanning memory patch files in a specified directory, generating incremental memory checkpoints at specified intervals based on the memory page index, the instruction index and the memory patch files; according to a target instruction ID and a memory address, using the memory checkpoints and incremental data to quickly restore and query the memory state at a target time, and using a multi-level cache mechanism to improve the memory query performance. The application realizes efficient processing and fast query of large process memory dump data, and solves the problems of large memory dump file size, low query efficiency and excessive storage space occupation in the prior art.

The embodiment of the invention provides a memory data processing method and device, equipment and a computer storage medium. The memory data processing method comprises the following steps: in response to a detected hardware memory error existing in a preset process, acquiring a memory address corresponding to the hardware memory error; based on the memory address, a data recovery attribute corresponding to the hardware memory error is determined, and the data recovery attribute is used for identifying whether memory data corresponding to the hardware memory error can be subjected to recovery operation or not; and processing the memory data corresponding to the memory address based on the data recovery attribute. In the embodiment, different processing operations can be performed on the memory data based on different data recovery attributes, so that the situations of task interruption and resource waste caused by direct downtime of a control system under the condition that hardware memory errors exist are avoided, the stability and reliability of task running are ensured, and the service life of the system is prolonged. And the effective utilization rate of data processing resources can be improved.

The application discloses an API granularity-based shared library deflation method and system, which comprises the following steps: clustering page-aligned dependent clusters by analyzing the function dependence of each exported API offline, and rewriting the binary layout; intercepting API calls by a customized dynamic linker at runtime, dynamically adjusting the code page execution authority in combination with metadata, and activating only the required page of the current API; the scheme can maintain the cross-process memory sharing of the shared library, avoid memory inflation caused by copy-on-write (CoW), reduce the number of available gadgets by more than 90%, and significantly improve the ROP / JOP attack resistance; the system supports multithreading safety, hot API optimization, is compatible with the standard ELF format, does not need to modify the application, is transparent in deployment, and is suitable for Linux high-security and high-density running environments; the application can maintain the cross-process memory sharing advantage of the shared library while significantly reducing the attack surface and memory inflation problem.

The application relates to the technical field of CAE software, and particularly provides a memory management method for an iterative solving method of CAE software, which comprises the following steps: preloading a memory management library when CAE software is started; calling the memory management library to allocate memory and establishing a front central memory pool and a front process memory pool when the CAE software is iterated for the first time; collecting memory image information and establishing a memory image database during the first iteration process; according to the memory image database, the memory management library establishes a central memory pool when the CAE software is iterated subsequently; and before each iteration of the CAE software starts, a process memory pool is established for each process according to the memory image database, so that the problem of low overall performance caused by low memory management efficiency of the iterative solving method of the CAE software is solved.

A method includes executing a program by a Just-in-Time (JIT) engine in a runtime environment, where the JIT engine is configured to store runtime data at an in-process memory and to compile portions of the program based on the runtime data. The method then extracts, by a software agent that is external to a process of the JIT engine, the runtime data from the in-process memory. Based on the runtime data, the method performs a classification of code units of the program as active or inactive code units, where the active code units include at least one function that is indicated by the runtime data as being executed at least once and determining a security vulnerability assessment of the program based on the classification of the code units of the program. Also provided are a computer program product and apparatus for implementing the method.

The invention provides a process control method and device, equipment and a storage medium, and the process control method in the application comprises the following steps: in response to a process control request, obtaining process memory data of a background running process and reference memory data of the background running process; determining memory deviation data of the background running process according to the process memory data and the reference memory data; if the memory deviation data is greater than a preset memory deviation threshold, determining memory evaluation data of the background running process based on the process memory data and historical memory data; and performing memory control processing on the background running process by utilizing the memory evaluation data to obtain a memory control result. According to the technical scheme, effective memory control can be intelligently carried out on the background running process with memory occupation abnormity or memory leakage, so that the memory pressure of the terminal is reduced, and the running fluency of the foreground application is improved.