Method and system for secure processing of enterprise financial data sharing based on privacy computing

Abstract

The application discloses a method and system for sharing and processing enterprise financial data based on privacy calculation, and relates to the technical field of data security and privacy protection, comprising the following steps: S100, constructing a space-time mapping structure of watermark propagation according to the time sequence and node topology information of the enterprise financial data back transmission link, and extracting the starting position of phase shift to generate a phase anchor point list; S200, based on the phase anchor point list, identifying the overlapping conflict area between each path before data aggregation, establishing a conflict window, and extracting the phase drift trajectory of each path to form a trajectory record. The application realizes the guidance of watermark rhythm under path drift by constructing the space-time mapping of watermark propagation and hierarchical alignment index, and improves the continuity of data identification; combined with the peak-shifting embedding and phase-locked regulation mechanism, the watermark structure is unified, signal interference is avoided, and the stability of the traceability chain is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data security and privacy protection, in particular to an enterprise financial data sharing security processing method and system based on privacy computing. BACKGROUND

[0002] The enterprise financial data sharing security processing based on privacy computing refers to a security processing mode in which, when multiple enterprises or institutions need to analyze, compare or collaboratively compute financial data, privacy computing technology is used to enable each participant to complete joint operation and result sharing without directly exposing the original data content. This method usually combines homomorphic encryption, secure multi-party computation, federated learning, differential privacy and other technical means, and enables sensitive financial data of enterprises to participate in computation in an encrypted or desensitized state, so that the data remains invisible and unbreachable in the whole process of transmission, storage and computation. On this basis, a distributed computing framework for big data processing, parallel task scheduling, massive data sharding and aggregation processing mechanism are introduced, so that multi-source, heterogeneous and high-dimensional enterprise financial data can be efficiently aggregated, jointly modeled and batch analyzed under privacy control, thereby balancing computing performance and security boundaries. Through the cooperation of privacy computing and big data processing capabilities, this method can not only support large-scale secure sharing and deep collaborative analysis of cross-enterprise financial data, but also meet the strict requirements of enterprises for business secret protection, audit compliance and regulatory traceability, and achieve the sharing goals of data usability and invisibility, controllable computing process and verifiable and traceable analysis results.

[0003] The prior art has the following disadvantages:

[0004] In the prior art, dynamic traceability monitoring of the enterprise financial data sharing process is usually realized by embedding digital watermark identifiers in the data stream to track the data source and flow. However, when the financial data is transmitted back and forth in multiple nodes, multiple paths and multiple rounds under the multi-party privacy computing framework, the digital watermark embedding mechanism in the prior art generally uses static position or fixed frequency domain marking method, which is difficult to adapt to the dynamic changes of data flow path. With frequent forwarding and re-encryption of data between different computing nodes, adaptive adjustment by the system to maintain identifier stability often causes phase drift of the watermark embedding position. When the data of multiple paths is retransmitted and superimposed at the convergence node, the drifted watermark identifiers will produce phase superposition interference in the frequency domain, causing some identifier signals to cancel each other out or distort. Once such implicit interference occurs, it will directly cause the data tracking chain to break, making the responsibility identifier unable to be accurately extracted, and thus causing the entire data responsibility tracking mechanism to fail, and the system cannot trace to the specific node or subject when facing data leakage or abnormal sharing events, seriously affecting the data security and credibility in the privacy computing environment.

[0005] The above information disclosed in the background section is only for the purpose of enhancing the understanding of the background of the present disclosure, and therefore it can include information that does not constitute the prior art known to those of ordinary skill in the art. SUMMARY

[0006] The purpose of the present application is to provide a privacy computing-based enterprise financial data sharing security processing method and system to solve the problems in the background.

[0007] In order to achieve the above-mentioned purpose, the present application provides the following technical scheme: a privacy computing-based enterprise financial data sharing security processing method, comprising the following steps:

[0008] S100, constructing a space-time mapping structure of watermark propagation according to the time sequence and node topology information of the enterprise financial data backhaul link, and extracting the starting position of the phase shift to generate a phase anchor point list;

[0009] S200, based on the phase anchor point list, identifying the overlapping conflict area between each path before data aggregation, establishing a conflict window, and extracting the phase drift trajectory of each path to form a trajectory record;

[0010] S300, based on the phase drift trajectory record, generating a position guiding texture in the watermark carrier, setting an independent take-off scale for each data backhaul path, and constructing a hierarchical position index;

[0011] S400, according to the hierarchical position index, performing frequency division hierarchical staggered embedding operation, redistributing the watermark signal of the overlapping conflict area to the adjacent time window, and generating a staggered embedding time spectrum;

[0012] S500, according to the staggered embedding time spectrum, injecting an anti-phase sentinel watermark when the data backhaul is aggregated, performing echo lock signal adjustment, dynamically converging the phase through the rhythm stretching control mechanism, and maintaining the continuity and stability of the traceability link.

[0013] Preferably, step S100 comprises:

[0014] According to the cooperative path of enterprise financial data in the privacy computing scenario, the data flow conversion link participating in joint calculation is arranged at the node level, the data backhaul link topology structure covering the whole process is constructed, and the connection relationship and path weight of each node are marked;

[0015] On the basis of the link topology structure, the time sequence information of the enterprise financial data in the transmission process is extracted, and a time sequence chain with hierarchical relationship is constructed to mark the position of the data segment between nodes on the global time axis;

[0016] The watermark propagation space-time mapping structure is established by combining the node topology structure and the time sequence chain, the watermark propagation track is correspondingly mapped with the spatial node position and the time node sequence, and a three-dimensional space-time mapping surface is formed.

[0017] Based on the space-time mapping structure, the propagation characteristics of the watermark in each path are analyzed, the starting position of the phase shift of the watermark signal is calibrated, a phase anchor point list is generated, and the path identifier, the offset node and the corresponding time coordinate information are recorded.

