31 results about "Fingerprint alignment" patented technology

This invention discloses a real-time detection method and system for abnormal behavior based on micro-execution state sequences, relating to the field of computer-related technologies. The method includes: offline analysis of the binary code of embedded firmware to generate a legitimate fingerprint database of micro-execution state sequences; non-intrusive sniffing of the CPU's instruction bus and real-time classification of executed instructions via a hardware monitoring unit; calculation of real-time fingerprints based on instruction type sequences; extraction of legitimate fingerprints from the legitimate fingerprint database; synchronization with a fingerprint comparator for comparison; and generation of fingerprint comparison results; and triggering an abnormal response unit based on the fingerprint comparison results. This invention solves the technical problems in existing technologies where low-overhead, fine-grained, and broad-spectrum defense capabilities for embedded firmware runtime behavior monitoring cannot be achieved in resource-constrained environments, resulting in poor real-time detection performance, sensitivity, and protection coverage. It achieves the technical effect of improving the real-time performance and sensitivity of embedded firmware runtime integrity detection, as well as the protection coverage and system energy efficiency.

This invention provides a method and system for verifying and tracing file fingerprints for scientific instrument data, comprising: Step S1, acquiring user identity information and instrument identifier of the scientific instrument, identifying the original data file through file monitoring and automatically collecting basic metadata to generate labeled metadata; Step S2, calculating the file fingerprint based on the algorithm identifier using a digest algorithm and writing it into a fingerprint database; Step S3, performing fingerprint comparison on the file fingerprints; if the fingerprints are the same, reusing the existing content object identifier and adding a new version record; if they are different, creating a new content object identifier and adding a new version record; and when the same reservation identifier, upload time difference not exceeding a preset threshold, and fingerprint inconsistency are met, creating a version fork and recording the fork reason code and fork reason payload for traceability; Step S4, performing verification processing on the downloaded file. The beneficial effect is that this invention can meet the comprehensive requirements of traceability, auditability, and real-time performance for the security management of scientific instrument data.

The application discloses a logistics package packaging traceability data transmission system and method based on a block chain, relates to the field of computer information technology, and aims to solve the problem that a traditional traceability mechanism cannot effectively monitor the physical state of packaging and trace tampering behavior in the transportation process, resulting in the problem that data is credible but the physical object is suspicious. The original surface information of logistics packaging is collected, a filter bank is used to obtain a filtering response matrix of a height field matrix, each filtering response matrix is converted into a binary sequence string and spliced into a binary feature code, the binary feature code is used to form a feature code sequence by extracting an invariable bit, an original fingerprint is obtained through hash calculation, a data body containing an identity code, the original fingerprint, error correction auxiliary data and a time stamp is constructed, and the data body is broadcast to a block chain after being signed by an elliptic curve digital signature; current surface features are obtained and processed to obtain a current feature code sequence; and the packaging integrity is determined by comparing the current feature code sequence with the original fingerprint.

The invention discloses a loopback test module data flow monitoring method and system, and belongs to the technical field of computers. The method comprises the following steps: intercepting an original data stream at a loopback sending end bypass, generating a sending end characteristic fingerprint with a fixed length, associating the sending end characteristic fingerprint with a sending clock label, and writing the sending end characteristic fingerprint into an asynchronous ring buffer area in sequence; intercepting a return data stream in a loop-back receiving end bypass, generating a receiving end feature fingerprint by adopting the same algorithm, and capturing a receiving clock label; the matching engine determines a sliding window range based on a receiving clock label and a preset time delay parameter, reads a plurality of sending end feature fingerprints in a window in parallel, and compares the sending end feature fingerprints with receiving end feature fingerprints after effective screening according to time deviation; and if yes, judging that the operation is normal, otherwise, starting an exception handling process. According to the method, through feature fingerprint compression storage and an asynchronous ring buffer and sliding window parallel matching mechanism, low-resource-overhead, non-intrusive and high-real-time data flow monitoring is achieved, and the method effectively adapts to a high-speed loopback test scene.

