Information cloud encryption method based on 5G communication

Abstract

The invention discloses an information cloud encryption method based on 5G communication, and relates to the field of information encryption, and the method comprises the following steps: setting a cloud database, a data processing end and a user end, enabling a user to upload data information through the user end, and setting an initial access authority according to the user identity; the data information is classified through the data processing end, and corresponding measures are taken according to classification results to obtain feature mark data of the data information; carrying out encryption processing on the obtained feature mark data, and sending the encrypted data information to a cloud database for distributed storage; setting a secondary access authority corresponding to the data information according to the encryption process, and sending the secondary access authority to the user side; a user uploads a secondary access permission to the data processing end through the user end, whether corresponding data information can be decrypted or not is judged, and if decryption fails, abnormal information is generated and sent to the user end through 5G communication; according to the invention, the information storage security of the cloud database is improved to a certain extent.

Description

Technical Field

[0001] The present invention relates to the field of information encryption, and specifically to an information cloud encryption method based on 5G communication. Background Art

[0002] With the development of data technology, more data is stored in digital form. People usually store some important data information in the terminal devices they use, such as mobile phones and computers. However, once the terminal device is lost or damaged, it is easy to cause the loss of user data information. Therefore, storing data information in cloud databases has gradually become a habit for people; Comparative document CN107204986B "Cloud storage encryption method, decryption method and cloud storage encryption device" divides the target file into multiple data blocks, encrypts the data blocks multiple times, and stores the data information by setting corresponding storage addresses according to the encryption process; this method improves the confidentiality of files with high privacy requirements; Comparative document CN110502910A "A cloud information storage system based on data encryption" converts the stored information into graphics and distributes the obtained graphics into several graphic fragments for storage on multiple cloud servers, thus avoiding the problem of storage leakage and low security caused by access to all contents in the server after authorization by the cloud server; However, by storing data in multiple cloud servers, it is easy to be affected by any cloud server, and multiple encryptions through multiple data blocks can easily affect the efficiency of the cloud database in storing related data information; therefore, how to improve the efficiency of cloud database information storage and strengthen the security of information storage in the cloud database is a problem we need to solve; for this purpose, a method for cloud information encryption based on 5G communication is now provided. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide an information cloud encryption method based on 5G communication.

[0004] The purpose of the present invention can be achieved by the following technical solution: A method for encrypting information in the cloud based on 5G communication, comprising the following steps: Step S1: Setting up a cloud database, a data processing terminal and a user terminal, allowing relevant users to upload relevant data information through the user terminal, and setting initial access rights to the cloud database for relevant users; Step S2: classifying the data information uploaded by the user terminal through the set data processing terminal, and extracting the feature tag data corresponding to the data information according to the classification result; Step S3: Obtain corresponding feature mark data, encrypt the acquired feature mark data, set storage nodes for corresponding data information in the cloud database, and send the feature mark data to the corresponding storage nodes for distributed storage after encryption by the data processing end; Step S4: The data processing end sets secondary access rights for the corresponding user according to the data information encryption process, and sends it to the user end to verify the user's initial access rights and determine whether to grant access to the user end; Step S5: After entering the user terminal, the user uploads the secondary access permission to the data processing terminal, which determines whether it can be decrypted. If the decryption is successful, the obtained data information is sent to the user terminal. If the decryption fails, the abnormal information is sent to the user terminal via 5G communication.

[0005] Furthermore, the process of setting up a cloud database, a data processing terminal and a user terminal, having relevant users upload relevant data information through the user terminal, and setting initial access rights of the cloud database for relevant users includes: Setting a user terminal, the user terminal is used to obtain user information of relevant users, the user information includes name, ID number and real-name authenticated mobile phone number; setting corresponding account information according to the real-name authenticated mobile phone number, setting corresponding initial access rights according to the user's personal needs, and entering the user terminal through the initial access rights to upload relevant data information to the data processing terminal; Setting a data processing terminal, wherein the data processing terminal is used to obtain relevant data information and analyze and process the relevant data information; A cloud database is set up, and the cloud database is used to receive and store data information processed by the data processing end.

