A privacy data self-cleaning system and method based on near-field physical chip circuit breaking and sandbox architecture

CN122579135APending Publication Date: 2026-08-14王子兮
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-22
Publication Date
2026-08-14

AI Technical Summary

Technical Problem

传统的合规报税与流转软件,由于深度依赖宿主实名制环境与第三方多级网络授权,无法在零暴露面的状态下实现客体组件隐私资金与生活行为链的绝对隐形清理

Benefits of technology

[0012]第二、国家税务风控网关单向无感注入,在月底执行全量数据自毁清理的最后一时刻,沙盒系统机器级全自动化将当月全生命周期对账流水文件,打包封装为带有数字安全签名的文件压缩明细,直接通过专用单向信道,自动单向通过邮件发送至主管税务局风控网关终端信箱执行合规自首修正申报备案,无需客体手动物理操作,保持零缺陷特征标识。

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Abstract

This invention discloses a privacy data self-cleaning system and method based on near-field physical chip circuit breaking and sandbox architecture, belonging to the fields of distributed data security and mobile terminal risk control technology. In existing technologies, the private behavioral chains and fund flows of high-security entities face high-frequency data detection and behavioral locking by unauthorized external components at the device level. Traditional compliance software cannot achieve invisible cleanup of privacy funds and lifestyle behavioral chains in a zero-exposure state. The method of this invention includes: deploying an independent sandbox environment at the target mobile communication hardware layer; establishing a near-field wireless communication physical connection between the sandbox environment and the physical chip of the legal identity document; triggering physical disconnection and data cleanup of the sandbox data bus when the physical connection is broken or the device is locked and inactive for a preset threshold time; and automatically packaging and sending locally stored data to a tax risk control gateway through a one-way encrypted channel to complete compliance reporting. This invention is applicable to the fields of asset risk control, privacy protection, and tax compliance management for high-net-worth individuals.
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Description

Technical Field

[0001] This invention relates to a privacy data self-cleaning system and method based on near-field physical chip circuit breaking and sandbox architecture, belonging to the field of distributed data security and mobile terminal risk control technology. Background Technology

[0002] With the increasing frequency of global digital collaboration and mobile terminal network interactions, the daily private behavior chains and liquidity management of high-security entities (hereinafter referred to as object components) face long-term challenges from device-level high-frequency data detection and behavioral tracking by unauthorized external entity components (hereinafter referred to as non-cooperative components). Under current technological conditions, non-cooperative components often comprehensively monitor the private consumption data flow, mobile application calls, and physical living bus of the object component through onshore host systems, multi-level account approval chains, and malicious programs. Any micro-interaction fluctuation of the object component will trigger the background risk warning of the non-cooperative component in advance, resulting in the object component being in a state of restricted behavior and forced privacy monitoring for a long time. Traditional compliance tax reporting and circulation software, due to its deep reliance on the host real-name system environment and third-party multi-level network authorization, cannot achieve absolute invisible cleanup of the object component's private funds and life behavior chains in a zero-exposure state. Therefore, designing a decentralized privacy sandbox system that is completely decoupled from the host account, operates independently, can take over the entire flow of life data, irreversibly cleans and destroys local data at the end of the month, and automatically injects transaction files into the national tax risk control gateway for system compliance cleanup is a technical bottleneck that urgently needs to be solved in the global licensed risk control and security field. Summary of the Invention

[0003] To overcome the above-mentioned technical deficiencies, the present invention provides the following core technical solution:

[0004] The system employs near-field hardware circuit breaking and asymmetric dynamic authentication initialization. At the underlying layer of the physical mobile communication hardware (a brand-new, unblemished hardware device provided by the execution component), an independent security sandbox is deployed seamlessly. The system forcibly rejects and physically blocks high-exposure authentication methods such as fingerprints and static numeric passwords, and fully implements the following near-field hardware chip circuit breaking, no-operation lockout, and dual iris flow code authentication algorithms:

[0005] (1) Near-field hardware disconnection characteristics of physical document chip: The system establishes hardware-level cascading locking conditions at the bottom layer. The sandbox environment must establish a near-field wireless communication physical contact connection with the physical entity chip of the unique legal identity document (including the unique anonymous chip internal hash). System forced update lock: Once the physical near-field wireless communication between the physical document chip and the terminal hardware is physically disconnected, or the replacement terminal triggers the system screen lock state and the inactivity time reaches the 30-second cutoff line, the sandbox environment data bus will trigger an irreversible physical cut-off power-off self-cleaning within two milliseconds. The front-end interactive interface will be immediately hidden, and the data stream will be fully rolled back, absolutely blocking any unauthorized non-cooperative components from implementing brute-force cracking or forced screen opening detection capabilities at the physical level.

