Digital service management system for drawing psychological assessment

Abstract

The invention discloses a drawing psychological assessment digital service management system, relates to the technical field of digital management, and solves the technical problems that a common data encryption mode may have a leakage risk and lacks an effective encryption protection mechanism when facing hostile attacks. Different numbers of random salts are generated according to the data capacity tail value of the complete data packet, and are ingeniously inserted into the complete data packet, so that the complexity of data encryption is greatly increased, even if encrypted information is acquired, the encrypted information is difficult to crack through a conventional means, the security of data in the transmission and storage process is improved, and the security of the data is improved. Random salt encryption is adopted, the spliced data are segmented and recombined to obtain secondary processing data, then the secondary processing data are encrypted through a hash function to generate encrypted information, and by means of the multi-layer encryption mode, multiple security defense lines are constructed to enhance the confidentiality and integrity of the data.

Description

Technical Field

[0001] The invention relates to the technical field of digital management, in particular to a digital service management system for painting psychological evaluation. Background Art

[0002] With the development of digital technology, some digital service management systems for painting psychological assessment have emerged.

[0003] The patent application with publication number CN115828289A discloses a method and system for encrypting digital archives, including a data judgment module, an object encryption module, a request judgment module and a request processing module; by restricting the authorized persons of the document and performing multiple encryption on the document through the relevant information of the authorized persons and the authorized devices, it is possible to effectively control the access persons and access devices of the document, thereby playing a role in the security protection of digital document data, especially for the comparison and confirmation of the authorized person information and the hardware information, which can effectively prevent the unauthorized persons from arbitrarily accessing the document, and is more suitable for the document data storage of individuals or small groups.

[0004] However, the existing system has deficiencies in the sophistication, security and integration of automated processes in data processing. Common data encryption methods may not be able to fully guarantee the security of painting evaluation data. In the face of malicious attacks, there is a risk of data leakage, especially during data transmission and storage, where there is a lack of effective encryption protection mechanisms. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a digital service management system for painting psychological assessment, which solves the problem that common data encryption methods may have leakage risks and lack effective encryption protection mechanisms when facing malicious attacks.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a digital service management system for painting psychological evaluation, comprising: A painting information acquisition module, used for transmitting the acquired finished painting to the painting information comprehensive processing module; A painting information comprehensive processing module is used to analyze the acquired finished painting, acquire the painting elements on the finished painting through image recognition technology, and classify the painting elements to obtain painting classification information, and transmit it to the classification information processing module; The classification information processing module is used to process the acquired painting classification information, obtain segmented data packets by equally dividing the entire painting classification information, and obtain complete data packets by performing secondary analysis based on the integrity of the data in the segmented data packets, and generate different numbers of random salts according to the mantissa value of the data capacity of the complete data packet, and then transmit the random salts to the encryption comprehensive processing module; The encryption comprehensive processing module is used to perform encryption processing according to the number of random salts corresponding to the complete data packet, insert the generated random salt into the complete data packet according to the number of random salts to generate spliced ​​data, and simultaneously perform segmentation and reorganization processing on the obtained spliced ​​data to obtain secondary processing data, and use a hash function to encrypt the secondary processing data to generate encrypted information, and then transmit the encrypted information to the management information output module; The management information output module is used to encrypt the finished painting according to the obtained encryption information.

[0007] As a further solution of the present invention, the specific method of generating the painting classification information by the painting information comprehensive processing module is: All finished paintings are obtained, and the painting elements in the finished paintings are identified using image recognition technology. Then, the finished paintings are classified into the same type according to the types of painting elements, and the painting elements are obtained. Then, the finished paintings with the same painting elements are analyzed. If the number of the same painting elements is greater than a preset value, and the value of the preset value is based on the number of painting elements, it means that the two are the same type of paintings. Otherwise, it means that the two are different types of paintings, and painting classification information is generated at the same time.

[0008] As a further solution of the present invention, the specific manner in which the classification information processing module processes the painting classification information is as follows: Obtaining the painting classification information and marking it as i, where i=1, 2, ..., j, where j represents the number of the painting classification information, then dividing the painting classification information i into nine equal parts according to the data capacity to obtain segmented data packets, and analyzing the segmented data packets at the same time; Then, the segmented data packets corresponding to any set of painting classification information are obtained and labeled as a, where a=1, 2, ..., 9. Then, the data integrity corresponding to the segmented data packet a is judged and classified into complete segmented data packets and incomplete segmented data packets. At the same time, the incomplete data capacity of the incomplete segmented data packets is analyzed and processed to obtain the complete data packets.