[0006] Furthermore, the process of classifying the data information uploaded by the user terminal by the data processing terminal includes: The data processing terminal is provided with a temporary storage space, and the data information uploaded by the user terminal and not processed by the data processing terminal is recorded as data to be processed, and the data to be processed is stored in the temporary storage space, and its upload time is marked; the data processing terminal sequentially obtains the data to be processed stored in the temporary storage space according to the upload time; The data to be processed stored in the temporary storage space is obtained through the data processing end, in which a deep learning algorithm is set, and relevant voice features, text features and image features are input through the deep learning algorithm. The input features are used to set a multimodal information classification model through the deep learning algorithm, and the multimodal information classification model is trained to divide the data into voice data, text data or image data, and the data to be processed is input into the multimodal information classification model, and the data type of the data to be processed is output.

[0007] Furthermore, the process of extracting feature tag data corresponding to the data information according to the classification result by the data processing end includes: Obtain the data type of the data to be processed, and set the corresponding feature extraction method according to the different data types; when the data to be processed is speech data, analyze the data to be processed through Mel-frequency cepstral coefficients to obtain the corresponding speech feature data; when the data to be processed is text data, analyze the data to be processed through TF-IDF technology to obtain the corresponding text feature data; when the data to be processed is image data, analyze the data to be processed through a convolutional neural network to obtain the corresponding image feature data; mark the obtained feature data to obtain the feature labeling data corresponding to the data to be processed.

[0008] Furthermore, the process of obtaining the corresponding characteristic mark data and encrypting the obtained characteristic mark data includes: The data processing end obtains feature mark data corresponding to the data to be processed, divides the data to be processed according to the feature mark data, thereby obtaining a corresponding data sequence, arranges the obtained data sequence in order according to the division of the data to be processed, sets a corresponding start marker and an end marker for the corresponding data sequence according to the order of arrangement, encrypts the completed data sequence, and sets a corresponding public key group and a private key group according to the data sequences corresponding to different feature mark data through the RSA algorithm by the data processing end, encrypts the relevant data sequence according to the public key group, sends the encrypted data information to the cloud database, and deletes it from the temporary storage space.

[0009] Furthermore, the process of setting storage nodes corresponding to the data information in the cloud database, encrypting the feature-marked data through the data processing end and then sending the encrypted data to the corresponding storage nodes for distributed storage includes: The cloud database is provided with corresponding storage space according to different data types, which is used to store data information of corresponding data types, obtain data information and its data sequence that have been encrypted by the data processing end, set a corresponding number of storage nodes according to the number of its data sequences, mark each storage node, sort each storage node through a random number generation algorithm, and randomly store the data sequence in the corresponding storage node for distributed storage.

[0010] Furthermore, the process of setting secondary access rights for the corresponding user by the data processing end according to the process of encrypting the data information, and sending it to the user end, verifying the user's initial access rights, and determining whether to grant access to the user end includes: The data processing end obtains the data sequence corresponding to different feature mark data obtained by the RSA algorithm, sets the corresponding public key group and private key group, generates the corresponding digital signature according to the user account with the corresponding private key in the private key group and the corresponding feature mark data, and records the digital signature corresponding to the corresponding data information as the secondary access permission; and sends the secondary access permission to the user end; The user terminal verifies the user's identity information through the initial access permission, and opens the permission to enter the user terminal to the user who has completed the verification. The user enters the corresponding initial access permission, and the entered initial access permission is matched with the set initial access permission. If the match is successful, the user is granted permission to enter the user terminal.

[0011] Furthermore, after entering the user terminal, the user uploads the secondary access permission to the data processing terminal, and the data processing terminal determines whether it can be decrypted. If the decryption is successful, the obtained data information is sent to the user terminal. If the decryption fails, the abnormal information is sent to the user terminal through 5G communication. The process includes: When the user enters the user terminal, he / she inputs any digital signature in the secondary access permission through the user terminal and uploads it to the data processing terminal. The data processing terminal uses the private key of the corresponding feature mark data in the digital signature to decrypt the relevant data sequence. If the decryption is successful, the start marker and end marker of the data sequence stored in the corresponding storage node and the corresponding private key group are obtained. The relevant data sequences are decrypted in turn according to the connection result to obtain the corresponding data information, and the obtained data information is sent to the user terminal. If the decryption fails, an exception information is generated and sent to the user terminal through 5G communication, and the relevant storage nodes are reordered.