The application discloses an industrial vehicle identity recognition and unlocking system based on image recognition and fingerprint comparison, comprising: a multi-modal biological feature modeling module for collecting face images, voice prints and fingerprints to generate identity potential vectors; an identity verification and unlocking control module for performing authorization comparison based on the face, the fingerprint and the identity potential vectors and outputting an unlocking instruction; a running track construction module and a baseline track generation module for constructing a running track set and a baseline track set to obtain a differential feature sequence; a decomposition reward structure construction module and a MaxEnt IRL learning module for constructing a basic reward and a personalized reward to establish an improved MaxEnt IRL model; a time sparse strategy solving module and an instrument control execution module for solving a time sparse instrument control strategy and generating an instruction after identity verification is passed. The application improves the industrial vehicle enabling safety and the effectiveness of alarm decision in the running process.

The application relates to the technical field of data processing, and discloses a city-level intelligent community multi-source heterogeneous data standardization management method, which comprises the following steps: acquiring heterogeneous data messages and generating a structure topology fingerprint, performing differential processing according to a fingerprint comparison result; when the comparison result is inconsistent, extracting time sequence statistical features of unknown fields to construct a physical feature vector, and calculating the topological structure correlation among the unknown fields to construct a topological distance matrix; based on the physical feature vector and a standard field reference vector, combining the topological distance matrix to construct and solve a global mapping loss function, and establishing the mapping relationship between the unknown fields and the standard fields; generating a streaming mask according to the mapping relationship and a message network communication protocol type, and extracting and storing standardized data based on the mask. The application can perceive message structure changes through a structure fingerprint, and can constrain a mapping relationship by combining space-time joint features, so that the accuracy of heterogeneous data mapping conversion and the system processing efficiency are improved.

The invention relates to the technical field of computer network security, and discloses a host and network card binding method based on read-write of a network card EEPROM (Electrically Erasable Programmable Read-Only Memory). The method comprises two technologies: 1, a binding technology: operating a binding program through an external medium, collecting hardware information of a host to generate a fingerprint, encrypting the fingerprint through a private key, writing the encrypted fingerprint into a network card EEPROM, and performing read-back verification to realize one-to-one binding of the host and the network card; and the verification control technology runs when the host is started, generates a real-time fingerprint and compares the real-time fingerprint with a fingerprint bound in the EEPROM, if the real-time fingerprint is consistent with the fingerprint bound in the EEPROM, the network card is allowed to work and enters an NAC / AAA process, and if the real-time fingerprint is not consistent with the fingerprint bound in the EEPROM, the network card is prevented from being used for communication, so that the access request is rejected and is recorded to be abnormal According to the method, hardware does not need to be newly added, the method can be implemented only by relying on an existing network card EEPROM and a system tool, the network card is effectively prevented from being replaced or forged, the cost is reduced, and the safety and manageability of network access are improved.

The application belongs to the technical field of communication network operation and maintenance and infrastructure management, and discloses a communication infrastructure full life cycle management system based on digital twinning, which is applied to a communication network including a core network, a bearer network and an access network. The system is provided with a communication infrastructure object library, a life cycle event management and fingerprint generation device, a digital twinning management device and a fingerprint consistency comparison and trajectory reconstruction device on the center side, and is provided with a report message processing device on the edge node. By collecting design, construction and operation phase events according to infrastructure sections, fixed length life cycle fingerprints are generated and reported with state messages, fingerprint comparison and necessary life cycle trajectory reconstruction are carried out in the digital twinning model, high-risk infrastructure sections are marked in combination with event statistical results and topological relationship, and maintenance strategies are generated, so that the full life cycle fine management of the communication infrastructure is realized.