[0009] As a further solution of the present invention, the specific manner in which the classification information processing module analyzes and processes the incomplete data capacity of the incomplete segmented data packet to obtain a complete data packet is: Obtain all incomplete segmented data packets and the incomplete data capacity corresponding to the incomplete segmented data packets, then compare the incomplete data capacity with the capacity threshold. If the incomplete data capacity is greater than the capacity threshold, the incomplete data is padded. Otherwise, if the incomplete data capacity is less than the capacity threshold, the incomplete data is removed to obtain a complete data packet.

[0010] As a further solution of the present invention, the classification information processing module generates different numbers of random salts according to the mantissa value of the data capacity of the complete data packet in the following manner: Get all the complete data packets, and then get the data capacity tail value corresponding to the complete data packet as the quantity standard. The system generates a corresponding number of random salts based on the quantity standard, and attaches the generated random salt to the corresponding complete data packet. Similarly, perform the same processing on all the segmented data packets and generate corresponding random salts.

[0011] As a further solution of the present invention, the specific method of generating the splicing data by the encryption comprehensive processing module is: Obtain all complete data packets a corresponding to the painting classification information i, then obtain the number of random salts corresponding to the complete data packets a, and classify the complete data packets a into single-volume data packets and non-single-volume data packets according to the number of random salts, and perform encryption analysis on the two respectively; Perform cryptographic analysis on a single data packet, obtain the generated random salt, and insert the random salt into the beginning and end of the corresponding complete data packet to generate spliced ​​data; Perform encryption analysis on non-single-quantity data packets to obtain non-single-quantity data packets and corresponding random salts, then split the corresponding complete data packets based on the number of random salts as split points, and insert the random salts into the complete data packets in the order of the split points to generate spliced ​​data.

[0012] As a further solution of the present invention, the encryption comprehensive processing module performs segmentation and reorganization processing on the spliced ​​data to obtain secondary processed data in the following specific manner: Acquire all the spliced ​​data, and divide the spliced ​​data into two equal parts according to the data capacity to obtain equally divided spliced ​​data segments, and obtain the data capacity corresponding to the equally divided spliced ​​data segments, and classify the equally divided spliced ​​data segments according to the data capacity to obtain equally divided spliced ​​data segments with the same capacity and equally divided spliced ​​data segments with different capacities; Obtain all equally-divided and spliced ​​data segments of the same capacity, and combine the equally-divided and spliced ​​data segments of the same capacity in reverse order according to corresponding labels to obtain secondary processed data; At the same time, all non-identical capacity evenly divided and spliced ​​data segments are obtained, and the corresponding quantity of all evenly divided and spliced ​​data segments is obtained. If the quantity is greater than the preset quantity value, the non-identical capacity evenly divided and spliced ​​data segments are divided into two groups according to the labels. If the quantity is less than the preset quantity value, the non-identical capacity evenly divided and spliced ​​data segments are combined into one group, and then the obtained grouped non-identical capacity evenly divided and spliced ​​data segments are overall reversed to obtain secondary processed data.

[0013] As a further solution of the present invention, the encryption comprehensive processing module processes the secondary processing data to generate encryption information in the following specific manner: The obtained secondary processed data is encrypted using a hash function to obtain a corresponding hash value, and the hash value is stored to generate encrypted information.

[0014] The present invention provides a digital service management system for painting psychological assessment. Compared with the prior art, it has the following beneficial effects: The present invention introduces random salts in the encryption process, generates different numbers of random salts according to the mantissa value of the data capacity of the complete data packet, and cleverly inserts them into the complete data packet. This method greatly increases the complexity of data encryption, making it difficult to crack by conventional means even if the encrypted information is obtained, thereby improving the security of data during transmission and storage. Not only random salt encryption is used, but also the spliced ​​data is segmented and reorganized to obtain secondary processing data, and then the secondary processing data is encrypted by a hash function to generate encrypted information. This multi-layer encryption method builds multiple security lines of defense and further enhances the confidentiality and integrity of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments 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.

[0017] Embodiment 1 See also Figure 1 The present application provides a digital service management system for painting psychological assessment, including a painting information acquisition module, a painting information comprehensive processing module, a classification information processing module, an encryption comprehensive processing module and a management information output module, and combines Figure 1 It can be known that the above functional modules are electrically connected in a unidirectional manner.

[0018] The painting information acquisition module is used to acquire the user's finished painting and transmit it to the painting information comprehensive processing module.