[0012] Compared with the prior art, the beneficial effects of the present invention include the following two points: 1. Setting initial access rights and secondary access rights not only verifies the user's identity information, but also sets corresponding secondary access rights based on the user's stored data information, which can prevent non-account users from stealing the data information stored in the cloud database to a certain extent; 2. By extracting features from data information, corresponding feature marker data is obtained, corresponding data sequences are set according to the feature marker data, and corresponding private keys are set for different data sequences. After the data sequences are encrypted, they are distributed and stored, which improves the security and reliability of data information storage in the cloud database to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a flow chart of the present invention; Figure 2 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0014] like Figure 1 As shown, a method for encrypting information in the cloud based on 5G communication includes the following steps: Step S1: Setting up a cloud database, a data processing terminal and a user terminal, allowing relevant users to upload relevant data information through the user terminal, and setting initial access rights to the cloud database for relevant users; Step S2: classifying the data information uploaded by the user terminal through the set data processing terminal, and extracting the feature tag data corresponding to the data information according to the classification result; Step S3: Obtain corresponding feature mark data, encrypt the acquired feature mark data, set storage nodes for corresponding data information in the cloud database, and send the feature mark data to the corresponding storage nodes for distributed storage after encryption by the data processing end; Step S4: The data processing end sets secondary access rights for the corresponding user according to the data information encryption process, and sends it to the user end to verify the user's initial access rights and determine whether to grant access to the user end; Step S5: After entering the user terminal, the user uploads the secondary access permission to the data processing terminal, which determines whether it can be decrypted. If the decryption is successful, the obtained data information is sent to the user terminal. If the decryption fails, the abnormal information is sent to the user terminal via 5G communication.

[0015] It should be further explained that, in the specific implementation process, the process of setting up the cloud database, the data processing terminal and the user terminal, having the relevant users upload the relevant data information through the user terminal, and setting the initial access rights of the cloud database for the relevant users includes: Setting a user terminal, the user terminal is used to obtain user information of relevant users, the user information includes name, ID number and real-name authenticated mobile phone number; setting corresponding account information according to the real-name authenticated mobile phone number, setting corresponding initial access rights according to the user's personal needs, and entering the user terminal through the initial access rights to upload relevant data information to the data processing terminal; Setting a data processing terminal, wherein the data processing terminal is used to obtain relevant data information and analyze and process the relevant data information; A cloud database is set up, and the cloud database is used to receive and store data information processed by the data processing end.

[0016] In addition, it should be noted that Figure 2As shown, the data processing end is used to connect the user end and the cloud database. The data uploaded by the user at the user end is sent to the data processing end for processing and then sent to the cloud database. The data information stored in the cloud database is obtained, processed and then sent to the user end.

[0017] It should be further explained that, in a specific implementation process, the process of classifying the data information uploaded by the user end through the set data processing end and extracting the feature tag data corresponding to the data information according to the classification result includes: The data processing terminal is provided with a temporary storage space, and the data information uploaded by the user terminal and not processed by the data processing terminal is recorded as data to be processed, and the data to be processed is stored in the temporary storage space, and its upload time is marked; the data processing terminal sequentially obtains the data to be processed stored in the temporary storage space according to the upload time; Temporary storage space is used to temporarily store data to avoid users uploading too much data information, which may cause the data processing end to be unable to process it quickly and send it to the cloud database.

[0018] The data to be processed stored in the temporary storage space is obtained through the data processing end, in which a deep learning algorithm is set, and relevant voice features, text features and image features are input through the deep learning algorithm. The input features are used to set a multimodal information classification model through the deep learning algorithm, and the multimodal information classification model is trained to divide the data into voice data, text data or image data, and the data to be processed is input into the multimodal information classification model, and the data type of the data to be processed is output.

[0019] Obtain the data type of the data to be processed, and set the corresponding feature extraction method according to the different data types; when the data to be processed is speech data, analyze the data to be processed through Mel-frequency cepstral coefficients to obtain the corresponding speech feature data; when the data to be processed is text data, analyze the data to be processed through TF-IDF technology to obtain the corresponding text feature data; when the data to be processed is image data, analyze the data to be processed through a convolutional neural network to obtain the corresponding image feature data; mark the obtained feature data to obtain the feature labeling data corresponding to the data to be processed.