[0018] Preferably, when the phase anchor point list is generated, the starting offset position of the watermark signal is synchronously associated with the spatial coordinates in the node topology and the time nodes in the time sequence chain, the initial phase change point is determined by backtracking the path propagation process, and the anchor point corresponding relationship is established according to the propagation direction information, so as to realize accurate positioning of the phase offset position and unified identification of the anchor point data.

[0019] Preferably, step S200 comprises:

[0020] Based on the generated watermark propagation space-time mapping structure and the phase anchor point list, a plurality of return paths of enterprise financial data are centrally analyzed, the intersection nodes of each path in the data flow convergence process are identified, and the node corresponding relationship mapping is established;

[0021] Based on the identified path intersection nodes, the offset starting points of each path in the phase anchor point list are combined to judge the potential conflict sections between the paths, and the time boundary and the spatial span of the overlapping section are determined;

[0022] On the basis of the identified potential conflict sections, a conflict window structure is constructed around the path combination with the intersection relationship, a continuous time segment is established in combination with the time dimension and the path distribution, and the path participation relationship and the overlapping density level are marked;

[0023] On the basis of the constructed conflict window, the phase drift track of each path from the phase anchor point to the intersection node is extracted, the path starting time, the node position, the drift amplitude and the change direction are recorded, and the track record is formed.

[0024] Preferably, when the conflict window structure is constructed, the path is divided into continuous time segments on the time axis, the overlapping degree of the watermark signal in the time segment is graded to determine the overlapping density level and the interference direction, and the time and space joint mapping is established according to the path distribution difference, which is used to limit the conflict range and the interference boundary of the watermark signal before data convergence.

[0025] Preferably, step S300 comprises:

[0026] Based on the phase evolution trend of each data path in the phase drift trajectory record and the jump node information, a guide reference structure is constructed in the watermark carrier, and the node information, time span and phase change amplitude of each path are mapped to a unified reference interval;

[0027] In combination with the phase drift trajectory data of each path, a path-specific guide texture is generated in the guide reference structure, so that the guide texture is consistent with the phase drift rhythm of the path and overlapping areas between textures are avoided;

[0028] Around each generated guide texture, in combination with the anchor point time position of the path, an independent take-off scale is set to determine the initial embedding time point of the watermark signal, and a time identification signal and a path number label are embedded in the carrier;

[0029] After all paths complete independent take-off scale setting, the guide texture and take-off scale of each path are combined longitudinally to construct a hierarchical alignment index with a hierarchical structure, which is used to guide the differential embedding control of the watermark signal before convergence.

[0030] Preferably, the hierarchical structure of the alignment index is hierarchically divided according to the path priority and embedding order, and each level corresponds to a specific embedding channel. The paths are sequentially started in time, independently distributed in space, and staggered in frequency domain, so that the watermark signal maintains rhythm continuity and avoids embedding interference before convergence.

[0031] Preferably, step S400 comprises:

[0032] According to the hierarchical structure, take-off scale and guide texture distribution information in the hierarchical alignment index, a high-density conflict area with an overlapping trend in the watermark embedding process is identified, and the conflict area is hierarchically labeled;

[0033] Around the identified conflict area, a time buffer segment available for watermark redistribution in adjacent time segments is analyzed to construct a time buffer structure containing multiple micro time windows, and the time distance and path compatibility of the buffer segment and the conflict area are recorded;

[0034] Based on the time buffer structure, a redistribution operation is performed on the watermark embedding point located in the conflict area to move the embedding point to the corresponding buffer segment, and the path take-off scale is dynamically fine-tuned to maintain rhythm consistency;

[0035] After completing the embedding point redistribution, the embedding time points, guide texture segments and hierarchical information of each path are merged to generate a staggered embedding time spectrum covering the watermark embedding behavior of all paths, which is used to guide subsequent embedding control.

[0036] Preferably, step S500 comprises:

[0037] According to the staggered embedding time spectrum combined with the convergence time of each data path, a unified regulation interval suitable for being a starting point of watermark convergence is identified, and the time boundary and rhythm buffer zone of the convergence interval are determined;

[0038] In the convergence regulation interval, guided by the path phase difference, an anti-phase sentinel watermark is injected to make the watermark signal have a rhythm convergence tendency in the time dimension and avoid interfering with the original high-density section of the watermark;

[0039] After the injection of the sentinel watermark is completed, an echo phase-locked signal adjustment is applied to the path watermark to make the path watermark signals have a periodic resonance in the phase rhythm and form a phase alignment trend at the end of the convergence interval;

[0040] After the echo phase-locked adjustment, a rhythm stretching control mechanism is introduced to slightly stretch or compress the path end section watermark rhythm, so that all path watermark signals complete rhythm convergence and keep phase consistency before the data convergence point.

[0041] The enterprise financial data sharing security processing system based on privacy computing includes a watermark space-time mapping construction module, a conflict detection and trajectory analysis module, an alignment guide index generation module, a staggered embedding scheduling module, and a phase-locked regulation and echo correction module:

[0042] The watermark space-time mapping construction module constructs a space-time mapping structure of watermark propagation according to the time sequence and node topology information of the enterprise financial data backhaul link, extracts the starting position of the phase offset, and generates a phase anchor point list;

[0043] The conflict detection and trajectory analysis module identifies overlapping conflict areas between paths before data convergence based on the phase anchor point list, establishes a conflict window, extracts the phase drift trajectory of each path, and forms a trajectory record;

[0044] The alignment guide index generation module generates an alignment guide texture in the watermark carrier based on the phase drift trajectory record, sets an independent take-off scale for each data backhaul path, and constructs a hierarchical alignment index;

[0045] The staggered embedding scheduling module performs frequency division and hierarchical staggered embedding operations according to the hierarchical alignment index, redistributes the watermark signals in the overlapping conflict area to adjacent time windows, and generates a staggered embedding time spectrum;

[0046] The phase-locked regulation and echo correction module injects an anti-phase sentinel watermark according to the staggered embedding time spectrum at the data backhaul convergence, performs echo phase-locked signal adjustment, dynamically converges the phase through the rhythm stretching control mechanism, and keeps the continuity and stability of the traceability link.