The invention relates to a data model synchronization method and device, computer equipment, a readable storage medium and a program product. In response to a synchronization detection instruction, when it is detected that a difference exists between a data fingerprint and a historical fingerprint of metadata of a data table, a data change type of the metadata is determined based on a comparison result of the metadata and historical metadata corresponding to the historical data fingerprint, and a synchronization strategy corresponding to the data change type is used for synchronizing the metadata. And performing synchronous processing on the data model. Compared with a traditional mode of carrying out synchronous detection through a data source full-amount comparison mode, according to the scheme, lightweight fingerprint comparison is utilized, and different synchronization strategies are adopted for different data change types to carry out synchronization, so that the data model synchronization efficiency is improved.

The invention discloses a USB interface information security prevention and control method and system, and relates to the technical field of computer information security. A security control module is connected in series between a USB port of a monitoring host and a peripheral, and protection is moved forward to the early stage of power-on and enumeration, so that access and permission limitation with equipment fingerprints and industrial semantics as cores are realized, and the security of the USB interface is ensured. The attack surface is converged at the access moment; performing fingerprint comparison by using information such as VID / PID, descriptor consistency, PD / CC handshake and the like, so that the camouflage equipment is difficult to pass initial identification; enumeration limit and endpoint-level bandwidth / type control are adopted for the released equipment, mass storage is forbidden by default, only HID and authorized necessary endpoints are reserved, and harm of instruction injection and high-frequency burst is weakened from the source; in a session stage, a normal behavior model is constructed by endpoint access distribution, function code transfer and frame interval statistics, and identification of instructions with compliant formats and abnormal semantics is realized based on a deviation degree score and an adaptive threshold.

The invention belongs to the technical field of communication network operation and maintenance and infrastructure management, and discloses a communication infrastructure full life cycle management system based on digital twinning, which is applied to a communication network comprising a core network, a bearer network and an access network. According to the system, a communication infrastructure object library, a life cycle event management and fingerprint generation device, a digital twin management device and a fingerprint consistency comparison and trajectory reconstruction device are arranged at a center side, and a report message processing device is arranged at an edge node. The method comprises the following steps: collecting design, construction and operation and maintenance stage events according to an infrastructure section, generating a life cycle fingerprint with a fixed length, reporting the life cycle fingerprint along with a state message, and carrying out fingerprint comparison and necessary life cycle trajectory reconstruction in a digital twin model; and marking the structural high-risk infrastructure section in combination with an event statistical result and a topological relation, and generating a maintenance strategy, thereby realizing full-life-cycle fine management of the communication infrastructure.

The application discloses a GIS partial discharge online monitoring false alarm suppression method and device, equipment, medium and product, and relates to the technical field of power equipment state monitoring. The method comprises the following steps: acquiring multi-source signal data; performing fingerprint comparison based on online monitoring signal data and external interference signal data to determine an interference fingerprint comprehensive similarity; performing interference fingerprint identification processing based on the interference fingerprint comprehensive similarity to obtain an identification result; performing online inspection of sensor fitting degree according to the identification result and a sensor state quantity to obtain a verification evaluation result; performing fusion decision according to the interference fingerprint comprehensive similarity and the verification evaluation result, and performing state grading processing to obtain a grading processing result; and using the grading processing result to determine whether the fusion decision result is a false alarm category, so as to perform false alarm suppression. The application can realize online interference discrimination and fusion decision, and false alarm suppression.

The invention discloses an industrial unstructured data processing method and system, and relates to the technical field of data storage. The method comprises the following steps: firstly, calculating an overall fingerprint of a to-be-stored industrial unstructured data file so as to carry out global de-duplication; if the file is not hit, slicing the file and calculating the fingerprint of each fragment so as to perform deduplication comparison on finer granularity; and finally, through two-stage Hash fingerprint comparison and reference counting management, only writing the unique fragment into a storage system according to a protection strategy configured by a file, and binding and recording the physical position of the unique fragment and the fragment fingerprint in a metadata warehouse. Therefore, the core problems of metadata performance bottleneck, data consistency risk under network faults, low fixed block duplicate removal efficiency and the like of traditional distributed storage in an industrial scene can be fundamentally solved, industrial data management with high throughput, strong consistency and optimized storage efficiency is realized, and practical application and popularization are facilitated.