[0006] (2) Dynamic Dual Authentication Bus: Under stable conditions where the physical document chip is in near-field contact and the 30-second lock is not triggered, the system pre-triggers and triggers only the dual-lock authentication of the live iris biometrics of the object and the anonymous high-frequency dynamic random verification code issued by the offshore authority. The object is bound to a personal identity code, and it is strictly prohibited to leave any plaintext biometric identifiers on the onshore local machine or at the application terminal.

[0007] (3) Cross-platform life-level full data flow takeover and confusion of consumption behavior characteristics: Sandbox application system fully cascades and takes over the underlying financial control and interaction bus of all life, travel, finance and instant messaging application systems under the name of the object; full data flow application sandbox virtualization image takeover, the system takes over all the daily consumption purchase, business travel and interaction expense data of the object through the sandbox virtualization image underlying, and executes them all within the sandbox boundary, completely stripping away all detection capabilities of the original system host or external components.

[0008] (4) The independent program for creating a private bank account is downloaded to the system sandbox and remains silent: The prerequisite is that, after completing tax compliance, the enterprise under the name of the object component and any actual investment income can directly request the finance department to transfer a portion of the tax-paid profits unilaterally to the newly opened private account. The amount of this transfer can be dynamically adjusted according to the company's operating conditions and will not affect the normal operation of the company's cash flow. This serves as the basis for the normal, high-quality use of the system sandbox and the provision of a sense of security.

[0009] (5) Machine-level fuzzy coding of consumer behavior characteristics: The system automatically performs obfuscation coding on the transaction objects and geographical coordinates of all called life-related applications to eliminate all social relationship tracking basis of unauthorized components.

[0010] (6) Periodic clock-triggered data self-destruction and automated national tax compliance reporting: This system establishes a supreme sovereign compliance self-cleaning mechanism with read-write separation to create an insurmountable national-level tax payment barrier.

[0011] First, the data at the end of each natural month is subject to a self-destructing feature, with a natural cycle clock trigger established at the sandbox layer. At the last moment of each specific natural month (the end-of-month deadline), the system kernel automatically triggers a full-data self-destructing cleanup algorithm. Within two milliseconds, the system automatically erases, shreds, and cleans up all life consumption records, instant messaging details, and financial data stored locally on the object's replacement terminal, leaving no local physical residue and maintaining the object's entire family's social relationship exposure in a vacuum-denoised and stable state for a long period.

[0012] Secondly, the national tax risk control gateway performs one-way, seamless injection. At the last moment of the month when the full data self-destruction cleanup is performed, the sandbox system automatically packages the monthly full lifecycle reconciliation transaction files into a compressed file with a digital security signature. This compressed file is then sent directly to the competent tax bureau's risk control gateway terminal mailbox via a dedicated one-way channel to perform compliance self-surrender correction declaration and filing. No manual physical operation is required from the subject, maintaining a zero-defect feature.

[0013] Third, the sovereign compliance defense line is reverse-penetrated and locked. Due to the existence of long-term, cross-period, stable, high-frequency tax payment and automated tax reporting evidence, the national anti-money laundering system and foreign exchange gateway system will automatically issue a compliance whitelist license mark to the account. Any unauthorized component that attempts to spy on or illegally control the capital chain through any illegal data method will directly trigger the automatic alarm cascading of the central anti-money laundering bus, making it bear the corresponding legal responsibility in accordance with the law. Attached Figure Description

[0014] This invention has no accompanying drawings. Detailed Implementation

[0015] Note: This section is used to extend the abstract technical standards described in the invention to specific commercial and application scenarios to demonstrate their practical industrial applicability.

[0016] Example 1: An anomaly clearing system and method based on the non-positive correlation fitting between physical outbound records of warehouse management system (WMS) and financial transaction timestamps.

[0017] 1. Micro-level Vulnerabilities and Problems: This implementation plan targets the long-standing issue of asset retention and loss within specific medium-to-large-sized retail supply chains, bulk commodities, or specific franchised education and training consulting institutions (hereinafter referred to as the parent company). Senior financial officers and executives within the company (non-cooperative components) colluded with external logistics and freight forwarders, exploiting the information decoupling between the financial accounting system and the physical warehouse system. Through malicious alteration of item codes, falsified invoices, and offsetting invoices, they fabricated numerous fictitious transactions on the system's books, creating the appearance of "bulk franchised goods buyouts or fictitious sales." Traditional onshore lawyers and risk control directors, lacking detailed information, were completely misled by the deliberately fabricated false data during audits, leading to continuous asset loss.

