A secure and authentic information communication processing method for drones based on cloud platform

Abstract

The present invention belongs to the field of information communication and relates to a cloud platform-based method for processing secure and authenticated information communication for drones, comprising the following steps: authorizing an authentication cloud platform to authenticate the drone and console securely, generating specific tags for the drone and console; generating fingerprint authentication associated with the securely authenticated console; generating a verification key and a decryption key associated with the drone; generating secure and authenticated ciphertext containing fingerprint authentication for the message content to be transmitted; authorizing the authentication cloud platform to use the verification key to encode and decrypt the secure and authenticated ciphertext to check the fingerprint authentication for security authentication; the drone's information platform to use the decryption key to encode and decrypt the secure and authenticated ciphertext in combination with a decryption algorithm; and inputting the message content that fails the secure authentication into a log of an artificial intelligence algorithm layer. The present invention solves the problem that traditional communication methods lack an effective security authentication mechanism, making the communication between the drone and the console susceptible to interference.

Description

Technical Field

[0001] The present invention belongs to the field of information communication and relates to a cloud platform-based method for processing secure and authentic information communication of unmanned aerial vehicles. Background Art

[0002] In the information and communications sector, with the rapid development and widespread application of drone technology, the security of information communications between drones and control centers has become increasingly important. Traditional information and communications methods may have security vulnerabilities, making communications between drones and control centers vulnerable to tampering. Traditional drone communication methods lack encryption and authentication measures during message transmission, making message content easily eavesdropped or tampered with.

[0003] Traditional drone communication methods lack effective security authentication mechanisms, making communications between drones and control stations vulnerable to attacks and interference. Malicious users could forge the identity of the control station or drone, send false commands, or steal sensitive information, thereby damaging the drone system or leaking important data. Even if the message has not been tampered with during transmission, the lack of effective verification makes it difficult for the recipient to confirm the authenticity and source of the message.

[0004] Based on the above problems, traditional communication methods lack an effective security authentication mechanism, making the communication between the drone and the control console vulnerable to interference. Summary of the Invention

[0005] In order to solve the problem that traditional communication methods lack an effective security authentication mechanism, making the communication between the drone and the control console susceptible to interference, the present invention provides a cloud platform-based drone secure and authentic information communication processing method.

[0006] A cloud platform-based method for processing secure and authenticatable information communication for drones, comprising the following steps:

[0007] S1. Input the identity parameters of the drone and console into the authorization and authentication cloud platform in conjunction with the preset authorization and authentication cloud platform. The authorization and authentication cloud platform performs security authentication on the drone and console and generates specific tags for the drone and console.

[0008] S2. Combining the preset fingerprint authentication model, input the authentication information of the console into the fingerprint authentication model to generate a fingerprint authentication associated with the securely authenticated console;

[0009] S3. Combined with the preset verification key and decryption key generation model, the drone-specific tag is input into the verification key and decryption key generation model to generate the verification key and decryption key associated with the drone. The authorization authentication cloud platform retains the verification key code, and the drone information platform retains the decryption key code;

[0010] S4. The secure authentication console uses the signcryption algorithm to generate a secure and authenticated ciphertext containing fingerprint authentication from the message content to be transmitted;

[0011] S5. The authorization and authentication cloud platform uses the verification key code to decrypt the secure and authenticated ciphertext and check the fingerprint authentication for security authentication; the drone's information platform uses the decryption key code and combines it with the decryption algorithm to decrypt the secure and authenticated ciphertext;

[0012] S6. Establish an artificial intelligence algorithm layer to monitor the content of messages that have not passed security authentication. The content of messages that have not passed security authentication will be input into the record log of the artificial intelligence algorithm layer to increase the complaint channel for public supervision.