[0047] In the above technical solutions, the present application provides technical effects and advantages:

[0048] The application can effectively deal with the path drift and phase misalignment problems of multi-path and multi-node financial data in the privacy calculation process by constructing the space-time mapping structure of watermark propagation and the hierarchical alignment index. By accurately extracting the phase anchor point and drift trajectory, the dynamic guidance of the watermark embedding position and rhythm is realized, ensuring that the watermark signal always maintains structural coherence and rhythm stability in the complex data backhaul link, improving the tracking continuity of data identification, and avoiding identification failure caused by signal drift.

[0049] The application adopts the peak-mismatch embedding and echo phase-locked regulation mechanism to actively complete the absorption of rhythm difference and phase convergence before the watermark signal converges, ensuring the uniformity and identification clarity of the watermark structure at the final node. By dynamically regulating the embedding time spectrum and rhythm stretching operation, the watermark signal forms a rhythm coordination state in the data aggregation stage, effectively avoiding the cancellation or interference problem caused by signal superposition, thereby maintaining the integrity of the data tracking chain and the stability of the watermark identification. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced. Obviously, the drawings in the following description only represent some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0051] Figure 1 The method flowchart of the enterprise financial data sharing security processing method based on privacy calculation of the present application.

[0052] Figure 2 The module schematic diagram of the enterprise financial data sharing security processing system based on privacy calculation of the present application. DETAILED DESCRIPTION

[0053] Example implementations will now be described more fully with reference to the accompanying drawings. Example implementations may, however, be implemented in many different forms and should not be construed as limited to the examples set forth herein; rather, these example implementations are provided so that this disclosure will be thorough and complete, and will fully convey the inventive aspects to those skilled in the art.

[0054] The present application provides a method for sharing and processing enterprise financial data securely based on privacy calculation as shown in Figure 1 The method comprises the following steps:

[0055] S100, according to the time sequence and node topology information of the enterprise financial data backhaul link, constructing the space-time mapping structure of watermark propagation, and extracting the starting position of phase offset, generating a phase anchor point list;

[0056] The step proposes a processing mode based on the time sequence and node topology information of the enterprise financial data backhaul link, constructs a space-time mapping structure of watermark propagation, and extracts the starting position of the phase shift to generate a phase anchor point list. The processing mode mainly includes the following steps:

[0057] According to the actual cooperation path of enterprise financial data in the privacy computing scenario, the data flow link participating in joint calculation is sorted at the node level, and a data backhaul link topology structure covering the whole process is constructed. Specifically, in the data exchange process between multiple participants, each node represents a data processing unit, which can be a data initial provider, a computing intermediate node, or a result receiver. By tracking the complete path of data from the source node to the final result return through multiple intermediate nodes, the connection relationship of each hop node and its upstream and downstream dependency structure are marked to form a complete node topology graph. In the process of constructing the topology graph, the path weight of each connection relationship also needs to be marked, which can be represented as data jump complexity, data encryption layer number, or bandwidth occupation degree, etc. to reflect the transmission load difference brought by different paths to watermark propagation. On this basis, a clear link topology layout is formed, providing structural support for subsequent joint modeling of time and path.

[0058] On the basis of the link topology structure, the time sequence information of the enterprise financial data in the transmission process is further extracted. The time information on each link should be based on the processing order, transmission delay and calculation time of data at different nodes. After obtaining the actual transmission delay data between nodes, a time series model is constructed in order to ensure that the position of each node processed data segment on the global time axis can be accurately marked. Especially for data flow with multiple backhauls in complex paths, the length of time when it first enters the path, waits for processing at intermediate nodes, and the residence time of each jump process need to be clear. Through continuous analysis of the time sequence between nodes, a time sequence chain with hierarchical relationship can be constructed. The time chain will serve as the basis for analyzing the phase change trend of the watermark, and provide input conditions for the dynamic time dimension of the subsequent propagation mapping structure.

[0059] On the basis of the node topology and time sequence chain being constructed, the space-time mapping structure of watermark propagation is established in combination with the information of both. The core of the mapping structure is to map the dynamic trajectory of watermark in the data propagation process one by one with the spatial node position and time node sequence. By superimposing the jump path of each data packet between nodes and its transmission time, a three-dimensional space-time mapping surface is formed. The mapping surface is used to describe the phase shift path caused by encryption and decryption, encoding conversion, format deformation and other operations in the data processing process, so as to capture the cumulative change trend of the watermark signal in each jump process. Especially for the nodes where multiple paths intersect, the mutual influence and overlapping degree between different paths should be considered when constructing the mapping structure, to ensure that the watermark signal change trajectory corresponding to each path can be clearly represented in the overall structure. Through the complete space-time mapping structure, the watermark propagation trajectory can be made controllable and predictable, providing spatial and temporal double reference coordinates for subsequent anchor point positioning.

[0060] Based on the constructed space-time mapping structure, the propagation characteristics of the watermark in each data path are analyzed, the starting position of the phase shift of the watermark signal on each path is marked, and a phase anchor point list is generated accordingly. Specifically, along the time dimension on each path, the position where the watermark first changes phase is identified, that is, the starting offset point of the path is marked. The starting offset position usually occurs when the data performs the first encryption conversion or format adjustment operation across nodes, so the accurate position can be determined by combining the node characteristics and time nodes in the mapping structure. Then, according to the starting offset point on each path, the corresponding time node, spatial position, node number and other information are uniformly summarized to form an anchor point list. Each record in the anchor point list should include path identifier, offset occurrence node, corresponding time coordinate and propagation direction information, etc. The anchor point list will be the basis data for subsequent alignment and conflict prediction of the drift trajectory of each path, used to support the construction of bit guide texture and the implementation of staggered embedding strategy. Through the standardization of the anchor point list, the consistency and controllability of the watermark identification of multi-path data in complex transmission environment are further improved.