[0018] 2. System Gateway Control Flow for All: The system's sandbox program risk control kernel completely blocks all human factors, false contracts, and forged reports, preventing their access. The system hardware network gateway unidirectionally retrieves the original physical outbound authorization timestamp record of the physical goods corresponding to the specific involved item code from the backend of the physical warehouse management system or the customs transit bus. The system kernel forcibly performs a distributed comparison between the frequently scrolling sales numbers on the financial side and the outbound volume at the bottom layer of the warehouse management system. Once the global algorithm detects that the off-balance-sheet sales frequency of a specific item number is densely clustered and increasing, while the actual outbound release record of that item number in the physical warehouse is zero (i.e., the physical outbound volume of the warehouse management system is zero, and the physical goods have not been moved), the system determines that it belongs to false trading, embezzlement, and money laundering. The sandbox environment automatically packages the details of the misaligned inventory flow just before the end-of-month settlement deadline and sends them unidirectionally to the supervisor's tax risk control gateway terminal mailbox to establish a sovereign tax barrier. The industrial and commercial gateway initiates a forced automatic reset of equity shares and triggers legal proceedings against relevant personnel.

[0019] Example 2: An asymmetric anti-money laundering algorithm and sandbox device based on the ratio of the distance of account transfer amount to the period of month time.

[0020] 1. Micro-level Vulnerabilities: This embodiment targets the characteristics of cross-border "ant-moving" (small-scale, irregular) repatriation of profits by an internal, non-cooperative team colluding with offshore illicit industries to transfer embezzled and evaded profits to anonymous shell company accounts in sensitive overseas jurisdictions (such as the Cayman Islands and the Virgin Islands). The internal, non-cooperative actuarial team is extremely familiar with the hard large-amount warning thresholds of traditional risk control systems (such as specific anti-money laundering systems). To avoid automatic system alerts, they deliberately manipulated timestamps, lengthening the transfer cycle. Within a 24-month period, they broke down huge rebates into seemingly scattered, small, and irregular amounts, transferring them in batches back to multiple private accounts of relatives within China for reconciliation.

[0021] 2. System Gateway Control Flow for All Users: The main control terminal (a specific encrypted laptop terminal) accesses 20-year cold-stored bank transaction details files under the name of the suspected domestic entity via a write-only one-way channel. The system forcibly executes kinematic calculation formulas, forcibly capturing the total amount of funds regularly transferred out within a specific period of the private account's transaction history (as the numerator of the distance), dividing it by the natural month cutoff line of the transfer period (as the denominator of time), and calculating its absolute speed transfer frequency. The system determines the characteristic flow; once the system detects this speed parameter (transfer frequency), in multi-dimensional inter-period comparison, the average characteristic tail of its statistical waveform converges regularly and unbiasedly within a narrow probability range of 5.7%, 5.8%, and 5.9% (i.e., non-positively correlated infinitely approaching the 6% offshore rebate target). The system determines that this is a cross-border money laundering activity involving the loss of official assets, completely stripped of interference noise from daily consumption and normal business transactions. Within two milliseconds, the sandbox environment establishes a whitelist of the highest tax payment barriers, triggering an on-site operation by the public security economic investigation department. The cyber security department then carries out industrial-grade, comprehensive demagnetization and physical destruction of the server hardware, completing a thorough cleanup.

[0022] Example 3: A Self-Cleanup System for Anti-Leakage and Anti-Fraud Based on Near-Field Decryption of ID Card Chips and One-Write-Only Sandbox Control Chamber

[0023] 1. Micro-level Vulnerabilities: This implementation plan addresses the serious human interference, reverse probing, and information leakage issues that plague traditional consulting, auditing, and training compliance agencies during the initial information gathering phase. Medium to large-scale clients (the affected parties) often discover problems but are unsure how to handle them. During the initial briefing at the reception desk, with assistants or lawyers, there's a tendency to engage in excessive small talk and emotional outbursts. In the face of real-world efficiency, this creates unnecessary information barriers and undermines the integrity of details. This makes it extremely easy for core case information to be intercepted by uncooperative individuals planted within the organization, allowing them to prematurely inform relevant personnel. Furthermore, compliance officers are easily bribed through various means, such as profit-sharing and financial compensation for overseas children, resulting in the entire risk control system operating with inherent flaws.