[0013] A further solution of the present invention is to establish an authorization and authentication cloud platform, comprising the following steps:

[0014] Drone manufacturers need to provide historical drone identity parameters, including the drone's serial number, IMEI number, model specifications, and manufacturer information, to construct a drone identity parameter dataset;

[0015] The console needs to provide historical records of the console's identity parameters, including the console's user registration information, device information, and console software version information, to construct a dataset of console identity parameters.

[0016] An authorization and authentication cloud platform is established using deep learning-related technologies. The authorization and authentication cloud platform uses the dataset of drone identity parameters and the dataset of console identity parameters as the input of the model to generate unique identifiers for the drone and console. By training and optimizing the authorization and authentication cloud platform, it is shown that the drone and console are safe and authentic.

[0017] A further solution of the present invention, step S1, comprises the following steps:

[0018] Unauthenticated drones and consoles must be registered and registered through the authorized authentication cloud platform. For drones, the serial number, IMEI number, model specifications, and manufacturer information must be entered, and the authorized authentication cloud platform will generate a unique identifier for the drone. For consoles, the user's registration information, device information, and console software version information must be entered, and the authorized authentication cloud platform will generate a unique identifier for the console.

[0019] The unique identifier of a drone can serve as an important basis for drone manufacturers to provide after-sales service and repairs.

[0020] A further solution of the present invention is to establish the fingerprint authentication model, comprising the following steps:

[0021] When registering a console through the authorization and authentication cloud platform, a dedicated fingerprint recognition device is required to collect the fingerprint image of the registered user corresponding to the console, and then input the fingerprint image of the registered user into the authorization and authentication cloud platform; the fingerprint image recorded by the authorization and authentication cloud platform is collected. One registered user's fingerprint image corresponds to one security authentication console, and the collected fingerprint image is used to build a fingerprint authentication database;

[0022] Deep learning is used to build a fingerprint authentication model. The fingerprint authentication model learns to identify the corresponding fingerprint image in the fingerprint authentication database based on the unique identifier of the console.

[0023] A further embodiment of the present invention, step S2, comprises the following steps:

[0024] The unique identifier of the console is used as the input of the model. The fingerprint authentication model identifies the corresponding fingerprint image in the fingerprint authentication database. The fingerprint authentication model appends the output fingerprint image data with the information sent by the console through the binary data method to generate a fingerprint authentication associated with the securely authenticated console.

[0025] A further solution of the present invention is to construct the verification key and decryption key generation model, comprising the following steps:

[0026] Collect the unique identifier of the drone recorded in the authorization and authentication cloud platform, use deep learning-related technologies to establish a verification key and decryption key generation model, use the unique identifier of the drone as the input of the model, and generate the associated verification key and decryption key;

[0027] Generate the associated verification key V K , satisfying the following formula,

[0028] V K =Hash(S||"VK-PREFIX")

[0029] Among them, Hash represents the hash function; S represents the serial number of the drone; "VK-PREFIX" represents a fixed string prefix used to distinguish the verification key from the decryption key.

[0030] A further solution of the present invention, constructing the verification key and decryption key generation model, further includes the following steps:

[0031] Generate the associated decryption key D K , satisfying the following formula,

[0032] D K =Hask(S||"DK-PREFIX"||V K )

[0033] Where Hash represents a hash function; S represents the serial number of the drone; and "DK-PREFIX" represents a fixed string prefix used to distinguish between the verification key and the decryption key.

[0034] A further embodiment of the present invention, step S4, comprises the following steps:

[0035] Before the console sends the message content, it uses a signcryption algorithm that combines encryption and signing functions. The signcryption algorithm requires the transmitted message content as input and embeds the fingerprint authentication information associated with the console. This means that the fingerprint authentication information and the message content are hashed and then encrypted. The message content processed by the signcryption algorithm is converted into secure and authentic ciphertext.

[0036] The secure and authenticated ciphertext contains both the original message content and fingerprint authentication information used to verify the source and integrity of the message.

