Airport self-service luggage check-in data security and privacy protection method

Abstract

The invention relates to the technical field of information security and intelligent transportation, and discloses an airport self-service luggage check-in data security and privacy protection method, which comprises the following steps that an encryption key is generated through a quantum key distribution technology, and the encryption key realizes secure sharing between communication equipment at two ends through quantum entanglement; the security of the key is ensured by using the quantum unclonable theorem; in the data transmission process, a homomorphic encryption algorithm is adopted to encrypt data, it is ensured that even if the data is operated in the encryption state, data content cannot be leaked, and homomorphic encryption allows addition and multiplication operations to be executed on the encrypted data without decryption. Key exchange is carried out through the quantum key distribution technology, high safety in the data transmission process is ensured, and compared with a key exchange mode depending on a traditional encryption algorithm in the prior art, the method adopts the quantum entanglement and quantum unclonable theorem.

Description

Technical Field

[0001] The present invention relates to the technical field of information security and intelligent transportation, and in particular to a method for protecting data security and privacy of airport self-service baggage check-in. Background Art

[0002] Airport self-service baggage check-in data refers to all information and data used for baggage handling between passengers and airlines in the self-service baggage check-in system. These data usually include passengers' personal information, flight information, baggage weight, size, destination, and check-in number. The self-service baggage check-in system automatically processes these data through self-service terminal equipment, simplifying the traditional manual baggage check-in process. During the self-service baggage check-in process, passengers scan their tickets or passports through the self-service terminal. After the system verifies the passenger's identity and flight information, it generates a baggage tag. Passengers weigh and mark their baggage according to the system prompts, and then the baggage is sent to the designated area. The core of the whole process is the transmission and processing of data. In order to ensure the accuracy and security of the data, this information usually needs to be encrypted and protected, and is subject to strict privacy and security regulations.

[0003] First of all, most of the existing self-service baggage check-in systems rely on traditional encryption technologies, such as SSL / TLS protocols to protect data transmission. Although these traditional encryption methods are effective in the current environment, with the development of quantum computing technology, existing encryption algorithms are at risk of being cracked. Quantum computing has the ability to break through the protection of existing encryption algorithms. Therefore, traditional technical solutions cannot effectively respond to future quantum computing threats. This makes the existing technical solutions have potential risks of data leakage when dealing with long-term storage or transmission of sensitive data.

[0004] Existing encryption methods usually require decryption before calculating or processing data. This process adds unnecessary risks to data transmission and storage. Every time data is decrypted, the security of the data is threatened. When the system processes the data, the decrypted data may be exposed to unauthorized personnel or used by hackers. Traditional encryption technology does not solve the problem of how to process data in an encrypted state, so it is impossible to achieve secure processing of encrypted data throughout the entire process. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for data security and privacy protection in airport self-service baggage check-in, which solves the problems of data security, privacy protection and dynamic authority management in the self-service baggage check-in system.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for protecting data security and privacy of airport self-service baggage check-in, comprising the following steps: Generate encryption keys through quantum key distribution technology. The encryption keys are securely shared between the communication devices at both ends through quantum entanglement, and the security of the keys is ensured by using the quantum no-cloning theorem. During data transmission, the data is encrypted using a homomorphic encryption algorithm to ensure that the data content cannot be leaked even if the data is operated in an encrypted state. Homomorphic encryption allows addition and multiplication operations to be performed on encrypted data without decryption. Dynamically adjust the permission management based on the game theory optimization algorithm, and determine the optimal access control strategy according to the access strategies of different users and the system utility. The game theory model uses the Nash equilibrium principle to make it impossible to further optimize the strategies of all users when the strategies of other users are known; Introducing quantum game models and smart contracts to enable the system to automatically respond and adjust to meet privacy regulations. The smart contracts automatically execute compliance strategies based on quantum strategies in quantum games. Use blockchain technology to record all data operations, and verify the integrity and immutability of data operations through Merkle trees to ensure the transparency of data audits.

[0007] Preferably, the quantum key distribution technology realizes key exchange through the entanglement of quantum bits. During the data transmission process, eavesdropping behavior will be detected immediately due to the collapse of the quantum state, ensuring the security of data transmission.

[0008] Furthermore, quantum key distribution technology (QKD) realizes the exchange of keys through the entanglement of quantum bits. Quantum entanglement ensures that the key sharing between two communicating devices is secure and cannot be eavesdropped. The collapse effect of the quantum state enables any eavesdropping to be detected immediately, which is crucial to ensuring the security of data transmission.

[0009] Preferably, the encryption algorithm implements data addition and multiplication operations without decryption through homomorphic encryption technology, thereby ensuring that the privacy of the data in an encrypted state is not violated and preventing data leakage during processing.