[0061] S200, based on the phase anchor point list, identifying the overlapping conflict area between paths before data aggregation, establishing a conflict window, and extracting the phase drift trajectory of each path to form a trajectory record;

[0062] The present step proposes a processing method based on phase anchor list, which identifies the overlapping conflict area between each path before data aggregation, establishes the conflict window, and extracts the phase drift trajectory of each path to form the trajectory record. This method is based on the previously constructed watermark propagation space-time mapping structure and phase anchor list, further deepening the recognition ability of the change rule of watermark signal in the transmission process of multi-path data in the privacy computing scene. To achieve this processing process, the technical scheme includes the following steps:

[0063] Based on the generated watermark propagation space-time mapping structure and phase anchor list, the multiple return paths of enterprise financial data are analyzed and the intersection nodes of each path in the data flow aggregation process are identified. Data path intersection refers to the area where two or more data paths are close in time, overlap in space, or have a trend of merging in logic. These intersection nodes are usually located in the intermediate processing unit before the joint computing platform or the result aggregation node, which is a high-risk area for watermark signal overlap or interference. In the process of identifying intersection nodes, each data stream in the watermark propagation path needs to be detected for the existence of time and space overlap trend near its propagation endpoint, and the node correspondence mapping is established based on this. The goal of this step is to find all possible path combinations that may cause watermark superposition, laying the foundation for the judgment of the conflict section in the following step.

[0064] Based on the identified path intersection nodes, combined with the offset starting point of each path in the phase anchor list, it is judged whether there is a potential conflict section between the paths. In this step, the time coordinates recorded in the anchor list should be taken as the reference to calculate the propagation time length and time offset amplitude of any two paths from the anchor point to the intersection node. If the propagation time difference of two paths is within the set range, and the anchor offset direction is similar, it is judged that there is a conflict possibility. At this time, the data carrying density, watermark embedding frequency and phase change trend in this period should be further analyzed to determine the specific boundary of the overlapping section. Such overlapping sections are defined as potential conflict sections, which are candidate intervals for building conflict windows. In the construction process, the path identification method needs to be unified to ensure that the time length, spatial span and path sequence of all potential conflict sections correspond one by one, maintaining the consistency of the processing flow.

[0065] After identifying all potential conflict sections, a conflict window structure corresponding to each set of path combinations with intersection relationships is constructed. The conflict window refers to an area within a certain period before data convergence where there is a risk of watermark overlap between paths. Constructing the conflict window requires consideration of both the time dimension and path distribution. On the one hand, a unified time framework is established according to the propagation section of each path from the anchor point to the intersection node, which is divided into multiple consecutive time segments, and the path participation relationship in each time segment is labeled. On the other hand, in the spatial dimension, the data carrying structure of each path is arranged and combined to map the possible overlapping area and overlapping order of the watermark signal in each time segment. Finally, each conflict window contains path combination information, time period division information, predicted overlap density level, and relative interference direction, which describe the cross-overlapping situation. This structure provides the basis for conflict area positioning for subsequent alignment guidance.

[0066] On the basis of the established conflict window structure, the phase drift trajectory of each path from the phase anchor point to the intersection node is further extracted to form a complete trajectory record. The trajectory record is used to depict the dynamic phase evolution of the watermark signal during data propagation. The extraction method needs to combine the continuous change trend of each path in the time axis and spatial axis in the watermark propagation space-time mapping structure, accumulate and calculate the phase change caused by each jump node on the path to form a continuous phase drift curve. When constructing the trajectory record, each path should be assigned a uniform number, and key parameters such as path starting anchor point time, each jump node position, phase drift amplitude, phase change direction, and change rate should be marked. These parameters will be used as a basic data set for subsequent generation of alignment guidance texture and development of peak avoidance embedding strategies. Through the systematic arrangement of the trajectory record, the phase change pattern and evolution law of each path during propagation can be clearly understood, so that differentiated guidance preparation can be made in advance when facing complex path superposition, and watermark cancellation or distortion caused by too high trajectory coincidence degree can be avoided.

[0067] S300, based on the phase drift trajectory record, generating an alignment guidance texture in the watermark carrier, setting an independent take-off scale for each data return path, and constructing a hierarchical alignment index;

[0068] This step proposes a processing method for generating an alignment guidance texture in the watermark carrier based on the phase drift trajectory record, and further constructs an alignment index with a hierarchical structure by setting an independent take-off scale for each data return path, to realize differentiated embedding control of the watermark signal in the multi-path convergence scenario. The specific steps are as follows:

[0069] Based on the phase evolution trend of each data path contained in the phase drift trajectory record and the jump node information, a guide reference structure for guiding the watermark embedding process is constructed in the watermark carrier. The establishment of the structure is in dual dimensions of time sequence and path number, and the node information, time span and phase drift change amplitude experienced by all paths in the propagation process are mapped to a unified watermark embedding reference interval. Each path occupies an independent calibration channel in the interval for recording its phase change behavior from the anchor point to the intersection. In the construction process, the arrangement order of each path in the guide reference structure should be consistent with the time sequence in the actual propagation process to prevent positioning intersection between paths causing embedding aliasing. At the same time, in order to avoid the formation of identification overlap in high-density path segments, equal-interval separation segments can be set between adjacent paths on the time axis to form a guide reference framework with time interval, providing clear structure boundaries for subsequent texture generation.