[0037] A further solution of the present invention, step S5, comprises the following steps:

[0038] After receiving the ciphertext "Enc-Message", the authorization and authentication cloud platform uses "VK-HASH-VALUE" to decrypt part of the ciphertext. If the fingerprint authentication is successful, it indicates that the ciphertext comes from a registered and securely authenticated console.

[0039] After receiving the ciphertext "Enc-Message", the drone's information platform uses the decryption key code "DK-HASH-VALUE" stored in the drone's information platform itself to decrypt the ciphertext to obtain the original message content: "Mission Start".

[0040] A further solution of the present invention, step S6, comprises the following steps:

[0041] Use machine learning or deep learning-related technologies to establish an artificial intelligence algorithm layer, use message content that has not passed security authentication as input to the artificial intelligence algorithm layer, and output a log to record the message content that has not passed security authentication;

[0042] Users can combine the corresponding artificial intelligence algorithm layer to check whether there is any message content that has not passed security authentication and whether the message content belongs to an illegal program. The corresponding artificial intelligence algorithm layer is equipped with a complaint channel.

[0043] In summary, the present invention has the following beneficial technical effects:

[0044] 1. The drone and console are securely authenticated through the authorized authentication cloud platform, and specific tags are generated to ensure the authenticity and legitimacy of the identities of the devices involved in the communication. A fingerprint authentication model is introduced to generate fingerprint authentication associated with the console, further enhancing the reliability of the message source. The verification key and decryption key generation model are used to achieve encrypted transmission and decrypted reception of message content.

[0045] 2. Establish an artificial intelligence algorithm layer to monitor message content that has not passed security authentication and enter it into a log, providing an effective means of supervision for regulatory authorities. The artificial intelligence algorithm layer also adds a public supervision complaint channel, allowing users to check whether there is any message content that has not passed security authentication and determine whether the message content is a violation of the program, in order to enhance the transparency and compliance of the system;

[0046] 3. The secure authentication console uses a signcryption algorithm to convert the message content into secure and authenticated ciphertext including fingerprint authentication, which not only ensures the confidentiality of the message, but also ensures the integrity and source traceability of the message; the authorized authentication cloud platform and the decryption key-encoded drone information platform respectively decrypt the secure and authenticated ciphertext to achieve fast and accurate information transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Disclosed is a flowchart of a cloud platform-based method for processing secure and authenticatable information communication for unmanned aerial vehicles.

[0048] Figure 2 A framework diagram of a cloud-based unmanned aerial vehicle (UAV) secure and authenticatable information communication processing system is disclosed. DETAILED DESCRIPTION

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] The following is combined with Figure 1-2 The preferred embodiments of the present invention are described in detail.

[0051] Refer to the attached Figure 1 The present invention proposes a method for processing secure and authentic information communication of a UAV based on a cloud platform, comprising the following steps:

[0052] S1. Input the identity parameters of the drone and console into the authorization and authentication cloud platform in conjunction with the preset authorization and authentication cloud platform. The authorization and authentication cloud platform performs security authentication on the drone and console and generates specific tags for the drone and console.

[0053] S2. Combining the preset fingerprint authentication model, input the authentication information of the console into the fingerprint authentication model to generate a fingerprint authentication associated with the securely authenticated console;

[0054] S3. Combined with the preset verification key and decryption key generation model, the drone-specific tag is input into the verification key and decryption key generation model to generate the verification key and decryption key associated with the drone. The authorization authentication cloud platform retains the verification key code, and the drone information platform retains the decryption key code;

[0055] S4. The secure authentication console uses the signcryption algorithm to generate a secure and authenticated ciphertext containing fingerprint authentication from the message content to be transmitted;

[0056] S5. The authorization and authentication cloud platform uses the verification key code to decrypt the secure and authenticated ciphertext and check the fingerprint authentication for security authentication; the drone's information platform uses the decryption key code and combines it with the decryption algorithm to decrypt the secure and authenticated ciphertext;

[0057] S6. Establish an artificial intelligence algorithm layer to monitor the content of messages that have not passed security authentication. The content of messages that have not passed security authentication will be input into the record log of the artificial intelligence algorithm layer to increase the complaint channel for public supervision.