[0024] 2. System Gateway Control Flow for All Users: This system forcibly establishes a three-layer decoupled, leak-proof, and isolated absolute control gateway for all users through software and hardware processes, physically isolating and cutting off human factors.

[0025] First, the front desk is physically isolated via a gateway, ensuring complete physical isolation of the permissions of ordinary front desk staff. Their sole responsibility is to receive, guide, and soothe the client's emotions; they are absolutely prohibited from inquiring about, recording, or taking notes on any micro-level information related to the case.

[0026] Secondly, the physical sandbox cabin provides physical isolation, with the subject entering a completely isolated and quiet room equipped with electromagnetic shielding and free from external wireless signals. The room contains a customized terminal with a secure, locked-down operating system. The subject must hold their personal legal ID card with the chip near the reader for hardware decoding before they can open the screen and fill in core information with a single click. The subject must independently input the internal personnel invoice header and cargo code information in an environment without external detection capabilities.

[0027] Third, a one-way write-only data channel is used. Data is directly and unidirectionally injected into the underlying motherboard of the encrypted laptop terminal in everyone's possession through this write-only, irreversible channel. Executors have no right to intercept or probe this data. Everyone refrains from socializing, completing analysis and decision-making from the back end, and then unidirectionally distributing task orders to subordinates. Subordinates then use specific analysis tools to retrieve data and create charts, organizing the analyses provided by everyone into a compliant and archiveable work format.

[0028] Example 4: A Forensic-Grade Embodied Clinical Sampling and Psychological Self-Purification System and Method Based on Physical Sandbox-Based Anti-Holding Switching

[0029] 1. Microscopic Vulnerabilities: This example uses reverse engineering to dismantle the "path dependence and format compliance illusion" deliberately fabricated by senior internal finance personnel in high-tech intangible asset licensing and long-term chip buyout contracts. While high-tech hardware and long-term chips may be small in scale, their premiums and R&D costs are extremely high. Entering the market inevitably requires a long trial period to verify whether they meet public demand and can generate genuine commercial premiums. When forging the bearer royalty fee buyout agreement for the Cayman Islands shell company, the senior internal finance team focused solely on financial figures. Every piece of data they produced was designed to present the lawyers, with their linear, liberal arts-oriented thinking, with the "perfectly stamped compliance" they desired. The lawyers were forced to sift through piles of documents, completely passive and lacking information.

[0030] 2. All system gateways control the flow, and all entities establish highly accurate first-principles reverse-engineering semantic reconciliation gateways. The system physically shields and isolates access permissions for all contract texts, including account details and invoice headers, preventing them from being read. All entities determine the characteristic flow, and the system kernel forcibly sets the initial independent variables to the parent company's industrial trial period premium and equivalent R&D debugging costs (as the profit and loss constant boundary). It reverse-engineers high-tech intangible asset buyout contracts. If the contracts are genuine, to prevent the parent company from becoming an unreasonable transaction with absolute losses, the contract terms must include clauses such as "the supplier's equivalent long-term technical support, system technical maintenance, and compensation for further debugging in integration and layout." Once the system detects the absence of the above-mentioned technical maintenance features (i.e., the fraudulent contract does not have such clause elements), and the frequency of cross-period transfers from the suspected account divided by the monthly time period regularly converges to a stable range within the extreme value range of 5.7% to 5.9%, the system will detect the fraudulent transactions. Guided by the legal team, the client's old mobile phone, which had been subject to unauthorized data surveillance, was forcibly isolated in a specially designed, enclosed space. A brand-new, clean mobile phone, individually signed by the client, completely formatted and wiped clean offshore, and running a zero-trust operating system, was then provided on-site, instantly replacing the client's security barrier and ensuring their sovereignty. Simultaneously, a licensed medical team collected air samples from the home environment and original samples of chronic drug-induced depression crystals within the enclosed space, which were then sent for forensic toxicology testing. A licensed forensic expert conducted a clinical auscultation assessment of the client's long-term severe headaches and disability, and jointly signed and issued the original clinical psychological damage assessment report, which serves as the basis for initiating criminal proceedings. This establishes the highest level of compliance, activates the business registration and real estate gateway, forcibly and automatically reverts the ownership of the company's major shareholder's equity, and triggers legal proceedings against relevant personnel.