[0070] On the basis of the constructed guide reference structure, combined with the phase drift trajectory data of each path, a dedicated guide texture is generated for each path in the watermark carrier. The guide texture is a signal structure formed by nesting or superimposing inside the watermark embedding carrier, which is used to represent the rhythm guide mode of the specific path in the embedding process. In the generation process, the amplitude change, direction trend, inflection point number and change density in the phase drift trajectory should be used as the construction basis of the texture form, so that the guide texture corresponding to each path has the characteristics of specialization, difference and trajectory consistency. The shape of the texture can be periodic fluctuation, linear gradient or jump structure, and its internal law should be consistent with the phase drift rhythm of the path in the propagation process to form a guide channel embedded in the watermark carrier as a positioning reference for subsequent embedding of the watermark signal. At the same time, the guide textures should avoid overlapping areas, especially in the high-risk period corresponding to the conflict window, the boundary clarity between the textures should be enhanced, and the risk of overlapping interference should be reduced through spatial isolation or texture frequency adjustment.

[0071] Around each generated guide texture, an independent start scale is set in combination with the anchor time position of the path in the propagation process, to determine the initial embedding time point of the watermark signal. The setting of the start scale is the key to realize the multi-path peak-shaving embedding control. By staggering the embedding start time of different paths, the watermark signals of multiple paths are prevented from entering the embedding process at the same time, thereby reducing the signal superposition probability in the conflict window. The specific position of the start scale can be calculated based on the propagation delay of the path, the anchor time position and the guide texture density, so that the watermark of the early path enters the embedding channel in advance, and the embedding process of the late path is started at a delayed time point. To enhance the recognition ability of the start scale, a weak time identification signal and a path number label can be embedded in the carrier to mark the start reference line of different paths, thereby realizing dual positioning in the physical space and logical time axis.

[0072] After the independent start scale setting of all paths is completed, the guide texture and the start scale of each path are combined longitudinally to construct a hierarchical alignment index for supporting the differential embedding control of the watermark signal before convergence. The hierarchical structure can be divided into levels according to the path priority, embedding order or phase change complexity, each level corresponding to a specific embedding channel, ensuring that the paths are staggered in time, independent in space and staggered in frequency domain, thereby forming a watermark guide framework with three alignment capabilities of time sequence structure, frequency domain structure and path structure. The generation of the alignment index needs to collect the start scale marking information, spatial distribution information of the guide texture and path number mapping information of each path, and organize them in an embedding control reference table, so that the subsequent watermark signal can be indexed according to the map and embedded in the given path and time node in order. The index table can also be linked with the conflict window structure constructed in the previous stage to dynamically adjust the embedding strategy parameters to adapt to the real-time conflict state between paths.

[0073] S400, according to the hierarchical alignment index, performing a frequency division hierarchical peak-shaving embedding operation to redistribute the watermark signals in the overlapping conflict region to adjacent time windows to generate a peak-shaving embedding time spectrum;

[0074] This step proposes a technical processing method of performing a frequency division hierarchical peak-shaving embedding operation according to the hierarchical alignment index, which redistributes the watermark signals in the overlapping conflict region to adjacent time windows to construct a peak-shaving embedding time spectrum for controlling the embedding rhythm of the watermark. Based on the hierarchical alignment index constructed in the previous step, the phase drift behavior between paths, the guide texture distribution state and the positional relationship of the conflict window are considered to ensure that each path adjusts the embedding plan within a given time range, thereby avoiding mutual superposition interference of the watermark signals at key nodes. The specific steps are as follows:

[0075] After the completion of the hierarchical alignment index construction, the hierarchical structure, the jump scale, and the guide texture distribution in the index should be used as a reference to identify the high-density conflict areas where the paths overlap in the watermark embedding process. The identification of conflict areas requires the combination of the previously constructed conflict window. In the time period before the paths intersect, the intervals in the index structure where the paths overlap, the frequency is close, or the guide texture is concentrated should be marked, and the conflict degree should be classified. In particular, near the node where multiple paths enter the embedding process simultaneously, attention should be paid to the overlapping of the jump scale and the overlapping of the watermark start time. Preliminary relief can be achieved by adjusting the path order or re-dividing the texture boundary. On this basis, several typical conflict areas are extracted as key objects for subsequent peak-shaving adjustment, and each conflict area is assigned a unique time index label to accurately control its position and range in subsequent steps.

[0076] Around the identified conflict areas, analyze whether there are time buffer segments available for watermark redistribution in adjacent time segments, and construct a time buffer structure containing multiple micro-time windows. This structure should be stripped from the original embedding time sequence, and the idle time segments that are not occupied by watermark signals, have sparse path distribution, or have low signal interference should be classified according to their length, position, and path density. When constructing the buffer structure, the sensitivity of different paths to time accuracy should be considered to ensure that the adjusted embedding points do not destroy the continuity and rhythm integrity of the guide texture in the path. In addition, the buffer segments should be compared and marked with the original embedding interval on the time axis, recording the time distance of each buffer segment relative to the conflict area, the signal interference probability, and the path compatibility, to provide a selectable target set for the next embedding redistribution operation.

[0077] After the completion of the buffer structure construction, based on the path information in the hierarchical alignment index, the watermark embedding points originally located in the conflict area are redistributed, and these original embedding points are moved one by one to the corresponding buffer segments to achieve spatial position separation and time rhythm separation. In this redistribution process, the embedding order should be determined according to the path level, with high-priority paths occupying the buffer time segments closest to the original position, and low-priority paths being sequentially delayed, until all embedding requirements of the paths to be adjusted are covered. In the redistribution process, the mapping relationship between each new embedding point and the original guide texture should be maintained continuously, and the texture should be extended in fine granularity if necessary to cover the newly added time range. At the same time, the jump scale of each path should be dynamically adjusted to ensure that the paths can maintain the consistency of the overall rhythm and the coherence of the response logic under the premise of staggered start.