[0058] In one embodiment of the present invention, establishing an authorization and authentication cloud platform includes the following steps:

[0059] Drone manufacturers need to provide historical drone identity parameters, including the drone's serial number, IMEI number, model specifications, and manufacturer information, to construct a drone identity parameter dataset;

[0060] The console needs to provide the console's identity parameters with historical records, including the console's user registration information (user name, password, fingerprint information), device information, and console software version information, to construct a console identity parameter dataset;

[0061] Leveraging machine learning or deep learning-related technologies, an authorization and authentication cloud platform is established. This platform uses datasets of drone and console identity parameters as model inputs to generate unique identifiers for the drone and console. Through training and optimization, the platform demonstrates that the drone and console are secure and authentic.

[0062] In one embodiment of the present invention, step S1 includes the following steps:

[0063] Uncertified drones and consoles need to be registered and registered through the authorized authentication cloud platform. For drones, you need to enter the serial number, IMEI number, model specifications, manufacturer information, and other related information, and the authorized authentication cloud platform will generate a unique identifier for the drone; for consoles, you need to enter the registration information of the console user, input device information, console software version information, and other related information, and the authorized authentication cloud platform will generate a unique identifier for the console.

[0064] By scanning the drone's unique identifier, users can quickly verify the drone's security certification information and expiration date, ensuring the drone's legality and safety. By scanning the console's unique identifier, users can quickly verify the console's security certification information and expiration date, ensuring the console's legality and safety. Furthermore, the drone's unique identifier can serve as an important basis for drone manufacturers to provide after-sales service and repairs.

[0065] In one embodiment of the present invention, establishing a fingerprint authentication model includes the following steps:

[0066] When registering the console through the authorization and authentication cloud platform, a dedicated fingerprint recognition device is required to capture the fingerprint image of the registered user corresponding to the console, and then input the fingerprint image of the registered user into the authorization and authentication cloud platform;

[0067] Fingerprint images of registered users are collected from the authorization and authentication cloud platform. Each registered user's fingerprint image corresponds to a security authentication console. The collected fingerprint images are used to build a fingerprint authentication database. A fingerprint authentication model is built using machine learning or deep learning-related technologies. The fingerprint authentication model learns to identify the corresponding fingerprint image in the fingerprint authentication database based on the console's unique identifier.

[0068] In one embodiment of the present invention, step S2 includes the following steps:

[0069] The unique identifier of the console is used as the input of the model. The fingerprint authentication model identifies the fingerprint image of the corresponding registered user in the fingerprint authentication database. The fingerprint authentication model appends the output fingerprint image data with the information sent by the console through the binary data method to generate a fingerprint authentication associated with the securely authenticated console.

[0070] In one embodiment of the present invention, constructing a verification key and decryption key generation model includes the following steps:

[0071] Collect the drone's unique identifier recorded by the authorization and authentication cloud platform to ensure the drone's legitimacy and uniqueness. Use machine learning or deep learning-related technologies to establish a verification key and decryption key generation model. Using the drone's unique identifier as input, the verification key and decryption key generation model generates the associated verification key and decryption key.

[0072] Generate the associated verification key (V K ), satisfying the following formula,

[0073] V K =Hash(S||"VK-PREFIX")

[0074] Hash represents the hash function; S represents the serial number of the drone; "VK-PREFIX" represents a fixed string prefix used to distinguish the verification key from the decryption key;

[0075] Generate the associated decryption key (D K ), satisfying the following formula,

[0076] D K =Hask(S||"DK-PREFIX"||V K )

[0077] "DK-PREFIX" indicates a fixed string prefix used to distinguish the verification key from the decryption key.