[0019] The painting information comprehensive processing module is used to analyze the acquired finished paintings, acquire the painting elements on the finished paintings through image recognition technology, and classify the painting elements to obtain painting classification information, and transmit it to the classification information processing module.

[0020] All finished paintings are obtained, and the painting elements in the finished paintings are identified by using image recognition technology. The painting elements include lines, colors, graphics, layouts and other elements. For example, the size and position of the characters in the paintings, the structure of the houses, the shapes of the trees, etc. are identified. Then, the finished paintings are classified into the same type according to the types of painting elements. The specific classification method is as follows: painting elements are obtained, including lines, colors, graphics and layouts. Then, the finished paintings with the same painting elements are analyzed. If the number of the same painting elements is greater than a preset value, it indicates that the two are the same type of paintings. Otherwise, it indicates that the two are different types of paintings. The specific preset value is set by the operator and is taken according to the number of the obtained painting elements. For example, if the obtained painting elements are four, the preset value can be set to three. At the same time, painting classification information is generated and transmitted to the classification information output module.

[0021] The classification information processing module is used to process the acquired painting classification information by equally dividing the entire painting classification information to obtain segmented data packets, and performing secondary analysis based on the integrity of the data in the segmented data packets to obtain complete data packets, and generating different numbers of random salts according to the tail value of the data capacity of the complete data packet, and then transmitting the random salts to the encryption comprehensive processing module.

[0022] Obtain the painting classification information and label it as i, where i=1, 2, ..., j, where j represents the number of painting classification information, and specifically i represents the type of painting, then divide the painting classification information i into nine equal parts according to the data capacity to obtain segmented data packets, and obtain the segmented data packets corresponding to any group of painting classification information for analysis; The obtained segmented data packets are labeled as a, and a=1, 2, ..., 9. Then, the data integrity corresponding to the segmented data packet a is judged and classified into complete segmented data packets and incomplete segmented data packets. At the same time, all incomplete segmented data packets are obtained, and the incomplete data capacity corresponding to the incomplete segmented data packets is obtained. Here, the incomplete data capacity is expressed as the incomplete capacity of a group of data. Then, the incomplete data capacity is compared with the capacity threshold, and the specific value of the capacity threshold is set by the operator. Here, the value is half of the corresponding data capacity. For example, the total data capacity corresponding to the incomplete data is 4Mb, and the corresponding capacity threshold is 2Mb. If the incomplete data capacity is greater than the capacity threshold, the incomplete data capacity will be The complete data is filled, otherwise, if the capacity of the incomplete data is less than the capacity threshold, the incomplete data is removed. The specific filling method is to fill the data belonging to the same group of data. For example, the incomplete segmented data packet is labeled 1, and the adjacent incomplete segmented data packet is labeled 2. After analysis, if the incomplete data of the incomplete segmented data packet 1 is greater than the corresponding capacity threshold, the incomplete data of the same group in the incomplete segmented data packet 2 is filled into the incomplete segmented data packet 1. Otherwise, if the incomplete data of the incomplete segmented data packet 1 is less than the corresponding capacity threshold, the corresponding incomplete data is removed, and the removed incomplete data is added to the incomplete segmented data packet 2. After the above analysis, a complete data packet is obtained; All complete data packets are obtained, and the capacity of the complete data packets here may be the same or different after processing. Then the data capacity tail value corresponding to the complete data packet is obtained as the quantity standard. The system generates a corresponding number of random salts based on the quantity standard. Salt is a string of randomly generated characters, and its length is usually fixed, such as 16 bits or 32 bits. For example, if the data capacity tail value of one group of complete data packets is 5, then 5 groups of random salts are generated accordingly. The default data capacity tail value here is not equal to 0, and the generated random salt is attached to the corresponding complete data packet.

[0023] By analogy, all segmented data packets are processed in the same way, and corresponding random salts are generated, and the generated random salts are transmitted to the encryption integrated processing module.

[0024] An encryption comprehensive processing module is used to perform encryption processing according to the number of random salts corresponding to the complete data packet, insert the generated random salt into the complete data packet according to the number of random salts to generate spliced ​​data, and at the same time divide and reorganize the obtained spliced ​​data to obtain secondary processing data, and use a hash function to encrypt the secondary processing data to generate encrypted information, and then transmit the encrypted information to the management information output module.