[0078] After the re-allocation and structure adjustment of embedding points are completed, all the adjusted embedding time points, corresponding path numbers, adjusted guide texture segments and the corresponding hierarchical information are uniformly merged to generate a set of staggered embedding time spectrum covering the whole path watermark embedding behavior. The time spectrum takes the time axis as the main axis, vertically distributes the embedding point information of each path, and horizontally arranges the take-off rhythm between paths to form a time guide framework that can be used for embedding control. In the time spectrum, the path to which each embedding point belongs, the embedding relative time, the signal adjustment amplitude and the buffer segment number where it is located should be clearly marked, so that the embedding operation can be controlled in order according to the index. With the help of the time spectrum, the watermark signal can be staggered and implanted according to the set rhythm, thereby avoiding large-area superimposed interference before data aggregation, and providing a more stable and structured input basis for the next phase of phase convergence adjustment.

[0079] S500, according to the staggered embedding time spectrum, injecting a reverse sentinel watermark at the data backhaul aggregation, performing echo lock signal adjustment, dynamically converging the phase through the rhythm stretching control mechanism, keeping the continuity and stability of the traceability link;

[0080] This step proposes a processing method based on the staggered embedding time spectrum, injecting a reverse sentinel watermark at the data backhaul aggregation stage, and dynamically converging the watermark phase through the echo lock signal adjustment and rhythm stretching control mechanism. The processing method is built on the previously generated staggered embedding time spectrum, and around the phase inconsistency and interference superposition problems of multi-path watermark signals at the aggregation node, a series of dynamic control means are used to gradually synchronize and converge the watermark signal to the target rhythm, thereby keeping the continuity and stability of the traceability link in the final stage. Specifically, the following steps are included:

[0081] According to the previously constructed staggered embedding time spectrum, combined with the aggregation time of each data path, a unified control interval suitable for the starting point of watermark convergence is identified. The interval should be located in the transition period before all paths enter the result backhaul aggregation node, and its time boundary should cover the idle period before the earliest path arrives at the aggregation node to the critical moment when the latest path completes embedding. The role of this control interval is to provide a controllable buffer area, so that all watermark signals embedded at different time nodes from different paths can be pre-adjusted and aggregated in this stage. In the identification process, the last embedding time point of each path in the staggered embedding time spectrum should be focused on, the tail structure of the time spectrum should be analyzed, the time overlap area and the path convergence trend should be analyzed, and the potential window of phase convergence should be extracted. At the same time, in order to prevent the inconsistency of watermark rhythm between paths from causing convergence failure, the length of time required for convergence interval should be determined according to the rhythm density and phase change frequency of each path, and a rhythm buffer band should be preset.

[0082] In the convergence regulation interval, guided by the path phase difference, the anti-phase sentinel watermark is injected. The sentinel watermark is a set of auxiliary signals independent of the main watermark information channel, which is used to create a small reverse disturbance before the path converges to converge the phase to the common frequency range. The injection of sentinel watermark is not for information embedding, but for phase correction as the core function, which presents as a signal rhythm with reverse phase, weak amplitude and uniform period, which is used to intervene the natural expansion trend of the path watermark, so as to produce a certain rhythm convergence tendency in the time dimension. The injection of sentinel watermark of each path should be differentiated according to the embedded rhythm in the staggered time spectrum. If the path is in the leading position of rhythm, a delayed anti-phase sentinel signal should be injected, and if it is in the lagging position, an advanced intervention signal should be injected to guide it to the convergence axis in the time axis. At the same time, in order to prevent the sentinel signal from interfering with the original watermark, the action range of the sentinel signal should be set to the middle area in the convergence interval to avoid covering the high-density segment of the original watermark.

[0083] After the injection of sentinel watermark is completed, according to the response behavior of the path watermark in the convergence interval, the echo lock signal adjustment mechanism is applied to guide all path watermark signals to produce periodic resonance in phase rhythm, so as to enter the unified rhythm rhythm. The core of the adjustment mechanism is to set a tunable phase reflection segment behind the embedded signal of each path, so that it produces an echo waveform that echoes the rhythm of the sentinel watermark when it approaches the tail end of the convergence interval. These echo segments gradually couple with the sentinel watermark through the self-adjusting frequency construction method, and gradually approach the rhythm interval of the path signal in the time scale, and finally produce the trend of phase alignment at the end of the convergence interval. This process does not interfere with the identification channel of the original watermark in structure, but adds a layer of response feedback control channel on the basis of the original watermark, so that the watermark signals originally distributed in different time periods and with obvious phase deviation gradually converge to a unified phase reference point when approaching the final convergence node, forming a watermark overlap interval, which is convenient for subsequent unified extraction and path identification.

[0084] After the echo-locked loop (ELL) adjustment takes effect, to prevent the watermark signal from misaligning again due to slight differences between paths, a rhythmic scaling control mechanism needs to be introduced. This mechanism slightly stretches or compresses the watermark rhythm at the end of the path, ensuring its length and frequency on the time axis are ultimately aligned. The execution of rhythmic scaling control requires bidirectional matching based on the echo response effect and the sentinel watermark injection intensity. By applying small adjustments to the rhythm interval at the end of the path, the beat is aligned with the target convergence rhythm line. If a path exhibits a slower rhythm at the end of the convergence interval, the time interval of its last few rhythm cycles should be slightly compressed to allow its rhythm to enter the overlapping interval earlier; if the rhythm is faster, the rhythm interval should be slightly stretched to delay the beat alignment point. During the adjustment process, it is essential to ensure that the adjusted segments do not affect the logical coherence of the original path data structure. Simultaneously, the position information and scaling ratio of all adjusted segments should be marked on the time spectrum so that the complete watermark trajectory can be recovered based on this information during the subsequent extraction and recognition stages. Through dynamic control of rhythmic scaling, all path watermark signals are eventually synchronized before the data convergence point, constructing a watermark fusion structure with unified rhythm and consistent phase.