[0010] Furthermore, homomorphic encryption technology allows addition and multiplication operations to be performed on encrypted data without decryption, which means that the data is always in an encrypted state during storage and transmission, and necessary computing and processing can still be performed in the encrypted state. This encryption method greatly reduces the risk of leakage caused by the decryption process that is common in traditional encryption methods.

[0011] Preferably, the game theory optimization algorithm uses the Nash equilibrium principle to automatically select the optimal access control strategy for each user when the strategies of all users are known, thereby ensuring optimal data access and security control under various roles and permission requirements.

[0012] Furthermore, the game theory optimization algorithm automatically adjusts the system's access control strategy through the Nash equilibrium principle. Each user selects the optimal access strategy based on the known strategies of other users to maximize his or her own benefits. By solving the Nash equilibrium, the system ensures that when the strategies of other users are known, no user can unilaterally improve his or her benefits by adjusting his or her own strategy.

[0013] Preferably, the game theory optimization algorithm uses a particle swarm optimization algorithm to perform multi-objective optimization, wherein the objectives include data security, system operation efficiency, and compliance requirements, and the particle swarm optimization algorithm weighs and dynamically adjusts the access strategy according to the multi-objective function.

[0014] Furthermore, the game theory optimization algorithm is combined with the particle swarm optimization algorithm to perform multi-objective optimization. The particle swarm optimization algorithm dynamically adjusts the access control strategy by simulating the movement of particles in the search space. Each particle represents a possible strategy combination, and the algorithm searches for the optimal solution by continuously updating the position of particles.

[0015] Preferably, the quantum game model represents the privacy regulation strategy through a quantum superposition state. The quantum game model combines the quantum interference effect to automatically calculate the optimal strategy to cope with different privacy regulation requirements, thereby ensuring the compliance of the system.

[0016] Furthermore, the quantum game model represents the strategy space of privacy regulations through quantum superposition states, and automatically calculates the optimal strategy based on the quantum interference effect. It can cope with the constant changes in privacy regulations and calculate the most appropriate compliance strategy under different regulatory contexts.

[0017] Preferably, the smart contract automatically performs data protection and privacy regulation compliance checks based on quantum strategies obtained from quantum games. When changes to privacy regulations are detected, the smart contract can adjust the contract execution path through quantum strategies to ensure that the system continues to comply with new regulatory requirements.

[0018] Furthermore, smart contracts automatically perform compliance checks on data protection and privacy regulations through quantum strategies calculated by quantum game models. When the system detects changes in privacy regulations, the smart contract will automatically adjust the contract execution path to ensure that the system always complies with the latest regulatory requirements.

[0019] Preferably, the blockchain technology records data operations through a Merkle tree, the hash value of each data operation is calculated through a hash function, and the data operation is tamper-proof through a tree structure, and the root hash value of the Merkle tree ensures the integrity of all data operations.

[0020] Furthermore, the blockchain technology and Merkle tree ensure that data operations cannot be tampered with. The Merkle tree records the hash value of each data operation through a tree structure, ensuring that each operation has a unique verification identifier. This structure enables any attempt to tamper with data to be discovered in a timely manner, and ensures that every data operation in the system can be traced and verified.

[0021] Preferably, the blockchain technology stores data in a decentralized manner to ensure that the audit and traceability process of the data is open, transparent and cannot be tampered with, and each data operation is verified through a smart contract to ensure that the operation is compliant and meets privacy protection requirements.

[0022] Furthermore, the decentralized nature of blockchain ensures the transparency and security of data storage. Each data operation is encrypted and recorded on the blockchain, and all nodes can verify and store this operation information. This decentralized structure not only avoids the risk of single point failure, but also provides data integrity and immutability.

[0023] Preferably, the quantum key distribution technology is used in combination with homomorphic encryption technology, which can protect the security of data transmission in a quantum computing environment, while ensuring the privacy and integrity of data during transmission, preventing quantum computing from posing a threat to data security.

[0024] Furthermore, the combination of quantum key distribution and homomorphic encryption technology ensures the security of data in a quantum computing environment. Quantum key distribution provides secure exchange of encryption keys, while homomorphic encryption technology ensures that data can still be effectively processed in an encrypted state, avoiding the risk of data leakage brought by traditional decryption methods.

[0025] The present invention provides a method for protecting data security and privacy of airport self-service baggage check-in. It has the following beneficial effects: 1. The present invention adopts quantum key distribution technology QKD for key exchange, ensuring high security during data transmission. Compared with the key exchange method relying on traditional encryption algorithm in the prior art, the present invention solves the key leakage risk brought by quantum computing through quantum entanglement and quantum non-cloning theorem, ensuring that the key exchange process cannot be eavesdropped or tampered with.