[0031] Example 5: A Sandbox System and Method Based on Extraction of Psychological and Behavioral Features of High-Net-Worth Clients and Semantic Anti-Fraud Self-Cleanup

[0032] 1. Microscopic details and loopholes: Based on the extraction of the client's psychological and behavioral characteristics and the semantic anti-fraud cascade self-cleaning control loop, this system provides a non-contact behavioral intervention and hidden evidence extraction channel for high-net-worth authorized subjects in a state of mental trauma and fatigue at the bottom layer of the sandbox virtualized image.

[0033] 2. Periodic, Unobtrusive Behavioral Guidance Prompt Window (Targeting the Elimination of Shame in Medical Treatment): The system sandbox application runs continuously in the front end, automatically triggering a neutral, pressure-free interactive prompt window daily (e.g., "Do you need to record your current status? Please write down your feelings"). This module, through a mechanism with zero real-world pressure and zero human intervention, alleviates the psychological resistance caused by the client's long-term decision-making pressure and emotional interference from external management components, and enables symbol input functionality.

[0034] 3. Input Symbol Semantic Comparison and Emotional Authority Confirmation Algorithm (for Anti-Control Flow Recovery): The moment the client edits the text, the background kernel calls the semantic feature recognition engine. After the system performs matching and judgment on long-term internal friction and threatened features in the text, a neutral, emotionless emotional authority confirmation diagnosis announcement immediately pops up, proving that the state is an objective physical stress response, eliminating the influence of external components on mental control, and inducing the client's prefrontal logical thinking to regain control.

[0035] 4. Monthly Notes Summary Module and Inventory Misalignment Data Cascading Closed Loop (For Full-Scale Crackdown): The system establishes a monthly clock cycle verification mechanism. When the monthly clock cycle is triggered at the end of the month, the monthly notes summary module automatically performs graph theory analysis on the client's 30 days of raw data, providing physiological suggestions on whether to seek medical treatment. Simultaneously, at the last moment before the local data is executed for self-destruction and formatting cleanup, the system kernel forcibly merges the text of the client's alleged harm extracted by this module with the misalignment information of the physical outbound data in the warehouse management system, generating a final investigation report. This report is sent unilaterally via email to the competent tax authority and economic crime investigation gateway terminal mailboxes, establishing a tax payment barrier and initiating the crackdown, triggering legal proceedings against relevant personnel.

[0036] Example 6: A Note-Taking System and Method Based on Highly Addictive User Stickiness Deadlock and Sandbox Embedded Hardware Leakage Prevention

[0037] 1. Microscopic details and vulnerabilities: The system features an embedded sandbox-based, fixed, highly sticky, leak-proof privacy note control loop. This system establishes a highly sticky, zero-asset-loss distributed privacy note system based on a combination of neurobehavioral mechanisms and hardware circuit breaker isolation, locking the control process.

[0038] 2. Fixed Embedded Dependency Locking Mechanism in the Sandbox Environment (for Enhancing User Engagement): The system forcibly sets the privacy note plugin as an inseparable component, firmly embedded in the underlying layer of the sandbox environment. A certain number of daily, unobtrusive venting prompts trigger a corresponding number of symbol input logic takeover mechanisms. Through long-term, high-frequency online emotional empowerment diagnostic notifications and monthly self-cleaning note summary modules, the system implements asymmetric cognitive enhancement for authorized users, fostering user engagement and eliminating user migration intentions.

[0039] 3. Zero Cloud Network Exposure Hardware Circuit Breaker to Prevent Data Leakage (for Information Loss Cleanup): This module rejects any public cloud transmissions and off-table plaintext cold storage. Transaction entry data streams are locked within a local encrypted mirror space. System kernel locking: Once the physical ID card chip's near-field hardware circuit breaker is detected to be open, or the device is locked and inactive for 30 seconds, the local memory immediately initiates irreversible self-destruction and formatting cleanup, rendering any unauthorized external component detection capabilities zero.

[0040] 4. End-of-month cycle clock anti-fraud summary: When the end-of-month clock cycle is triggered, this embedded note-taking system automatically packages and summarizes the details just before self-destruction, performs a hash comparison with the misaligned information of the physical warehouse inventory and outbound data, and sends it unidirectionally to the competent tax and economic investigation gateway mailboxes via email, establishing a tax payment barrier and initiating criminal prosecution and legal proceedings against relevant personnel.

[0041] Example 7: A system and method for enterprise restructuring based on sandbox-based media anti-traffic auditing and sales behavior mechanism.