[0020] It should be further explained that, in the specific facility process, the process of obtaining the corresponding feature mark data, encrypting the obtained feature mark data, setting a storage node for the corresponding data information in the cloud database, and sending the feature mark data to the corresponding storage node for distributed storage after being encrypted by the data processing end includes: The data processing end obtains the feature tag data corresponding to the data to be processed, divides the data to be processed according to the feature tag data, thereby obtaining the corresponding data sequence, arranges the obtained data sequence in order according to the division of the data to be processed, sets the corresponding start marker and end marker for the corresponding data sequence according to the arranged order, encrypts the set data sequence, sets the corresponding public key group and private key group according to the data sequence corresponding to different feature tag data by the data processing end through the RSA algorithm, encrypts the relevant data sequence according to the public key group, sends the encrypted data information to the cloud database, and deletes it from the temporary storage space; It should be further explained that, in the specific facility process, the process of setting the corresponding public key group and private key group by the RSA algorithm includes: selecting a corresponding number of 2 different random prime numbers according to the number of feature tag data, and recording the obtained random prime numbers as M and X, obtaining the corresponding modulus according to the random prime numbers, and recording the corresponding modulus as i, i=M*X; calculating the Euler function according to the obtained random prime numbers, L(i)=(M-1)*(X-1); selecting an integer a and a greatest common divisor, and publishing the obtained L(i) as the public key exponent; obtaining the corresponding private key component through the multiplication inverse algorithm, and recording the private key component as d; recording the obtained public key as (a, i), and the private key as (i, d); and so on, obtaining the corresponding public key and private key according to the number of feature tag data, and setting the obtained public key and the corresponding private key as the public key group and private key group corresponding to the data information; The relevant characteristic tag data is encrypted by the corresponding public key, and the data information is mapped to an integer called a padding scheme through a reversible protocol, thereby realizing the encryption of the data information and obtaining the corresponding encrypted data J; The cloud database is provided with corresponding storage space according to different data types, which is used to store data information of corresponding data types, obtain data information and its data sequence that have been encrypted by the data processing end, set a corresponding number of storage nodes according to the number of its data sequences, mark each storage node, sort each storage node through a random number generation algorithm, and randomly store the data sequence in the corresponding storage node for distributed storage.

[0021] It should be further explained that, in the specific facility process, the data processing end sets secondary access rights for the corresponding user according to the process of encrypting the data information, sends it to the user end, verifies the user's initial access rights, and determines whether to grant access to the user end, including: The data processing end obtains the corresponding public key group and private key group corresponding to the data sequence corresponding to the corresponding feature mark data obtained by the RSA algorithm, associates each private key in the private key group with the data sequence corresponding to the corresponding feature mark data, sets a corresponding digital signature according to the user account information, records the set digital signature as a secondary access right, and sends the digital signature corresponding to the corresponding data information to the user end; The user terminal verifies the user's identity information through the initial access permission, and opens the permission to enter the user terminal to the user who has completed the verification. The user enters the corresponding initial access permission, and the entered initial access permission is matched with the set initial access permission. If the match is successful, the user is granted permission to enter the user terminal.