[0026] 2. The present invention encrypts data through a homomorphic encryption algorithm, ensuring that the data can still perform calculations in an encrypted state. Unlike the solutions in the prior art that require decryption before processing data, the present invention avoids the risk of data leakage, realizes privacy protection during data transmission and processing, and ensures the confidentiality and integrity of the data.

[0027] 3. The present invention combines game theory optimization algorithm with particle swarm optimization algorithm for permission management, realizing dynamic access control. Compared with the traditional static permission management scheme, the present invention can flexibly adjust permissions according to real-time security requirements and user behaviors, solving the problem of excessive or improper allocation of permissions in traditional methods, and improving the efficiency and security of the system.

[0028] 4. The present invention records all data operations through blockchain technology and combines smart contracts to perform automated compliance checks. Compared with the traditional centralized data storage method in the prior art, the decentralized storage of the present invention ensures the immutability and audit transparency of the data, avoids the risk of single point failure, and enhances the overall stability and credibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Please see attached Figure 1 The embodiment of the present invention provides a method for protecting data security and privacy of airport self-service baggage check-in, including the following steps: Generate encryption keys through quantum key distribution technology. The encryption keys are securely shared between the communication devices at both ends through quantum entanglement, and the security of the keys is ensured by using the quantum no-cloning theorem. During data transmission, the data is encrypted using a homomorphic encryption algorithm to ensure that the data content cannot be leaked even if the data is operated in an encrypted state. Homomorphic encryption allows addition and multiplication operations to be performed on encrypted data without decryption. Dynamically adjust the permission management based on the game theory optimization algorithm, and determine the optimal access control strategy according to the access strategies of different users and the system utility. The game theory model uses the Nash equilibrium principle to make it impossible to further optimize the strategies of all users when the strategies of other users are known; Introducing quantum game models and smart contracts to enable the system to automatically respond and adjust to meet privacy regulations. The smart contracts automatically execute compliance strategies based on quantum strategies in quantum games. Use blockchain technology to record all data operations, and verify the integrity and immutability of data operations through Merkle trees to ensure the transparency of data audits.

[0032] Quantum Key Distribution First of all, quantum key distribution technology is one of the core of this method. Quantum key distribution is based on quantum entanglement and quantum no-cloning theorem, which ensures the security of keys during generation and exchange. Traditional encryption methods usually rely on fixed keys to encrypt and decrypt information, which may be threatened in the face of quantum computers.

[0033] The working principle of QKD is to generate keys through the entangled state of quantum bits. During the data transmission process, the security of the key is guaranteed by the quantum no-cloning theorem. Specifically, when a potential eavesdropper tries to monitor the key in transmission, the quantum state will collapse, resulting in traces of information tampering. Therefore, any external attack behavior can be immediately detected.

[0034] In actual operation, the communicating parties exchange entangled states of quantum bits to generate a shared key. This key does not need to be pre-distributed and is generated independently each time, ensuring the security of the key during transmission. Therefore, even with the development of quantum computing technology, key exchange based on quantum entanglement is still extremely secure.

[0035] Homomorphic encryption Next, the data encryption part uses homomorphic encryption technology. Unlike traditional encryption methods, homomorphic encryption technology allows computing operations to be performed directly on encrypted data without having to decrypt the data first. In this way, even if the data is intercepted during transmission, it cannot be illegally read.

[0036] The core advantage of homomorphic encryption is that it can operate on ciphertext, and the result of the operation is still encrypted. This encryption method not only protects the privacy of the data, but also ensures the security of the data during the processing. In the present invention, all transmitted data, including baggage check-in information and personal identity information, will be encrypted, and necessary calculations will be performed in an encrypted state, which ensures that sensitive information will not be leaked or tampered with at any stage.

[0037] In the implementation process of homomorphic encryption, the addition and multiplication operations used enable the system to maintain the encryption state when performing calculations on encrypted data, thereby ensuring the privacy and integrity of data processing. This encryption method is particularly suitable for use in scenarios where large amounts of sensitive information need to be frequently processed and transmitted.

[0038] Game theory optimization and permission management In the self-service baggage check-in system, permission management is another key part. Traditional permission management systems are often based on static role divisions and cannot effectively cope with complex and dynamically changing access requirements. Therefore, the present invention adopts a game theory optimization algorithm to dynamically adjust access rights.

[0039] The game theory optimization algorithm realizes intelligent permission management through the Nash equilibrium principle. Each user chooses his or her own optimal strategy based on the knowledge of other users' strategies. This means that the system can determine the most appropriate permission settings based on the needs, behavior patterns and access strategies of each user. In this way, the system can not only prevent unauthorized access, but also adjust permissions according to actual conditions to ensure fair distribution of resources.