This invention belongs to the field of artificial intelligence security technology, specifically relating to a corpus security detection method, system, and computer-readable storage medium. The corpus security detection method includes: S1, preprocessing the original corpus to obtain paragraph-level corpus text; S2, inputting the paragraph-level corpus text into a five-dimensional detector to obtain a five-dimensional risk score; wherein, the five-dimensional detector includes a harmful information classifier, a sensitive entity identifier, a low-quality scorer, a false statement verifier, and a confidential fingerprint comparer; S3, weighting and fusing the five-dimensional risk scores to obtain a comprehensive risk score; S4, determining whether the comprehensive risk score is greater than a blocking threshold; if so, blocking is performed. This invention can perform integrated real-time detection of harmful, sensitive, low-quality, false, and confidential information in large-scale pre-training corpora before training, achieving real-time blocking before streaming into the database, and is applicable to corpus cleaning at various stages such as large model pre-training, fine-tuning, and continuous pre-training.

A computerized method and system enables secure association of digital content with physical items through image-based authentication and augmented reality display. The method and system captures a key associated with a physical item and receives an image of the item via a mobile computing device's camera. The system processes the captured image to generate a unique fingerprint value, which is then compared against reference values using software accessed through the captured key. Upon successful authentication based on both the key and fingerprint comparison, the system retrieves associated digital content items from storage and generates an augmented reality display that overlays the content onto the live image of the physical item on the mobile device screen. This approach provides a secure mechanism for linking digital information to real-world objects while delivering an interactive augmented reality user experience.

The invention is suitable for the technical field of data processing, and provides an underground water pollution tracing method and device and terminal equipment. The method comprises the following steps: performing water quality fluorescent fingerprint detection on a first underground water sample collected at a first monitoring point position in a target area to obtain a first water quality fluorescent fingerprint; comparing the first water quality fluorescent fingerprint with a water quality fluorescent fingerprint pre-stored in a database, and determining a first similarity between the first water quality fluorescent fingerprint and the pre-stored water quality fluorescent fingerprint; when a first similarity between a second water quality fluorescent fingerprint in the database and the first water quality fluorescent fingerprint is greater than or equal to a threshold value, collecting an underground water sample at a downstream point location of the first monitoring point location, and determining a second similarity between the water quality fluorescent fingerprint of the underground water sample and the second water quality fluorescent fingerprint; and when the second similarity is greater than a threshold value, determining the pollution source of the first monitoring point position according to the known pollution source of the second water quality fluorescence fingerprint. The spatial rationality and reliability of groundwater pollution tracing can be improved.

The present specification provides a fingerprint data processing method and system. Based on the method, before implementation, at least two fingerprint chips with small sensing areas are cascaded to obtain a fingerprint collection unit applicable to a fingerprint processing scene with a large sensing area requirement; and the fingerprint collection unit is connected to a fingerprint processing unit through a preset interface; during implementation, the fingerprint processing unit can send a first chip selection signal and a second chip selection signal to the fingerprint collection unit in sequence, so that a first sub-fingerprint image on a first sub-sensing area and a second sub-fingerprint image on a second sub-sensing area are collected by a first fingerprint chip and a second fingerprint chip respectively; and then, according to a preset processing rule, the first sub-fingerprint image and the second sub-fingerprint image are processed respectively to perform fingerprint comparison. Thus, by effectively utilizing multiple fingerprint chips with small sensing areas, accurate fingerprint data processing can be realized in a fingerprint processing scene with a large sensing area requirement.