[0085] This invention effectively addresses the path drift and phase misalignment issues arising from multi-path, multi-node financial data during privacy computation by constructing a spatiotemporal mapping structure and hierarchical alignment index for watermark propagation. By precisely extracting phase anchor points and drift trajectories, it dynamically guides the watermark embedding position and rhythm, ensuring the watermark signal maintains structural coherence and rhythmic stability throughout complex data backhaul links. This improves the tracking continuity of data identifiers and prevents identifier failure due to signal drift.

[0086] This invention employs a staggered embedding and echo-locked loop adjustment mechanism to proactively absorb rhythm differences and converge phases before the watermark signals converge, ensuring the uniformity of the watermark structure and the clarity of recognition at the final node. By dynamically adjusting the embedding time spectrum and rhythmic scaling operations, the watermark signals achieve a rhythmic coordination state during the data aggregation stage, effectively avoiding cancellation or interference problems caused by signal superposition, thereby maintaining the integrity of the data tracking chain and the stability of watermark recognition.

[0087] This invention provides, for example Figure 2 The enterprise financial data sharing security processing system based on privacy computing shown includes a watermark spatiotemporal mapping construction module, a conflict detection and trajectory analysis module, a alignment guidance index generation module, a peak-shifting embedding scheduling module, and a phase-locked loop control and echo correction module.

[0088] The watermark spatiotemporal mapping construction module constructs a spatiotemporal mapping structure for watermark propagation based on the time sequence and node topology information of the enterprise financial data backhaul link, and extracts the starting position of phase offset to generate a list of phase anchor points.

[0089] The conflict detection and trajectory analysis module identifies the overlapping conflict area between paths before data aggregation based on the phase anchor point list, establishes a conflict window, and extracts the phase drift trajectory of each path to form a trajectory record;

[0090] The alignment guide index generation module generates an alignment guide texture in the watermark carrier based on the phase drift trajectory record, sets an independent take-off scale for each data return path, and constructs a hierarchical alignment index.

[0091] The staggered embedding scheduling module performs frequency division and hierarchical staggered embedding operation according to the hierarchical alignment index, redistributes the watermark signal in the overlapping conflict area to the adjacent time window, and generates a staggered embedding time spectrum.

[0092] The phase-locked regulation and echo correction module injects an anti-phase sentinel watermark into the data return aggregation according to the staggered embedding time spectrum, performs echo lock signal adjustment, dynamically converges the phase through the rhythm stretching control mechanism, and maintains the continuity and stability of the traceability link.

[0093] The enterprise financial data sharing security processing method based on privacy computing provided by the embodiment of the application is realized through the enterprise financial data sharing security processing system based on privacy computing. The specific method and process of the enterprise financial data sharing security processing system based on privacy computing are described in the embodiments of the enterprise financial data sharing security processing method based on privacy computing. Therefore, no further description is given here.

[0094] The above only describes some exemplary embodiments of the application by way of illustration. It is not necessary to deviate from the spirit and scope of the application to modify the described embodiments in various ways for those skilled in the art. Therefore, the above drawings and descriptions are illustrative in nature and should not be understood as limiting the scope of protection of the claims of the application.

Claims

1. A method for secure processing of enterprise financial data sharing based on privacy computation, characterized in that, The method comprises the following steps: S100, constructing a space-time mapping structure of watermark propagation according to the time sequence of the enterprise financial data backhaul link and the node topology information, and extracting the starting position of the phase shift to generate a phase anchor point list; S200, based on the phase anchor point list, identifying the overlapping conflict area between each path before data aggregation, establishing a conflict window, and extracting the phase shift trajectory of each path to form a trajectory record; S300, based on the phase shift trajectory record, generating a positioning guide texture in the watermark carrier, setting an independent take-off scale for each data backhaul path, and constructing a hierarchical positioning index; S400, according to the hierarchical positioning index, performing frequency division hierarchical staggered embedding operation, redistributing the watermark signal of the overlapping conflict area to the adjacent time window, and generating a staggered embedding time spectrum; S500, according to the staggered embedding time spectrum, injecting an anti-phase sentinel watermark during data backhaul aggregation, performing echo lock signal adjustment, and dynamically converging the phase through the rhythm stretching control mechanism to maintain the continuity and stability of the traceability link.

2. The secure processing method for enterprise financial data sharing based on privacy computing according to claim 1, characterized in that, Step S100 comprises: According to the collaborative path of enterprise financial data in the privacy computing scenario, the data flow conversion link participating in joint calculation is arranged at the node level, the data backhaul link topology structure covering the whole process is constructed, and the connection relationship and path weight of each node are marked; Based on the link topology structure, the time sequence information of the enterprise financial data in the transmission process is extracted, and a time sequence chain with hierarchical relationship is constructed to mark the position of the data segment between nodes on the global time axis; Combined with the node topology structure and the time sequence chain, the space-time mapping structure of watermark propagation is established, the watermark propagation trajectory is correspondingly mapped with the spatial node position and the time node sequence, and a three-dimensional space-time mapping surface is formed; Based on the space-time mapping structure, the propagation characteristics of the watermark in each path are analyzed, the starting position of the phase shift of the watermark signal is marked, a phase anchor point list is generated, and the path identifier, offset node and corresponding time coordinate information are recorded.

3. The privacy computing-based enterprise financial data sharing and secure processing method according to claim 2, characterized in that, When generating the phase anchor point list, the starting offset position of the watermark signal is synchronously associated with the spatial coordinates in the node topology and the time nodes in the time sequence chain, the initial phase change point is determined by backtracking the path propagation process, and the anchor point corresponding relationship is established according to the propagation direction information, so as to realize the accurate positioning of the phase shift position and the unified identification of the anchor point data.