[0040] In actual operation, the game theory model takes multiple goals into consideration, such as data security, system efficiency, and compliance. Through the particle swarm optimization algorithm (PSO), the system can perform multi-dimensional optimization based on these goals and dynamically adjust the permission management strategy. If a user's behavior pattern changes, the system will adjust its permissions in a timely manner to ensure data security and stable system operation.

[0041] Quantum games and smart contracts The combination of quantum game model and smart contract is one of the innovative highlights of this invention. The quantum game model is based on quantum superposition and quantum interference effect, and can simulate and calculate compliance strategies under different privacy regulations. Through quantum game, the system can automatically respond to changing privacy regulations and adjust strategies in real time.

[0042] Smart contracts play a vital role here. When privacy regulations change, smart contracts automatically adjust the contract execution path according to the quantum strategy obtained in the quantum game. This means that the system can perform compliance checks according to the latest privacy regulations at any time to ensure that the data in the baggage check-in process always meets legal requirements.

[0043] The automated execution of smart contracts not only improves the efficiency of the system, but also reduces the need for human intervention. In this way, the system can cope with the ever-changing privacy regulations around the world and ensure that data privacy and security are always protected.

[0044] Blockchain and Data Auditing Finally, the introduction of blockchain technology provides transparency and immutability for data auditing. All data operations, including the recording and updating of baggage check-in information, are stored and verified through the blockchain. The hash value of each operation is calculated through a hash function and organized through a Merkle tree to ensure the integrity of all data.

[0045] The root hash value of the Merkle tree can ensure the integrity of the entire data chain, which means that any tampering of the data operation will cause the hash value to change and be discovered immediately. This mechanism effectively prevents data tampering or loss during transmission.

[0046] Through a decentralized approach, blockchain technology ensures the security and transparency of data storage. Each data operation is verified through a smart contract to ensure that all operations meet compliance requirements. In terms of privacy protection, blockchain can also ensure that all sensitive data is stored in an encrypted state, and any unauthorized access cannot obtain the plaintext content of the data.

[0047] Step S1: Quantum Key Distribution Technology In order to ensure the security of data transmission in the airport self-service baggage check-in system, the present invention uses quantum key distribution (QKD) technology to provide an efficient and reliable key exchange mechanism. Through quantum key distribution, the system can realize encryption protection of the key exchange process in a quantum computing environment and ensure that the data is not stolen or tampered with during the transmission process. Specifically, quantum key distribution relies on quantum entanglement and the quantum no-cloning theorem, ensuring the security of key exchange. Any attempt to eavesdrop or interrupt key transmission can be automatically detected by quantum characteristics.

[0048] Quantum key distribution technology is based on the principles of quantum mechanics, especially the entanglement between quantum bits to achieve key generation and exchange. It provides secure encryption keys for data transmission and provides strong technical support for data protection in modern complex network environments.

[0049] In this embodiment, the quantum key distribution technology generates and exchanges keys through the entanglement of quantum bits. On the basis of quantum bit entanglement, the system generates keys using the superposition state of quantum bits and transmits the keys to the communicating parties through a quantum communication link. Through the quantum state entanglement of quantum bits, the two communicating devices can share keys without direct contact, thereby avoiding the risk of key leakage in traditional key exchange methods. Specifically, the entangled state of quantum bits can be expressed by the following formula: Among them, |00> and |11> represent the ground states of quantum bits respectively, and |ψ> is the entangled state of two quantum bits. In this way, two communicating devices can establish a shared key and exchange data securely in the quantum communication link.

[0050] Generally, quantum bits are transmitted through quantum communication links. Any attempt to eavesdrop or intercept keys will cause a change in the quantum state, which can be detected in time. According to the quantum no-cloning theorem, any external eavesdropping will destroy the quantum state. The communicating parties will be able to immediately detect potential security threats. Therefore, the application of quantum key distribution in data transmission has natural anti-eavesdropping and anti-tampering properties.

[0051] As an option, quantum key distribution can also use changes in quantum phase to further enhance the security of the key exchange process. In this implementation, the phase of the quantum bit will change as the communication process progresses, and the change in quantum state will cause the keys of the communicating parties to change. The quantum phase change increases the complexity of the encryption process, making it difficult for eavesdroppers to obtain key information. This technology further enhances the security of quantum key distribution under the threat of quantum computing.

[0052] Specifically, the quantum bits in the quantum key distribution process can achieve state superposition through the Hadamard transformation (H transformation), which is expressed as: The Hadamard transformation converts quantum bits from a ground state to a superposition state, thereby providing more security for the key exchange process. Since the quantum state cannot be copied or accurately measured, eavesdropping will cause the phase of the quantum bit to change, thus affecting the key generation process.