[0025] Obtain all complete data packets a corresponding to the painting classification information i, and the labels here have the same meaning as the original labels, then obtain the number of random salts corresponding to the complete data packet a, and classify the complete data packet a into single-quantity data packets and non-single-quantity data packets according to the number of random salts, and the single-quantity data packet here means that there is only one set of random salts, and the non-single-quantity data packet means that there are two or more sets of random salts, and perform encryption analysis on the two respectively; Perform encryption analysis on a single data packet, obtain the generated random salt, and insert the random salt into the first and last sides of the corresponding complete data packet to generate spliced ​​data. The number of insertions here is two, but the inserted random salts are the same set of random salts.

[0026] Perform encryption analysis on non-single-quantity data packets, obtain non-single-quantity data packets and corresponding random salts, then split the corresponding complete data packets with the number of random salts as the split points, and insert the random salts into the complete data packets in the order of the split points to generate spliced ​​data. For example, if there are five groups of random salt data, the complete data packet is split to obtain five split points, and six groups of split data are obtained, and then the five groups of random salts are inserted into them in the order of the split points.

[0027] Then, all the spliced ​​data are obtained. Specifically, the number of spliced ​​data is the same as the number of complete data packets a, specifically, there are 9 groups. Meanwhile, the spliced ​​data is equally divided into two parts according to the data capacity to obtain equally divided spliced ​​data segments, which are respectively recorded as a1 and a2. For example, the equally divided spliced ​​data segments obtained after equally dividing the spliced ​​data labeled 1 are represented as 11 and 12. Similarly, all the spliced ​​data are equally divided, 11 and 12, 21 and 22, ..., 91 and 92, and the data capacity corresponding to the equally divided spliced ​​data segments is obtained. The equally divided spliced ​​data segments are classified according to the data capacity to obtain equally divided spliced ​​data segments with the same capacity and equally divided spliced ​​data segments with different capacities. Obtain all equally-divided and spliced ​​data segments of the same capacity, and combine the equally-divided and spliced ​​data segments of the same capacity in reverse order according to corresponding labels to obtain secondary processed data; At the same time, all equally-divided spliced ​​data segments with different capacities are obtained, and the corresponding quantities of all equally-divided spliced ​​data segments are obtained. If the quantity is greater than the preset quantity value, and the specific value of the preset quantity value is set by the operator, and the value here is 4, the equally-divided spliced ​​data segments with different capacities are divided into two groups according to the labels, and the grouping method is to perform grouping processing in sequence according to the corresponding label order. If the quantity is less than the preset quantity value, the equally-divided spliced ​​data segments with different capacities are combined into one group, and then the obtained grouped equally-divided spliced ​​data segments with different capacities are processed in reverse order as a whole to obtain secondary processing data; Specifically, the system compares the number of data segments counted with the preset value set by the operator. The preset value set by the operator is 4. If the number of data segments is greater than 4, for example, we have counted 6 data segments with different capacities and evenly divided and spliced ​​together, then the system will divide the 6 data segments into two groups according to the data segment numbers, that is, data segments No. 1, 2, and 3 are one group, and data segments No. 4, 5, and 6 are another group. If the number of data segments is less than 4, for example, there are only 3 data segments with different capacities and evenly divided and spliced ​​together, then the system will combine these 3 data segments into one group.

[0028] Then, a hash function is used to encrypt the obtained secondary processed data to obtain a corresponding hash value, and the hash value is stored at the same time to generate encrypted information, and the generated encrypted information is transmitted to the management information output module.

[0029] The management information output module is used to encrypt the finished painting according to the obtained encryption information.

[0030] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0031] 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 digital service management system for painting psychological assessment, characterized in that: include: A painting information acquisition module, used for transmitting the acquired finished painting to the painting information comprehensive processing module; A painting information comprehensive processing module is used to analyze the acquired finished painting, acquire the painting elements on the finished painting through image recognition technology, and classify the painting elements to obtain painting classification information, and transmit it to the classification information processing module; The classification information processing module is used to process the acquired painting classification information, obtain segmented data packets by equally dividing the entire painting classification information, and obtain complete data packets by performing secondary analysis based on the integrity of the data in the segmented data packets, and generate different numbers of random salts according to the mantissa value of the data capacity of the complete data packet, and then transmit the random salts to the encryption comprehensive processing module; The encryption comprehensive processing module is used to perform encryption processing according to the number of random salts corresponding to the complete data packet, insert the generated random salt into the complete data packet according to the number of random salts to generate spliced ​​data, and simultaneously perform segmentation and reorganization processing on the obtained spliced ​​data to obtain secondary processing data, and use a hash function to encrypt the secondary processing data to generate encrypted information, and then transmit the encrypted information to the management information output module; The management information output module is used to encrypt the finished painting according to the obtained encryption information.