The application discloses a kind of multi-wireless device programming control systems, including multi-wireless device information acquisition module, equipment dynamic mapping processing module and control information output module, the present application relates to wireless device control technical field, solve the technical problem that from passive maintenance to predictive maintenance change is realized while the adaptive identification and dynamic loading of protocol stack cannot be realized, the double mechanism of fingerprint comparison+active detection backstepping is passed in the present application, system can automatically identify the protocol type of unknown equipment, according to the identification result, corresponding protocol stack image is dynamically pulled and started, new protocol can be supported without restarting gateway, reduce the cost and time of new equipment access, establish the unified semantic model including attribute, method, event three layers, shield the difference of underlying protocol, using dynamic script generation engine, automatically compile uplink analysis / assembly script, realize the automatic conversion of private protocol to standard format, improve development efficiency and system maintainability.

The invention discloses an information security vulnerability management method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining vulnerability data and enterprise asset data, and generating an asset fingerprint according to the enterprise asset data; performing fingerprint matching and semantic association on the vulnerability data and the asset fingerprint to obtain asset associated vulnerability data; and generating a vulnerability repair task according to the asset associated vulnerability data, and after the vulnerability repair task is completed, performing vulnerability reproduction verification and fingerprint comparison verification to obtain a vulnerability repair verification result. In information security vulnerability management, vulnerability matching is performed through a double-association mechanism of fingerprint matching and semantic association, so that the matching accuracy of assets and vulnerabilities is improved; automatic repair verification is carried out through a dual verification mechanism of vulnerability reproduction and fingerprint comparison, so that verification efficiency is improved, misjudgment is avoided, and the reliability of information security vulnerability management is effectively improved.

The invention relates to a data coupling integrity verification method, system and device in flood simulation, and belongs to the technical field of water conservancy information. Performing list layer verification, explanation file integrity verification, quantity consistency verification, section space rationality verification and elevation repeatability verification; performing Hash fingerprint comparison on a section elevation array, and if 100% repetition is found, marking and alarming; and performing automatic screenshot on all the verification mark items to generate a manual review list, wherein the manual review list comprises a screenshot path, exception description and suggested repair suggestions. According to the method, the examination efficiency of data integrity is improved, and the standardization, reusability and reliability of the flood simulation model library are also remarkably improved.

The invention relates to a game combat anti-cheating method and device, equipment and a medium. Acquiring combat cheating verification information pushed by the player user side; reproducing a player combat scene based on combat operation instructions corresponding to combat intervals in the combat operation instruction sequence, determining logic layer combat data sets corresponding to the preset combat intervals, and determining anti-cheating fingerprints of the logic layer combat data sets as anti-cheating verification fingerprints by using an anti-cheating fingerprint algorithm; the anti-cheating fingerprints and the anti-cheating verification fingerprints in the same combat interval are compared, and fingerprint abnormal values are counted; and when the counted fingerprint abnormal value exceeds a preset cheating threshold value, executing cheating punishment of the player user side. According to the method, the operation instructions and the logical layer combat data are collected at intervals, so that the combat scene is reproduced, fingerprint comparison is carried out to verify combat anti-cheating, and the combat fairness is improved under the condition that the playing combat experience of players is guaranteed.

This disclosure provides an image matching method, apparatus, electronic device, and readable medium, relating to the field of image retrieval technology. The image matching method includes: selecting a first group of similar images from a source image set based on the Hamming distance between each image in the source image set and a target image; assigning values ​​to the images in the first group of similar images according to the magnitude of the Hamming distance between the target image and each image in the first group of similar images, obtaining a row matrix of the first group of similar images; assigning values ​​to the images in the first group of similar images according to the degree of overlap between the target image and each image in the first group of similar images, obtaining a column matrix of the first group of similar images; multiplying the row matrix and column matrix of the first group of similar images to obtain a target matrix; and selecting a second group of similar images from the first group of similar images based on the target matrix. This disclosure improves the accuracy of image matching by incorporating image content comparison on top of image fingerprint comparison.