[0053] In one possible implementation, quantum key distribution technology achieves more efficient key exchange through the entanglement of quantum bits and changes in quantum phase. Specifically, the communicating parties can generate a random key by measuring the quantum phase, thereby ensuring that the key generated for each communication is independent and unpredictable. The measurement of the quantum state will cause the state of the quantum bit to change, thereby ensuring that eavesdropping behavior cannot be avoided and detected.

[0054] In some embodiments, quantum key distribution technology is used in combination with traditional public key encryption algorithms (RSA or ECC) to further enhance the security of the key exchange process. In this combined implementation, quantum key distribution provides a strong encryption foundation, while public key encryption is used to encrypt and decrypt data based on quantum key exchange. Through the combination of quantum keys and traditional public key encryption, the system can still ensure the security of data transmission under the threat of quantum computers.

[0055] Another advantage of quantum key distribution technology is its scalability in a quantum computing environment. Quantum computing can pose a threat to traditional encryption algorithms, but quantum key distribution uses the characteristics of quantum mechanics to enable the system to continue to provide highly secure encryption services as quantum computer technology continues to develop.

[0056] Step S2: Homomorphic encryption technology After quantum key distribution (QKD) ensures the security of data transmission, the second key step of the present invention is to apply homomorphic encryption technology, which directly acts on the data itself. By processing the data in an encrypted state, the protection of data privacy is further strengthened. Unlike traditional encryption methods, homomorphic encryption allows calculations on the data without decrypting it. This means that even if the data is intercepted during transmission, it cannot be illegally read or tampered with.

[0057] In this embodiment, homomorphic encryption technology encrypts the data to ensure that the data always remains encrypted even during the data transmission process. The data encryption operation includes encryption of sensitive data such as baggage check-in information and user identity information, and further operations are performed on the encrypted data. This method ensures that even if the data is processed by multiple nodes or systems, its content remains hidden from unauthorized third parties.

[0058] The advantage of homomorphic encryption is that the entire data processing process does not require data decryption, so it can effectively prevent data leakage during transmission and processing. Specifically, homomorphic encryption supports addition and multiplication operations on encrypted data without decryption. Suppose the encrypted data is E(x), homomorphic encryption allows the following operations: E(x 1 +x 2 )=E(x 1 )+E(x 2 ),E(x 1 × 2 )=E(x 1 )×E(x 2 ) Among them, E(x 1 ) and E(x 2 ) represent the data x 1 and x 2 In this way, any operation performed in the encrypted state will not expose the original data. This technology can effectively protect passengers' personal information and other sensitive data in the baggage check-in system.

[0059] In some embodiments, homomorphic encryption is not limited to basic addition and multiplication operations, but can be extended to more complex operations. When processing product data or performing encrypted searches, homomorphic encryption can still accurately calculate the data without decryption, thereby avoiding the risk of exposing sensitive information. This makes homomorphic encryption more flexible in actual operation, especially when the baggage check-in system needs to process large amounts of data.

[0060] Generally speaking, the problem of computational efficiency needs to be considered during the implementation of homomorphic encryption technology. To this end, the present invention can balance encryption operations and computing speed by adopting efficient homomorphic encryption algorithms, such as partially homomorphic encryption (PHE) or fully homomorphic encryption (FHE). Partially homomorphic encryption only supports addition or multiplication operations, while fully homomorphic encryption can support more complex addition and multiplication operations, thereby achieving an appropriate balance between computational complexity and data processing capabilities.

[0061] As an option, this embodiment can also be combined with a quantum computing environment to adopt a quantum homomorphic encryption algorithm. This type of algorithm can effectively protect data privacy in the context of a quantum computer and can handle the encryption and operation of quantum state data. Quantum homomorphic encryption allows encryption calculations to be performed on quantum computers, which is of great significance for the popularization of quantum computing technology in the future.

[0062] Specifically, quantum homomorphic encryption can perform addition and multiplication operations through quantum circuits. The quantum state maintains its superposition state during the encryption process and can be processed in quantum circuits to maintain the privacy and integrity of the data. This method provides a new solution for the combination of quantum computing technology and encryption algorithms, effectively preventing quantum computing from cracking traditional encryption technology.

[0063] In one possible implementation, homomorphic encryption algorithms are used in combination with quantum key distribution technology to further enhance the security of data transmission. Quantum key distribution is responsible for generating and exchanging encryption keys, while homomorphic encryption is responsible for protecting the data itself. In this way, even in a quantum computing environment, the system can still effectively maintain data security and privacy.