4. The privacy computing-based enterprise financial data sharing and secure processing method according to claim 3, characterized in that, Step S200 comprises: Based on the generated space-time mapping structure of watermark propagation and the phase anchor point list, the multiple backhaul paths of enterprise financial data are analyzed and recognized, the intersection nodes of each path in the data flow aggregation process are recognized, and the node corresponding relationship mapping is established; Based on the identified path intersection nodes, the offset starting point of each path in the phase anchor point list is combined to judge the potential conflict section between the paths, and the time boundary and spatial span of the overlapping section are determined; Based on the identified potential conflict section, the conflict window structure is constructed around the path combination with intersection relationship, the continuous time segment is established combining the time dimension and path distribution, and the path participation relationship and overlapping density level are marked; On the basis of the constructed conflict window, the phase drift trajectory of each path from the phase anchor point to the intersection node is extracted, and the path starting time, node position, drift amplitude and change direction are recorded to form a trajectory record.

5. The privacy computing-based enterprise financial data sharing and secure processing method according to claim 4, characterized in that, When constructing the conflict window structure, the path is divided into continuous time segments on the time axis, the overlapping density level and the interference direction are determined by classifying the overlapping degree of the watermark signal in the time segment, and the time and space joint mapping is established according to the path distribution difference, which is used to limit the conflict range and interference boundary of the watermark signal before data convergence.

6. The privacy computing-based enterprise financial data sharing and secure processing method according to claim 4, characterized in that, Step S300 comprises: Based on the phase evolution trend and jump node information of each data path in the phase drift trajectory record, a guide reference structure is constructed in the watermark carrier, and the node information, time span and phase change amplitude of each path are mapped to a unified reference interval; In combination with the phase drift trajectory data of each path, a path-specific guide texture is generated in the guide reference structure, so that the guide texture is consistent with the phase drift rhythm of the path, and the overlapping area between the textures is avoided; Around each generated guide texture, an independent take-off scale is set in combination with the time position of the anchor point of the path, the initial embedding time point of the watermark signal is determined, and a time identification signal and a path number label are embedded in the carrier; After all the paths complete the independent take-off scale setting, the guide texture and the take-off scale of each path are combined longitudinally to construct a layered alignment index for guiding the differential embedding control of the watermark signal before convergence.

7. The privacy computing-based enterprise financial data sharing and secure processing method according to claim 6, characterized in that, The layered structure of the alignment index is hierarchically divided according to the path priority and embedding order, each level corresponds to a specific embedding channel, and the paths are sequentially started in time, independently distributed in space, and staggered in frequency domain, so that the watermark signal remains rhythm continuous and avoids embedding interference before convergence.

8. The privacy computing-based enterprise financial data sharing and secure processing method according to claim 6, characterized in that, Step S400 comprises: According to the hierarchical structure, the take-off scale and the guide texture distribution information in the layered alignment index, the high-density conflict area with overlapping trend in the watermark embedding process is identified, and the conflict area is labeled hierarchically; Around the identified conflict area, analyze the time buffer segment available for watermark redistribution in the adjacent time segment, construct a time buffer structure, and record the time distance and path compatibility of the buffer segment and the conflict area; Based on the time buffer structure, the watermark embedding point located in the conflict area is executed to perform redistribution operation, the embedding point is moved into the corresponding buffer segment, and the path take-off scale is dynamically fine-tuned to maintain rhythm consistency; After completing the embedding point redistribution, the embedding time point, guide texture segment and level information of each path are merged to generate a staggered embedding time spectrum covering the watermark embedding behavior of all paths.

9. The secure processing method for enterprise financial data sharing based on privacy computing according to claim 6, characterized in that, Step S500 comprises: According to the staggered embedding time spectrum combined with the convergence time of each data path, a unified control interval suitable for being used as a watermark gathering starting point is identified, and the time boundary and rhythm buffer band of the gathering interval are determined; In the gathering control interval, guided by the path phase difference, inject an anti-phase sentinel watermark to make the watermark signal have a rhythm convergence tendency in the time dimension and avoid interfering with the original watermark high-density segment. After the sentinel watermark injection is completed, an echo phase-locked signal adjustment is applied to the path watermarks to produce periodic resonance in the phase rhythm of the path watermark signals and form a phase alignment trend at the end of the convergence interval; After the echo phase-locked adjustment, a rhythm stretching control mechanism is introduced to slightly stretch or compress the path end watermark rhythm, so that all path watermark signals complete rhythm convergence and maintain phase consistency before the data convergence point.

10. A system for secure processing of enterprise financial data sharing based on privacy computation, for implementing the method for secure processing of enterprise financial data sharing based on privacy computation according to any one of claims 1-9, characterized in that, The system includes a watermark space-time mapping construction module, a conflict detection and trajectory analysis module, an alignment guide index generation module, a staggered embedding scheduling module, and a phase-locked regulation and echo correction module: The watermark space-time mapping construction module constructs a space-time mapping structure of watermark propagation according to the time sequence and node topology information of the enterprise financial data backhaul link, extracts the starting position of the phase offset, and generates a phase anchor point list; The conflict detection and trajectory analysis module identifies the overlapping conflict area between paths before data convergence based on the phase anchor point list, establishes a conflict window, and extracts the phase drift trajectory of each path to form a trajectory record; The alignment guide index generation module generates an alignment guide texture in the watermark carrier based on the phase drift trajectory record, sets an independent take-off scale for each data backhaul path, and constructs a hierarchical alignment index; The staggered embedding scheduling module performs frequency division and hierarchical staggered embedding operation according to the hierarchical alignment index, redistributes the watermark signals in the overlapping conflict area to adjacent time windows, and generates a staggered embedding time spectrum; The phase-locked regulation and echo correction module injects an anti-phase sentinel watermark during data backhaul convergence according to the staggered embedding time spectrum, performs echo phase-locked signal adjustment, and dynamically converges the phase through the rhythm stretching control mechanism to maintain the continuity and stability of the traceability link.

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