[0078] In one embodiment of the present invention, step S3 includes the following steps:

[0079] The unique identifier of the drone is used as the input of the model, and the verification key and decryption key generation model generates the associated verification key and decryption key; the verification key code is retained in the authorization authentication cloud platform to facilitate fingerprint authentication during message transmission; the decryption key code is stored in the drone's information platform for easy use when receiving a message.

[0080] For example, the serial number of the drone is "ABC123", and the corresponding verification key and decryption key are generated according to the above formula;

[0081] Generate the associated verification key V K =Hash("ABC123"||"VK-PREFIX");

[0082] The output of the hash function Hash is a 256-bit binary string, and the verification key V K Simplified to the example value "VK-HASH-VALUE";

[0083] Generate the associated decryption key D K=Hash("ABC123"||"DK-PREFIX"||"VK-HASH-VALUE");

[0084] The hash function Hash outputs a 256-bit binary string, and the decryption key D K Simplified to the example value "DK-HASH-VALUE".

[0085] In one embodiment of the present invention, step S4 includes the following steps:

[0086] Before the console sends a message, it uses a signcryption algorithm that combines encryption and signing to ensure the confidentiality and integrity of the message. The signcryption algorithm takes the transmitted message content as input and embeds the fingerprint authentication information associated with the console. This algorithm hashes the fingerprint authentication information along with the message content before encrypting it. The signcryption algorithm then converts the message content into a specific format, known as secure and authenticated ciphertext. This secure and authenticated ciphertext contains both the original message content and the fingerprint authentication information used to verify the message's origin and integrity.

[0087] For example, the console sends a message content "Mission Start" to the drone. The console combines the message content "Mission Start" with its own fingerprint authentication information to generate a secure and authenticatable ciphertext containing fingerprint authentication: "Enc-Message".

[0088] In one embodiment of the present invention, step S5 includes the following steps:

[0089] The authorization and authentication cloud platform uses the verification key encoding to decrypt the secure and authenticated ciphertext to check the fingerprint authentication for security authentication; the drone's information platform uses the decryption key encoding and combines the decryption signcryption algorithm to decrypt the secure and authenticated ciphertext.

[0090] For example, after receiving the ciphertext "Enc-Message", the authorization and authentication cloud platform uses "VK-HASH-VALUE" to decrypt a portion of the ciphertext to check the fingerprint authentication information therein for security authentication; if the fingerprint authentication is successful, it indicates that the ciphertext comes from a registered and securely authenticated console;

[0091] After receiving the ciphertext "Enc-Message", the drone's information platform uses the decryption key code "DK-HASH-VALUE" stored in the drone's information platform itself to decrypt the ciphertext and obtain the original message content: "Mission Start".

[0092] In one embodiment of the present invention, step S6 includes the following steps:

[0093] Use machine learning or deep learning-related technologies to establish an artificial intelligence algorithm layer, use message content that has not passed security authentication as input to the artificial intelligence algorithm layer, and output a log to record the message content that has not passed security authentication;

[0094] Users can combine the corresponding artificial intelligence algorithm layer to check whether there is any message content that has not passed security authentication and whether the message content belongs to an illegal program. The corresponding artificial intelligence algorithm layer is equipped with a complaint channel.

[0095] See attached Figure 2 The present invention also proposes a cloud platform-based UAV secure and authentic information communication processing system, which includes the following modules:

[0096] Authorization and authentication cloud platform, used for safety authentication of drones and consoles, and generation of specific tags for drones;

[0097] The fingerprint authentication database construction module combines the preset fingerprint authentication model, inputs the authentication information of the console into the fingerprint authentication model, generates fingerprint authentication associated with the securely authenticated console, and uses it to construct the fingerprint authentication database;

[0098] The verification key and decryption key generation module, combined with the preset verification key and decryption key generation model, generates the verification key and decryption key associated with the drone. The authorization authentication cloud platform retains the verification key code, and the drone's information platform retains the decryption key code;

[0099] The secure authentication ciphertext generation module uses the signcryption algorithm to generate secure authentication ciphertext including fingerprint authentication from the message content to be transmitted.