[0022] It should be further explained that in the specific facility process, the user enters the user terminal and uploads the secondary access permission to the data processing terminal, which determines whether it can be decrypted. If the decryption is successful, the obtained data information is sent to the user terminal. If the decryption fails, the abnormal information is sent to the user terminal through 5G communication. The process includes: When the user enters the user terminal, he / she inputs any digital signature in the secondary access permission through the user terminal and uploads it to the data processing terminal. The data processing terminal uses the private key corresponding to the characteristic mark data in the digital signature to decrypt the relevant data sequence. If the decryption is successful, the start marker and end marker of the data sequence stored in the corresponding storage node and the corresponding private key group are obtained. The relevant data sequence is decrypted in turn according to the connection result to obtain the corresponding data information, and the obtained data information is sent to the user terminal; if the decryption fails, an abnormal information is generated and sent to the user terminal through 5G communication, and the relevant storage nodes are reordered; In addition, it should be further explained that, in the specific implementation process, an effective decryption threshold is set in the data processing end, and the effective decryption threshold is set according to the number of corresponding keys in the public key group or the private key group, and a proportion value is set, and the corresponding key number is multiplied by the proportion data, and the obtained product is recorded as the effective decryption threshold, and the corresponding private key in the digital signature corresponding to the effective decryption threshold is obtained to decrypt the data sequence. If the corresponding data sequences within the effective decryption threshold are all decrypted successfully, the start marker and the end marker of the data sequence stored in the corresponding storage node and the corresponding private key group are obtained, and the relevant data sequences are decrypted in turn according to the connection result, so as to obtain the corresponding data information; if there is a data sequence within the effective decryption threshold, the decryption is successful, and an abnormal information is also generated and sent to the user end; this method improves the security of cloud database information storage to a certain extent; The process of decrypting the data sequence includes: obtaining the corresponding digital signature in the secondary access permission uploaded by the user, verifying the authenticity of the user through the generated private key and J, and obtaining the user's decrypted data F by changing the padding scheme; obtaining the corresponding original data based on the decrypted data; When the user receives abnormal information sent by the 5G communication device, he / she selects the corresponding abnormal information as malicious intrusion or forgotten password. If the user selects malicious intrusion, the data information will be frozen and a freezing period will be set. During the freezing period, relevant personnel are not allowed to obtain data information in the cloud database, and the data processing end will re-encrypt the relevant data information through the RSA algorithm until it is sent to the user end after the freezing period ends; if the user selects to forget the key, the time when the user previously obtained the data information is obtained; the data processing end is set with a forgetting history period, if the obtained time is within the forgetting history period, it is not allowed to regain the secondary access right; if the obtained time is not within the forgetting history period, the user is allowed to regain the secondary access right.

[0023] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for encrypting information in the cloud based on 5G communication, characterized in that: The following steps are involved: Step S1: Setting up a cloud database, a data processing terminal and a user terminal, allowing relevant users to upload relevant data information through the user terminal, and setting initial access rights to the cloud database for relevant users; Step S2: classifying the data information uploaded by the user terminal through the set data processing terminal, and extracting the feature tag data corresponding to the data information according to the classification result; Step S3: Obtain corresponding feature mark data, encrypt the acquired feature mark data, set storage nodes for corresponding data information in the cloud database, and send the feature mark data to the corresponding storage nodes for distributed storage after encryption by the data processing end; Step S4: The data processing end sets secondary access rights for the corresponding user according to the data information encryption process, and sends it to the user end to verify the user's initial access rights and determine whether to grant access to the user end; Step S5: After entering the user terminal, the user uploads the secondary access permission to the data processing terminal, which determines whether it can be decrypted. If the decryption is successful, the obtained data information is sent to the user terminal. If the decryption fails, the abnormal information is sent to the user terminal via 5G communication.

2. According to the 5G communication-based information cloud encryption method of claim 1, it is characterized in that: The process of setting up a cloud database, a data processing terminal and a user terminal, having relevant users upload relevant data information through the user terminal, and setting initial access rights of the cloud database for relevant users includes: Setting a user terminal, the user terminal is used to obtain user information of relevant users, the user information includes name, ID number and real-name authenticated mobile phone number; setting corresponding account information according to the real-name authenticated mobile phone number, setting corresponding initial access rights according to the user's personal needs, and entering the user terminal through the initial access rights to upload relevant data information to the data processing terminal; Setting a data processing terminal, wherein the data processing terminal is used to obtain relevant data information and analyze and process the relevant data information; A cloud database is set up, and the cloud database is used to receive and store data information processed by the data processing end.

3. The information cloud encryption method based on 5G communication according to claim 2 is characterized in that: The process of classifying the data information uploaded by the user terminal through the data processing terminal includes: The data processing terminal is provided with a temporary storage space, and the data information uploaded by the user terminal and not processed by the data processing terminal is recorded as data to be processed, and the data to be processed is stored in the temporary storage space, and its upload time is marked; the data processing terminal sequentially obtains the data to be processed stored in the temporary storage space according to the upload time; The data to be processed stored in the temporary storage space is obtained through the data processing end, in which a deep learning algorithm is set, and relevant voice features, text features and image features are input through the deep learning algorithm. The input features are used to set a multimodal information classification model through the deep learning algorithm, and the multimodal information classification model is trained to divide the data into voice data, text data or image data, and the data to be processed is input into the multimodal information classification model, and the data type of the data to be processed is output.