[0064] Step S3: Game theory optimization algorithm and permission management In the aforementioned steps, quantum key distribution and homomorphic encryption technologies provide strong guarantees for data transmission and privacy protection of the self-service baggage check-in system. In order to further improve the security of data access control, the present invention introduces a game theory optimization algorithm to dynamically adjust permission management. Traditional permission management is usually based on static rules and is difficult to flexibly respond to changing user behaviors and environmental changes. Game theory optimization can dynamically adapt to different security requirements and user behaviors through intelligent strategy adjustments, thereby providing the system with more efficient and flexible permission management.

[0065] In this embodiment, the game theory optimization algorithm is based on the Nash equilibrium principle. By analyzing each user, the optimal access strategy is selected under the premise of knowing the strategies of other users. The basic idea of ​​this model is that users choose access strategies according to their own needs, and when the strategies of other users are known, they cannot improve their own benefits by unilaterally adjusting the strategies. This feature can effectively prevent the abuse of authority and ensure the fair allocation of system resources.

[0066] Specifically, the game theory optimization algorithm evaluates the quality of each user's strategy by setting a utility function. The utility function is usually composed of multiple factors, such as the security of data access, the frequency of access, and the efficiency of resource use. By calculating and optimizing the utility function, the game theory optimization algorithm can select the most suitable access control strategy for each user.

[0067] In some embodiments, the utility function U(x) can be expressed as: U(x)=α 1 ·S(x)+α 2 ·E(x)+α 3 ·C(x) Among them, S(x) represents the safety index, E(x) represents the efficiency index, C(x) represents the compliance index, and α 1 ,α 2 ,α 3 It is the weight coefficient of each indicator. By adjusting the weight coefficient, the system can adjust the preferences of different strategies according to actual needs, thereby achieving the optimal authority allocation.

[0068] Generally speaking, game theory optimization algorithms determine the optimal strategy combination by solving Nash equilibrium. Under Nash equilibrium, each user in the system cannot improve his or her utility by changing his or her strategy. In this way, when participating in data access, each user in the system can maximize his or her own interests without affecting other users, which makes permission management more fair and efficient.

[0069] As an option, the game theory optimization algorithm can also be combined with the particle swarm optimization (PSO) algorithm for multi-objective optimization. In some complex scenarios, the system not only needs to ensure the fairness and security of access control, but also needs to balance multiple objectives, such as system response time, resource utilization, compliance, etc. The particle swarm optimization algorithm finds the optimal solution by simulating the continuous adjustment of the position of particles in the search space.

[0070] Specifically, the particle swarm optimization algorithm searches for the best access control strategy through the position and speed of particles. The state of each particle is determined by its position and speed. The particles adjust their strategies according to the feedback provided by the system (such as the evaluation of the utility function) and gradually approach the optimal solution in the process. In this way, particle swarm optimization can find a balance between multiple goals, so that permission management can improve the operating efficiency of the system while ensuring security.

[0071] In one possible implementation, the game theory optimization algorithm is combined with particle swarm optimization. First, the basic permission settings are determined through the game theory model, and then the permission configuration is fine-tuned through particle swarm optimization. This approach can cope with more complex scenarios and ensure that the system can flexibly adjust the permission configuration when facing dynamically changing security requirements.

[0072] Specifically, in game theory optimization, the user's utility function not only includes the basic indicators of access control, but also includes the usage of system resources, response time requirements, etc. In the particle swarm optimization process, the system adjusts the weights of various indicators based on the user's behavior history and real-time data analysis to achieve multi-objective optimization. In this way, the system can dynamically adjust in a complex environment and always maintain efficient and compliant operation.

[0073] Step S4: Quantum Game and Smart Contract In the aforementioned steps, quantum key distribution technology and homomorphic encryption algorithm provide security for data transmission, and game theory optimization algorithm provides a dynamic adjustment mechanism for permission management. However, in order to further ensure the compliance and privacy protection of the system, the present invention introduces the combination of quantum game model and smart contract. The application of quantum game combined with smart contract enables the system to automatically adjust its strategy according to the changes in real-time privacy regulations, ensuring that the system always complies with legal requirements.

[0074] In this embodiment, the quantum game model is used to represent the strategy space of privacy regulations. Through quantum superposition and quantum interference effects, quantum games can calculate the optimal strategy. All operations and decisions in the system depend on the calculation results of the quantum game model, so that changes in privacy regulations can be processed and responded to through automated smart contracts.

[0075] Specifically, the quantum game model uses quantum superposition states to represent multiple possible strategies for privacy regulations. Based on the requirements of privacy regulations, the system simulates and calculates the most appropriate strategy within the framework of quantum games, and determines the compliance execution path in combination with the quantum interference effect. For example, assuming that the compliance requirements of privacy regulations change at a certain moment, the quantum game model can calculate the optimal strategy in real time to guide the smart contract to make adjustments. At this time, the quantum game model not only considers compliance requirements, but also weighs the efficiency and data security of the system to ensure that there is no unnecessary impact on system performance when executing compliance strategies.