This invention relates to the field of building equipment monitoring technology, specifically disclosing a multi-signal analysis and early warning system for vibration and noise of building electromechanical equipment. The system includes a multi-modal signal acquisition array, a signal preprocessing and synchronization module, a multi-source signal blind separation and reconstruction module, an equipment feature fingerprint database, a fault mode recognition and localization engine, and an early warning decision and visualization module. By extracting independent source signals from the equipment through blind source separation technology, and combining feature fingerprint comparison with vibration-acoustic fusion localization, it achieves accurate identification, mode classification, and three-dimensional spatial localization of equipment faults. Furthermore, it provides graded early warnings based on the degree of deviation, thereby improving the sensitivity and operational efficiency of building electromechanical equipment fault monitoring.

The invention relates to the technical field of chemical synthesis platform resource scheduling, and provides a chemical synthesis platform resource scheduling method and system.The method comprises the steps that when a task cancelling event occurs, core experiment parameters of a target compound are extracted from a cancelled chemical synthesis database task; performing standardization processing on the core experiment parameters, and generating task instantaneous fingerprints; binding the task instantaneous fingerprints with the chemical synthesis associated metadata; when the new task creation event occurs, extracting new task core experiment parameters of the target compound from the new task; performing standardization processing on the new task core experiment parameters to generate a new task instantaneous fingerprint; comparing the new task instantaneous fingerprint with the task instantaneous fingerprint, and judging whether the new task is the functional substitution of the cancelled task or not; and if the functional substitution is judged, automatically injecting the chemical synthesis associated metadata into the new task. The method has the effect of improving the accuracy and completeness of chemical synthesis platform resource scheduling.

The invention discloses an industrial vehicle identity recognition and unlocking system based on image recognition and fingerprint comparison, and the system comprises a multi-mode biological feature modeling module which is used for collecting a face image, a voiceprint and a fingerprint to generate an identity potential vector; the identity verification and unlocking control module is used for performing authorization comparison based on the human face, the fingerprint and the identity potential vector and outputting an unlocking instruction; the moving trajectory construction module and the baseline trajectory generation module are used for constructing a moving trajectory set and a baseline trajectory set to obtain a differential feature sequence; the decomposition reward structure construction module and the MaxEnt IRL learning module are used for constructing a basic return and a personalized return to establish an improved MaxEnt IRL model; and the time sparse strategy solving module and the instrument control execution module are used for solving the time sparse instrument control strategy and generating an instruction after the identity verification is passed. According to the invention, the starting safety of the industrial vehicle and the effectiveness of alarm decision in the operation process are improved.

The invention relates to the technical field of information security access, and discloses a digital identity data information access control security protection system and method, and the digital identity data information access control security protection system comprises a data analysis module which obtains response data through analysis; the phase shift difference calculation module is used for calculating to obtain a time phase shift difference; the key set selection module is used for calculating to obtain an inter-generation difference rate and obtaining a selected key set according to the inter-generation difference rate; the intergenerational fingerprint calculation module is used for calculating and obtaining intergenerational fingerprints; the signature verification module completes signature verification according to the selected key set; and the secondary verification module is used for generating the newest intergeneration fingerprint and comparing the newest intergeneration fingerprint with the stored intergeneration fingerprint, if the newest intergeneration fingerprint and the stored intergeneration fingerprint are consistent, the authorized callback is allowed, otherwise, the authorized callback is refused. According to the method, the authorization response data is analyzed, the legal data source is locked, the time phase shift difference between the cache and the source station key set is quantified, and the effective key set is accurately selected in combination with the intergenerational difference rate, so that the digital identity access control requirement under the complex network architecture is met.