[0042] 1. Micro-level Vulnerabilities: Automatic Gateway Penetration via QR Codes and Phone Number Hash Features in Compressed Media Stream Destination: This system directly accesses the underlying layers of the enterprise's financial and warehouse management systems with the highest privileges. When frontline personnel import compressed packages or record media streams through the sandbox program, this module performs binary-level unpacking of the file stream. The background data processing system immediately initiates extraction and detection of "phone number characteristic numeric strings" and "QR code matrix pixel features." Once diversion characteristics are confirmed, the system terminates access permission and blocks the flow, completely eliminating the hidden asset loss caused by off-balance-sheet profits being transferred to private channels.

[0043] 2. Neutral Behavioral Inertia Damping and Inefficient Salesperson Spontaneous Resignation Cleanup Algorithm: The system mandates a customized sales front-end interface, eliminating any administrative rewards or penalties. When salespeople transfer approved video asset packages to potential downstream clients, the system interface locks, requiring them to include a neutral prompt: "Please allow the recipient to determine the suitability of the content." This module breaks the mindset of traditional aggressive telemarketing through long-term, non-rewarding, and non-punitive neutral operational inertia damping. It leverages the inability of inefficient employees to adapt to the product growth path, guiding them to voluntarily submit resignation applications, achieving organizational self-cleanup with zero labor arbitration costs.

[0044] 3. Combined Restriction on Aggressive Telephone Sales and Tax Payment Barriers: The system enforces behavioral red lines for retained high-performing sales personnel from the restructuring effort. All unauthorized aggressive sales tactics and harassing telephone calls are prohibited. A background audio and log monitoring mechanism locks the system: Once three instances of aggressive sales tactics are detected, the system will automatically issue a shutdown order and freeze all operational privileges for that employee account.

[0045] Example 8: A Counter-Espionage and Asset Preservation Method Based on Semantic Comparison of Logistics Micro-Constants and Equipment Cold Storage

[0046] 1. Microscopic details of vulnerabilities and lesions: Anti-fraud control loop based on the semantic comparison of microscopic constants of geographical industry and hardware cold storage: This system establishes a non-contact, shadow mirror anti-fraud and internal personnel cleanup control system for the audited entity's financial components under the state of asset loss and contamination, and the system locks the control process.

[0047] 2. Physical Layer Cold Chain Insurance Premium Constant Extreme Value Hash Comparison Algorithm (Targeting Financial System Data Pollution): The system is forcibly configured to refuse access to modified financial statements within the affected entity (biopharmaceutical company). It directly links to the logistics and warehousing department to retrieve freight forwarding insurance policies and recent transaction details. The system forcibly locks the cold chain logistics insurance premium rate to a physical micro-threshold of no more than 0.8%. A 0.9% limit circuit breaker constant is set on the system console to drive real-time comparison of transaction data, extracting dense cluster differences caused by offsetting with false invoices, and locking in complete evidence of embezzlement.

[0048] 3. Anti-espionage detection algorithm based on the semantic similarity of the underlying cold storage image of the equipment (targeting intern leaks): The system, with the highest privileges, retrieves data from the cold storage image of the underlying motherboard of the office-end copying hardware. The system automatically captures the full copying text features of the specified suspected employee (paid intern) since their registration. The semantic matching engine automatically calculates the document type dispersion. Once it is confirmed that the semantic similarity hash value of the copied documents and the name of the target company in this case has a high frequency and dense overlap, exceeding the dispersion threshold for normal interns, the system determines that it has triggered espionage and leakage characteristics and terminates all of its operation privileges.

[0049] 4. Cascaded Consolidation of Tax Payment Barriers: Just before the system completely self-destructs and cleans up its local memory, it automatically merges and packages the premium misalignment difference, copier similarity espionage features, and textual evidence of the client's infringement captured in Part 2 of this section into an encrypted file. This file is then sent unilaterally via email to the competent tax and economic crime investigation gateway mailboxes, establishing a compliant tax payment barrier and initiating criminal proceedings, triggering legal accountability procedures against relevant personnel.

[0050] Example 9: A Data Extraction System and Method Based on Off-Duty Clock Damped Non-Interference Penetration and Hardware Cold Storage

[0051] 1. Microscopic Vulnerabilities: At the bottom layer of the sandbox virtualization image, this system provides a control loop for the seamless capture of public hardware cold storage data of internal management components (suspected leak or spy IDs) in a state of zero feature exposure and prevention of premature exposure, and the system locks the control process.