[0076] In general, quantum game models optimize strategy selection through quantum interference effects. Specifically, when the system faces multiple privacy regulatory requirements, the quantum game model processes all possible compliance strategies through quantum superposition states. These strategies are determined as the best solutions through quantum measurements. In other words, the system ensures that data protection is always in compliance with requirements under multiple privacy regulatory backgrounds through quantum games.

[0077] As an option, smart contracts play a core role in this process. Smart contracts are computer programs that automatically execute contract terms. In the present invention, smart contracts can perform specific operations based on strategies derived from quantum games. When the system detects changes in privacy regulations, the smart contract will automatically start and adjust its execution path based on the results of the quantum game. For example, the smart contract will automatically adjust the way data is stored and processed according to the new privacy regulations, thereby ensuring that the system always meets legal requirements and avoids compliance risks caused by regulatory updates.

[0078] Specifically, smart contracts can dynamically adjust the access control, data storage, and data transmission processes in the system through strategies calculated by quantum games. When privacy regulations change, smart contracts will update strategies in real time and automatically adjust operating procedures based on the latest quantum game results. This process is fully automated, reducing human intervention and improving the system's response speed and accuracy to privacy protection.

[0079] In one possible implementation, smart contracts are used in conjunction with quantum games to translate changes in privacy regulations into specific operational behaviors. For example, if new privacy regulations require stricter protection for specific categories of data, smart contracts will reallocate data access rights based on the optimization strategy of the quantum game to ensure compliance with the new regulations.

[0080] In addition, the combination of quantum game models and smart contracts can enhance the flexibility and adaptability of the system. Since privacy regulations may continue to change globally, the quantum game model quantifies these changes, allowing the system to respond to legal changes in real time without the need for human intervention or frequent updates. Therefore, the combination of quantum games and smart contracts in the present invention not only ensures the compliance of the system, but also optimizes the system's ability to automatically adapt to changes in regulations.

[0081] By combining the quantum game model with smart contracts, the system can automatically respond to changes in privacy regulations and ensure that data processing always complies with legal requirements. The quantum game model calculates the optimal compliance strategy through quantum superposition and interference effects, and the smart contract automatically executes according to the calculation results of the quantum game to ensure data privacy and compliance. In this way, the system can flexibly and efficiently adjust its operations in a changing legal environment to ensure long-term stable operation.

[0082] Step S5: Blockchain and Data Audit In the aforementioned steps, quantum key distribution, homomorphic encryption and game theory optimization provide a strong data security protection and intelligent authority management mechanism for the self-service baggage check-in system. However, in order to ensure that the data operation of the entire system has a complete audit chain and prevent data tampering or forgery, the present invention introduces blockchain technology. Blockchain can not only provide tamper-proof data storage, but also ensure that each operation is verified for legality, thereby providing strong data audit support for the system.

[0083] In this embodiment, blockchain technology uses Merkle trees to ensure the integrity of each data operation. Merkle trees are a tree structure used to verify the integrity of data and prevent data from being tampered with. In blockchain, each block contains a hash value, which is obtained by encrypting and hashing all transactions in the block. When the data is modified, the corresponding hash value will also change, thereby immediately reflecting the fact that the data has been tampered with.

[0084] Specifically, in the application of the present invention, each data operation, such as the entry, query and modification of luggage information, will generate a unique hash value, and the hash value will be recorded on the blockchain. The blockchain adopts a decentralized approach to ensure that all data operations can be recorded in real time and cannot be tampered with. The hash value of each data operation will be connected with the hash value of the previous block to form an unbreakable chain. Since the blockchain adopts distributed storage technology, each node has a complete record, which makes data tampering almost impossible.

[0085] Generally speaking, the Merkle tree connects multiple data blocks through hash values ​​and eventually generates a root hash value, which can represent the integrity of the entire data structure. If a data block is tampered with, the root hash value will change and be recognized by other nodes in the blockchain. This mechanism makes the blockchain tamper-proof and traceable, ensuring the transparency and compliance of all data operations in the baggage check-in system.

[0086] As an option, the decentralized nature of blockchain technology can provide additional security. In traditional centralized data management systems, data may be lost or tampered with due to failure or attack of the central node. In the blockchain system, data is distributed and stored, and multiple nodes jointly maintain the security and integrity of the data. Even if some nodes are attacked or fail, other nodes can still ensure the integrity and availability of the data.