4. The information cloud encryption method based on 5G communication according to claim 3 is characterized in that: The process of extracting feature tag data corresponding to the data information according to the classification result by the data processing end includes: Obtain the data type of the data to be processed, and set the corresponding feature extraction method according to the different data types; when the data to be processed is speech data, analyze the data to be processed through Mel-frequency cepstral coefficients to obtain the corresponding speech feature data; when the data to be processed is text data, analyze the data to be processed through TF-IDF technology to obtain the corresponding text feature data; when the data to be processed is image data, analyze the data to be processed through a convolutional neural network to obtain the corresponding image feature data; mark the obtained feature data to obtain the feature labeling data corresponding to the data to be processed.

5. The information cloud encryption method based on 5G communication according to claim 4 is characterized in that: The process of obtaining the corresponding characteristic mark data and encrypting the obtained characteristic mark data includes: The data processing end obtains feature mark data corresponding to the data to be processed, divides the data to be processed according to the feature mark data, thereby obtaining a corresponding data sequence, arranges the obtained data sequence in order according to the division of the data to be processed, sets a corresponding start marker and an end marker for the corresponding data sequence according to the order of arrangement, encrypts the completed data sequence, and sets a corresponding public key group and a private key group according to the data sequences corresponding to different feature mark data through the RSA algorithm by the data processing end, encrypts the relevant data sequence according to the public key group, sends the encrypted data information to the cloud database, and deletes it from the temporary storage space.

6. The information cloud encryption method based on 5G communication according to claim 5 is characterized in that: The process of setting storage nodes corresponding to data information in the cloud database, encrypting the feature-marked data through the data processing end and then sending it to the corresponding storage nodes for distributed storage includes: The cloud database is provided with corresponding storage space according to different data types, which is used to store data information of corresponding data types, obtain data information and its data sequence that have been encrypted by the data processing end, set a corresponding number of storage nodes according to the number of its data sequences, mark each storage node, sort each storage node through a random number generation algorithm, and randomly store the data sequence in the corresponding storage node for distributed storage.

7. The information cloud encryption method based on 5G communication according to claim 6 is characterized in that: The process of setting secondary access rights for the corresponding user by the data processing end according to the process of encrypting the data information, sending the secondary access rights to the user end, verifying the user's initial access rights, and determining whether to grant the user access rights to the user end includes: The data processing end obtains the data sequence corresponding to different feature mark data obtained by the RSA algorithm, sets the corresponding public key group and private key group, generates the corresponding digital signature according to the user account with the corresponding private key in the private key group and the corresponding feature mark data, and records the digital signature corresponding to the corresponding data information as the secondary access permission; and sends the secondary access permission to the user end; The user terminal verifies the user's identity information through the initial access permission, and opens the permission to enter the user terminal to the user who has completed the verification. The user enters the corresponding initial access permission, and the entered initial access permission is matched with the set initial access permission. If the match is successful, the user is granted permission to enter the user terminal.

8. The information cloud encryption method based on 5G communication according to claim 7, characterized in that: After entering the user terminal, the user uploads the secondary access permission to the data processing terminal, and the data processing terminal determines whether it can be decrypted. If the decryption is successful, the obtained data information is sent to the user terminal. If the decryption fails, the abnormal information is sent to the user terminal through 5G communication. The process includes: When the user enters the user terminal, he / she inputs any digital signature in the secondary access permission through the user terminal and uploads it to the data processing terminal. The data processing terminal uses the private key of the corresponding feature mark data in the digital signature to decrypt the relevant data sequence. If the decryption is successful, the start marker and end marker of the data sequence stored in the corresponding storage node and the corresponding private key group are obtained. The relevant data sequences are decrypted in turn according to the connection result to obtain the corresponding data information, and the obtained data information is sent to the user terminal. If the decryption fails, an exception information is generated and sent to the user terminal through 5G communication, and the relevant storage nodes are reordered.

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