[0052] 2. Off-duty clock cycle behavioral damping penetration mechanism (targeting the elimination of administrative and internal personnel's protective capabilities): The system establishes monitoring for a specific time window (17:30 to 18:00 off-duty clock cycle) for the internal personnel components of the audited environment. Leveraging the inertia of personnel components' eagerness to leave and clock out, the system locks onto neutral interactive guidance commands (e.g., "Office equipment malfunction, need to use public equipment"), triggering social engineering-based seamless guidance to eliminate the protective detection capabilities of administrative and internal personnel components, achieving zero-feature exposure penetration.

[0053] 3. A Seamless Extraction Algorithm for Public Hardware Cold Storage Space (Targeting Detailed Factual Evidence): The moment internal personnel leave the office area after get off work, the system control center, in a sandbox environment with zero human intervention and zero exposure to vested interests, authorizes the retrieval of cold storage mirror data from the motherboards of public photocopying or scanning equipment. The system automatically calculates the textual semantic similarity hash value of all previous photocopying history of the suspected employee number, confirming a dense cluster of overlapping facts with those related to the company targeted in this anti-fraud case, thus completing the seamless anti-espionage determination.

[0054] 4. Cross-jurisdictional and cross-departmental tax payment barrier cascading and merging: At the last moment before the system completely destroys itself after reading in local memory, it automatically merges and packages the espionage facts of the copier image similarity, the logistics insurance premium rate limit hash comparison misalignment report, and the psychological evidence of the client being controlled into an encrypted file. This file is then reported unilaterally to the competent tax and economic crime investigation gateway mailboxes via email, establishing a compliant tax payment barrier and initiating case filing, triggering legal proceedings against relevant personnel.

[0055] Example 10: An anti-money laundering risk control system and method based on sovereign customs atomic weighing and multidimensional hash comparison of offshore financial flows.

[0056] 1. Micro-level Vulnerabilities and Leaks: This system establishes a non-contact, shadow mirror anti-fraud and asset preservation control system for the state of black-market data pollution in foreign trade involving the import and export of bulk commodities. The system locks down the control process: a multi-point decoupling and psychological detection module for internal personnel distrust of the interest chain (targeting the capture of multi-party betrayal tension): The system establishes a multi-dimensional psychological confrontation against multiple involved parties (such as related personnel components) suspected of embezzlement within the table. The system pre-sets that the three parties are in a state of game tension under the pressure of significant criminal liability, where they are "potentially capable of mutual accusation and extremely distrustful." Everyone refuses to provide personal social interaction to the front-end entity. A one-way call to the copier to store similarity comparison and capture espionage facts serves as the first trigger condition, strengthening psychological detection pressure to induce a chain of mutual accusations and eliminating all onshore information barriers.

[0057] 2. Sovereign Customs Unique Identifier and Atomic Weighing Cubic Tonnage Data Retrieval Gateway (for eliminating false financial statements): The system refuses to read any tainted financial transaction records within the group's financial statements. All individuals, utilizing the highest privileges, extract the general ledger of frequently transferred offshore funds via letters of credit (Singapore accounts) and send it to a specific encrypted email address. Simultaneously, it links with the central database of China's sovereign customs gateway, forcibly exporting the original atomic-level cubic weighing physical data from the past three years' non-ferrous metal bulk import customs declarations based on the enterprise's unique tax identification code, achieving zero-feature exposure penetration.

[0058] 3. Tonnage and Unit Price Matrix Hash Comparison and 48-Hour Anti-Escape Clock for Total Tax Payment: The control center forcibly locks the physical constant calculation formula: the total amount of offshore funds transferred divided by the offshore bulk commodity unit price per cubic meter equals the theoretical tonnage of imported physical metals. The system automatically performs real-time multi-dimensional topological hash comparison between the theoretical tonnage and the tonnage released by the sovereign customs. Once it is confirmed that there is a large-scale discrepancy between the two and no physical cargo displacement, the system immediately issues a complete judgment on cross-border money laundering and huge embezzlement. The system forcibly opens a 48-hour irreversible anti-escape lock window, locking the extreme time window for the entire family of internal personnel to flee. After 48 hours, the system completely destroys the data in local memory before the final foreclosure, and automatically packages the final legal accounting report and sends it to the competent tax and economic crime investigation gateway mailboxes via email, establishing the highest tax payment barrier and initiating a case, triggering legal proceedings against relevant personnel.