[0100] The ciphertext verification module authorizes the authentication cloud platform to use the verification key code to decrypt the secure and authenticated ciphertext and check the fingerprint authentication for security authentication; the drone's information platform uses the decryption key code and combines it with the decryption signcryption algorithm to decrypt the secure and authenticated ciphertext;

[0101] The monitoring and complaint module establishes an artificial intelligence algorithm layer to monitor the message content that has not passed the security authentication, and the message content that has not passed the security authentication is input into the record log of the artificial intelligence algorithm layer to increase the complaint channel for public supervision.

[0102] The modules can be implemented in whole or in part through software, hardware, or a combination thereof, supporting hardware embedded in or independent of a processor in a computer device, and also supporting software stored in a memory in a computer device so that the processor can call and execute operations corresponding to the modules.

[0103] It should be noted that the user information (including but not limited to user device information and personal information, etc.) and data (including but not limited to data used for analysis, stored data and displayed data, etc.) involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the processing of relevant data needs to comply with relevant laws, regulations and standards.

[0104] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A cloud platform-based drone secure and authentic information communication processing method, characterized in that: The following steps are involved: S1. Input the identity parameters of the drone and console into the authorization and authentication cloud platform in conjunction with the preset authorization and authentication cloud platform. The authorization and authentication cloud platform performs security authentication on the drone and console and generates specific tags for the drone and console. S2. Combining the preset fingerprint authentication model, input the authentication information of the console into the fingerprint authentication model to generate a fingerprint authentication associated with the securely authenticated console; S3. Combined with the preset verification key and decryption key generation model, the drone-specific tag is input into the verification key and decryption key generation model to generate the verification key and decryption key associated with the drone. The authorization authentication cloud platform retains the verification key code, and the drone information platform retains the decryption key code; S4. The secure authentication console uses the signcryption algorithm to generate a secure and authenticated ciphertext containing fingerprint authentication from the message content to be transmitted; S5. The authorization and authentication cloud platform uses the verification key code to decrypt the secure and authenticatable ciphertext and check the fingerprint authentication for security authentication; The drone’s information platform uses the decryption key encoding and the decryption signcryption algorithm to decrypt the secure and authenticated ciphertext; S6. Establish an artificial intelligence algorithm layer to monitor the content of messages that have not passed security authentication. The content of messages that have not passed security authentication will be input into the record log of the artificial intelligence algorithm layer to increase the complaint channel for public supervision.

2. A cloud platform-based drone secure and authentic information communication processing method according to claim 1, characterized in that: Establishing an authorization and authentication cloud platform includes the following steps: Drone manufacturers need to provide historical drone identity parameters, including the drone's serial number, IMEI number, model specifications, and manufacturer information, to construct a drone identity parameter dataset; The console needs to provide historical records of the console's identity parameters, including the console's user registration information, device information, and console software version information, to construct a dataset of console identity parameters. An authorization and authentication cloud platform is established using deep learning-related technologies. The authorization and authentication cloud platform uses the dataset of drone identity parameters and the dataset of console identity parameters as the input of the model to generate unique identifiers for the drone and console. By training and optimizing the authorization and authentication cloud platform, it is shown that the drone and console are safe and authentic.

3. The method for processing secure and authentic information communication of a drone based on a cloud platform according to claim 1, characterized in that: Step S1 includes the following steps: Unauthenticated drones and consoles must be registered and registered through the authorized authentication cloud platform. For drones, the serial number, IMEI number, model specifications, and manufacturer information must be entered, and the authorized authentication cloud platform will generate a unique identifier for the drone. For consoles, the user's registration information, device information, and console software version information must be entered, and the authorized authentication cloud platform will generate a unique identifier for the console. The unique identifier of a drone can serve as an important basis for drone manufacturers to provide after-sales service and repairs.