The invention discloses a cross-category scientific research achievement intelligent registration method, which comprises the following steps: a, data acquisition: acquiring an achievement text, and preprocessing the achievement text; b, data processing and storage: calculating a hash value of the preprocessed data, generating a digital fingerprint and a semantic vector, and performing block chain evidence storage; c, performing data analysis, and performing registration number discrimination, fingerprint comparison and cross-category semantic comparison; d, constructing a knowledge graph, constructing an achievement graph which takes achievements as nodes and takes similarity / derivation / time sequence as edges, and labeling a version chain and a time sequence chain; e, performing multi-dimensional scoring, performing scoring based on the knowledge graph and the block chain evidence storage data, and performing sorting output; according to the method, deep fusion and semantic-level duplicate checking of multi-source achievements are realized by constructing a unified achievement processing and traceability architecture fusing semantic fingerprints and block chain double-track evidence storage, and the capabilities of an achievement evolution path, representativeness, innovativeness and influence are improved by constructing a dynamic knowledge graph and combining a multi-dimensional scoring mechanism.

This application discloses a fingerprint recognition method, apparatus, medium, and device, belonging to the field of biometric identification. When extracting fingerprint features, this application uses a public security algorithm to extract public security fingerprint features and a custom algorithm to extract custom fingerprint features. The extracted public security fingerprint features and custom fingerprint features are stored in their respective designated locations within the fingerprint minutiae data field of the binary format fingerprint feature value data. This ensures that the binary format fingerprint feature value data conforming to public security standards includes both public security fingerprint features and custom fingerprint features. During fingerprint comparison, it is compatible with fingerprint template data conforming to both public security algorithms and custom fingerprint features. Existing fingerprint template data using custom algorithms does not need to be modified or re-collected, saving significant manpower and time costs and improving the compatibility and success rate of fingerprint comparison.

The application relates to the technical field of low-altitude safety management, and particularly discloses a judicial expertise evidence collection system and method for illegal flight of an unmanned aerial vehicle. The system is composed of a low-altitude monitoring unit, a flight path fusion and track recovery unit, an electromagnetic characteristic acquisition unit, a link tracing module, an evidence solidification module and a judicial expertise analysis platform. The low-altitude monitoring unit fuses multi-source sensing means such as a low-altitude detection radar, photoelectric imaging, electromagnetic detection and 5G-A integrated sensing, realizes detection discovery, identification classification and continuous tracking of a low-altitude target, the track recovery unit reconstructs a high-precision three-dimensional flight path based on an extended Kalman filtering or particle filtering algorithm, the electromagnetic characteristic unit extracts signal fingerprints and protocol characteristics, the link tracing module inverses the position of an operator through fingerprint comparison and TOA / TDOA positioning, the evidence solidification module realizes tamper-proof data evidence storage by adopting a blockchain hash chain and a trusted timestamp, and the judicial expertise analysis platform automatically generates a standardized expertise opinion. The method comprises the steps of event triggering, multi-modal detection, flight path reconstruction, electromagnetic acquisition, link tracing, evidence solidification and judicial analysis.

The invention discloses a SIMD-based fingerprint comparison method, device and equipment and a medium, and relates to the technical field of fingerprint identification, and the method comprises the steps: generating a first fixed-length feature vector and a second fixed-length feature vector according to a to-be-compared fingerprint and a minutiae topological structure of a pre-stored fingerprint template; carrying out binarization processing on the two feature vectors to obtain corresponding binarization feature vectors; calling an SIMD (Single Instruction Multiple Data) instruction set of the embedded processor, carrying out parallel operation on the binarized feature vectors, and calculating a similarity distance value of the binarized feature vectors; and judging whether the fingerprints are matched based on the distance value. According to the method, feature regularization is achieved through the fixed-length vector, data is compressed through binarization, calculation is simplified into bit operation, then hardware-level parallel processing is conducted through the SIMD instruction set, and the operation throughput rate of fingerprint comparison is remarkably improved. The method effectively adapts to the architecture of the embedded processor, greatly improves the operation efficiency and meets the real-time requirement on the premise of not increasing the cost and power consumption of special hardware.