Claims

1. A privacy data self-cleaning method based on near-field physical chip circuit breaking and sandbox architecture, characterized in that, Includes the following steps: (1) Deploy an independent sandbox environment at the underlying layer of the target mobile communication hardware; (2) Establish a near-field wireless communication physical connection between the sandbox environment and the physical chip of the legal identity document; (3) When the physical connection is disconnected or the device is locked and the inactivity time reaches a preset threshold, the physical disconnection and data cleanup of the sandbox data bus are triggered; (4) The locally stored data is automatically packaged and sent to the tax risk control gateway through a one-way encrypted channel to complete the compliance reporting.

2. The method according to claim 1, characterized in that, The preset threshold is 30 seconds.

3. The method according to claim 1, characterized in that, The data cleanup includes: completely erasing locally stored life consumption records, instant messaging details, and financial data.

4. The method according to claim 1, characterized in that, The compliance reporting includes: at the end of each monthly cycle, automatically packaging the monthly transaction data and sending it one-way to the risk control gateway terminal mailbox of the competent tax bureau.

5. The method according to claim 1, characterized in that, Before the physical connection of the near-field wireless communication is disconnected or the device is locked and inactive, triggering data clearing, a pre-authentication step is also included: (1) One-way hash comparison of the iris of a living organism; (2) Dual-lock authentication of anonymous high-frequency dynamic random verification codes issued by offshore license.

6. The method according to claim 1, characterized in that, The sandbox environment takes over the underlying financial control and interaction bus of the user's lifestyle, travel, finance, and instant messaging application systems. Through the virtualized image underlying layer, it incorporates the user's consumption, procurement, travel, and interaction expense data into the sandbox boundary for execution, stripping away the detection capabilities of the original system host or external components.

7. The method according to claim 1, characterized in that, The method also includes: the system performs obfuscation encoding on the transaction objects and geographic coordinates of all invoked lifestyle applications to eliminate the social relationship tracking basis of unauthorized components.

8. The method according to claim 1, characterized in that, The method also includes: at the end of each monthly cycle, the sandbox system automatically packages and encapsulates the monthly reconciliation transaction files into a compressed file with a digital security signature, and automatically sends it to the risk control gateway terminal mailbox of the competent tax bureau through a dedicated one-way channel to perform compliance declaration and filing, without requiring manual physical operation by the subject.

9. The method according to claim 1, characterized in that, The method also includes: retrieving the original physical outbound timestamp records of the physical goods corresponding to the specific product codes involved in the case through the back-end of the logistics and warehousing system or the customs transit bus, and performing a distributed comparison between the sales number on the financial end and the outbound quantity at the bottom layer of the warehousing management system; when it is detected that the off-balance sheet sales frequency of a specific product number is increasing in a dense cluster, while the actual outbound release record of the product number in the physical warehouse is zero, it is determined to be a fraudulent transaction and embezzlement.

10. The method according to claim 1, characterized in that, The method further includes: accessing the cold storage image record of the underlying motherboard of the office terminal copying hardware with the highest privileges, automatically capturing the full copying text features of the specified employee number since the start of the registration, and calculating the file type dispersion through a semantic matching engine; when it is confirmed that the semantic similarity hash value between the copied file and the target company name has a high frequency of dense overlap and exceeds the normal dispersion threshold, it is determined to be a spy leakage feature.

11. The method according to claim 1, characterized in that, The method also includes: extracting the general ledger of offshore funds transferred overseas via letters of credit through the highest authority, simultaneously linking with the central database of the customs gateway, and exporting the original physical data of atomic-level cubic weighing of bulk import declarations based on the enterprise's tax number code; dividing the total amount of offshore funds transferred by the atomic unit price per cubic meter of offshore bulk goods using the physical constant calculation formula to obtain the theoretical tonnage of imported goods, and performing a hash comparison between the theoretical tonnage and the tonnage released by customs; when it is confirmed that there is a large-scale discrepancy between the two and no physical displacement of goods, it is determined to be cross-border money laundering and embezzlement.

12. A privacy data self-cleaning system based on near-field physical chip circuit breaking and sandbox architecture, characterized in that, include: (1) Sandbox deployment module: used to deploy an independent sandbox environment at the underlying layer of the target mobile communication hardware; (2) Near-field communication authentication module: used to establish a near-field wireless communication physical connection between the sandbox environment and the physical chip of the legal identity document; (3) Data cut-off and cleanup module: used to trigger physical cut-off and data cleanup of the sandbox data bus when the physical connection is disconnected or the device is locked and the inactivity time reaches a preset threshold; (4) Encrypted transmission module: used to automatically package and send locally stored data to the tax risk control gateway to complete compliance reporting through a one-way encrypted channel.