4. A cloud platform-based drone secure and authentic information communication processing method according to claim 3, characterized in that: Establishing the fingerprint authentication model includes the following steps: When registering a console through the authorization and authentication cloud platform, a dedicated fingerprint recognition device is required to collect the fingerprint image of the registered user corresponding to the console, and then input the fingerprint image of the registered user into the authorization and authentication cloud platform; the fingerprint image recorded by the authorization and authentication cloud platform is collected. One registered user's fingerprint image corresponds to one security authentication console, and the collected fingerprint image is used to build a fingerprint authentication database; Deep learning is used to build a fingerprint authentication model. The fingerprint authentication model learns to identify the corresponding fingerprint image in the fingerprint authentication database based on the unique identifier of the console.

5. A cloud platform-based drone secure and authentic information communication processing method according to claim 4, characterized in that: Step S2 includes the following steps: The unique identifier of the console is used as the input of the model. The fingerprint authentication model identifies the corresponding fingerprint image in the fingerprint authentication database. The fingerprint authentication model appends the output fingerprint image data with the information sent by the console through the binary data method to generate a fingerprint authentication associated with the securely authenticated console.

6. A cloud platform-based drone secure and authentic information communication processing method according to claim 4, characterized in that: Constructing the verification key and decryption key generation model includes the following steps: Collect the unique identifier of the drone recorded in the authorization and authentication cloud platform, use deep learning-related technologies to establish a verification key and decryption key generation model, use the unique identifier of the drone as the input of the model, and generate the associated verification key and decryption key; Generate the associated verification key V K , satisfying the following formula, V K =Hash(S∥"VK-PREFIX") Among them, Hash represents the hash function; S represents the serial number of the drone; "VK-PREFIX" represents a fixed string prefix used to distinguish the verification key from the decryption key.

7. A cloud platform-based drone secure and authentic information communication processing method according to claim 6, characterized in that: Constructing the verification key and decryption key generation model also includes the following steps: Generate the associated decryption key D K , satisfying the following formula, D K =Hash(S∥"DK-PREFIX"∥V K ) Where Hash represents a hash function; S represents the serial number of the drone; and "DK-PREFIX" represents a fixed string prefix used to distinguish between the verification key and the decryption key.

8. A cloud platform-based drone secure and authentic information communication processing method according to claim 7, characterized in that: Step S4 includes the following steps: Before the console sends the message content, it uses a signcryption algorithm that combines encryption and signing functions. The signcryption algorithm requires the transmitted message content as input and embeds the fingerprint authentication information associated with the console. This means that the fingerprint authentication information and the message content are hashed and then encrypted. The message content processed by the signcryption algorithm is converted into secure and authentic ciphertext. The secure and authenticated ciphertext contains both the original message content and fingerprint authentication information used to verify the source and integrity of the message.

9. A cloud platform-based UAV secure and authentic information communication processing method according to claim 8, characterized in that: Step S5 includes the following steps: After receiving the ciphertext "Enc-Message", the authorization and authentication cloud platform uses "VK-HASH-VALUE" to decrypt part of the ciphertext. If the fingerprint authentication is successful, it indicates that the ciphertext comes from a registered and securely authenticated console. After receiving the ciphertext "Enc-Message", the drone's information platform uses the decryption key code "DK-HASH-VALUE" stored in the drone's information platform itself to decrypt the ciphertext and obtain the original message content: "Mission Start".

10. A cloud platform-based drone secure and authentic information communication processing method according to claim 9, characterized in that: Step S6 includes the following steps: Use machine learning or deep learning-related technologies to establish an artificial intelligence algorithm layer, use message content that has not passed security authentication as input to the artificial intelligence algorithm layer, and output a log to record the message content that has not passed security authentication; Users can combine the corresponding artificial intelligence algorithm layer to check whether there is any message content that has not passed security authentication and whether the message content belongs to an illegal program. The corresponding artificial intelligence algorithm layer is equipped with a complaint channel.

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