[0087] Specifically, the present invention records all data operations in the blockchain, and each operation generates an encrypted signature. These signatures are stored in the blockchain after Merkle tree hash processing. In this way, the system can trace the history of any data operation at any time to ensure the legality and compliance of the operation. For example, during the self-service baggage check-in process, data operations such as passengers' personal information and baggage information will generate a unique encrypted hash and be recorded on the blockchain. If someone tries to tamper with the data, the system can quickly detect and alarm to ensure that the integrity of the data is not affected.

[0088] In one possible implementation, blockchain technology is not only used for data storage, but also used in conjunction with smart contracts, which are automatically executed computer programs that automatically trigger operations when certain conditions are met. In the present invention, smart contracts can automatically perform compliance verification based on data operations recorded on the blockchain. For example, when a certain data changes, the smart contract will automatically check whether the change complies with privacy protection regulations and automatically adjust the data processing process according to the regulations. This automated compliance check greatly improves the security and efficiency of the system.

[0089] In some embodiments, the combination of blockchain and smart contracts also helps to improve the flexibility of the system. For example, the system can automatically update data permissions and access control policies based on the transaction history recorded in the blockchain to ensure that data access always complies with the latest privacy regulations. In addition, the immutability of all operations enables the system to effectively prevent malicious behavior and ensure compliance with data access and processing.

[0090] In general, this embodiment provides a complete audit function for data operations through the introduction of blockchain technology. Blockchain not only ensures the immutability of data, but also ensures the security of data through distributed storage and hash algorithms. Combined with smart contracts, the system can automatically perform compliance checks and operation adjustments, further improving the efficiency and reliability of data privacy protection.

[0091] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for protecting data security and privacy of airport self-service baggage check-in, characterized in that: The following steps are involved: Generate encryption keys through quantum key distribution technology. The encryption keys are securely shared between the communication devices at both ends through quantum entanglement, and the security of the keys is ensured by using the quantum no-cloning theorem. During data transmission, the data is encrypted using a homomorphic encryption algorithm to ensure that the data content cannot be leaked even if the data is operated in an encrypted state. Homomorphic encryption allows addition and multiplication operations to be performed on encrypted data without decryption. Dynamically adjust the permission management based on the game theory optimization algorithm, and determine the optimal access control strategy according to the access strategies of different users and the system utility. The game theory model uses the Nash equilibrium principle to make it impossible to further optimize the strategies of all users when the strategies of other users are known; Introducing quantum game models and smart contracts to enable the system to automatically respond and adjust to meet privacy regulations. The smart contracts automatically execute compliance strategies based on quantum strategies in quantum games. Use blockchain technology to record all data operations, and verify the integrity and immutability of data operations through Merkle trees to ensure the transparency of data audits.

2. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The quantum key distribution technology achieves key exchange through the entanglement of quantum bits. During data transmission, eavesdropping will be detected immediately due to the collapse of the quantum state, ensuring the security of data transmission.

3. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The encryption algorithm uses homomorphic encryption technology to implement data addition and multiplication operations without decryption, ensuring that the privacy of the data in the encrypted state is not violated and preventing data leakage during the processing process.

4. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The game theory optimization algorithm uses the Nash equilibrium principle to automatically select the optimal access control strategy for each user when the strategies of all users are known, ensuring optimal data access and security control under various roles and permission requirements.

5. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The game theory optimization algorithm adopts a particle swarm optimization algorithm to perform multi-objective optimization, wherein the objectives include data security, system operation efficiency, and compliance requirements. The particle swarm optimization algorithm weighs and dynamically adjusts the access strategy according to the multi-objective function.

6. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The quantum game model represents privacy regulation strategies through quantum superposition states. The quantum game model combines quantum interference effects to automatically calculate the optimal strategy to cope with different privacy regulation requirements, thereby ensuring the compliance of the system.

7. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The smart contract automatically performs data protection and privacy regulation compliance checks based on the quantum strategy obtained in the quantum game. When the smart contract detects changes in privacy regulations, it can adjust the contract execution path through the quantum strategy to ensure that the system continues to comply with new regulatory requirements.

8. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The blockchain technology records data operations through a Merkle tree. The hash value of each data operation is calculated through a hash function, and the tree structure ensures the immutability of the data operation. The root hash value of the Merkle tree ensures the integrity of all data operations.

9. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The blockchain technology described above stores data in a decentralized manner, ensuring that the data audit and traceability process is open, transparent and cannot be tampered with, and each data operation is verified through a smart contract to ensure that the operation is compliant and meets privacy protection requirements.

10. The method for protecting data security and privacy of airport self-service baggage check-in according to claim 1, characterized in that: The quantum key distribution technology is used in combination with the homomorphic encryption technology. The encryption technology can protect the security of data transmission in a quantum computing environment, while ensuring the privacy and integrity of data during transmission, preventing quantum computing from posing a threat to data security.

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