2. A digital service management system for painting psychological assessment according to claim 1, characterized in that: The specific method of generating the painting classification information by the painting information comprehensive processing module is as follows: All finished paintings are obtained, and the painting elements in the finished paintings are identified using image recognition technology. The finished paintings are classified into the same type according to the types of painting elements. The painting elements are obtained, and then the finished paintings with the same painting elements are analyzed. If the number of the same painting elements is greater than a preset value, and the value of the preset value is based on the number of painting elements, it means that the two are the same type of paintings. Otherwise, it means that the two are different types of paintings, and painting classification information is generated at the same time.

3. A digital service management system for painting psychological assessment according to claim 1, characterized in that: The specific method in which the classification information processing module processes the painting classification information is as follows: Obtaining the painting classification information and marking it as i, where i=1, 2, ..., j, where j represents the number of the painting classification information, then dividing the painting classification information i into nine equal parts according to the data capacity to obtain segmented data packets, and analyzing the segmented data packets at the same time; Then, the segmented data packets corresponding to any set of painting classification information are obtained and labeled as a, where a=1, 2, ..., 9. Then, the data integrity corresponding to the segmented data packet a is judged and classified into complete segmented data packets and incomplete segmented data packets. At the same time, the incomplete data capacity of the incomplete segmented data packets is analyzed and processed to obtain the complete data packets.

4. A digital service management system for painting psychological assessment according to claim 3, characterized in that: The specific method in which the classification information processing module analyzes and processes the incomplete data capacity of the incomplete segmented data packet to obtain a complete data packet is: Obtain all incomplete segmented data packets and the incomplete data capacity corresponding to the incomplete segmented data packets, then compare the incomplete data capacity with the capacity threshold. If the incomplete data capacity is greater than the capacity threshold, the incomplete data is padded. Otherwise, if the incomplete data capacity is less than the capacity threshold, the incomplete data is removed to obtain a complete data packet.

5. A digital service management system for painting psychological assessment according to claim 1, characterized in that: The classification information processing module generates different numbers of random salts according to the mantissa value of the complete data packet data capacity as follows: Get all the complete data packets, and then get the data capacity tail value corresponding to the complete data packet as the quantity standard. The system generates a corresponding number of random salts based on the quantity standard, and attaches the generated random salt to the corresponding complete data packet. Similarly, perform the same processing on all the segmented data packets and generate corresponding random salts.

6. A digital service management system for painting psychological assessment according to claim 1, characterized in that: The specific method of generating the splicing data by the encryption comprehensive processing module is: Obtain all complete data packets a corresponding to the painting classification information i, then obtain the number of random salts corresponding to the complete data packets a, and classify the complete data packets a into single-volume data packets and non-single-volume data packets according to the number of random salts, and perform encryption analysis on the two respectively; Perform cryptographic analysis on a single data packet, obtain the generated random salt, and insert the random salt into the beginning and end of the corresponding complete data packet to generate spliced ​​data; Perform encryption analysis on non-single-quantity data packets to obtain non-single-quantity data packets and corresponding random salts, then split the corresponding complete data packets based on the number of random salts as split points, and insert the random salts into the complete data packets in the order of the split points to generate spliced ​​data.

7. A digital service management system for painting psychological assessment according to claim 1, characterized in that: The specific method of the encryption comprehensive processing module to segment and reorganize the spliced ​​data to obtain the secondary processed data is: Acquire all the spliced ​​data, and divide the spliced ​​data into two equal parts according to the data capacity to obtain equally divided spliced ​​data segments, and obtain the data capacity corresponding to the equally divided spliced ​​data segments, and classify the equally divided spliced ​​data segments according to the data capacity to obtain equally divided spliced ​​data segments with the same capacity and equally divided spliced ​​data segments with different capacities; Obtain all equally-divided and spliced ​​data segments of the same capacity, and combine the equally-divided and spliced ​​data segments of the same capacity in reverse order according to corresponding labels to obtain secondary processed data; At the same time, all non-identical capacity evenly divided and spliced ​​data segments are obtained, and the corresponding quantity of all evenly divided and spliced ​​data segments is obtained. If the quantity is greater than the preset quantity value, the non-identical capacity evenly divided and spliced ​​data segments are divided into two groups according to the labels. If the quantity is less than the preset quantity value, the non-identical capacity evenly divided and spliced ​​data segments are combined into one group, and then the obtained grouped non-identical capacity evenly divided and spliced ​​data segments are overall reversed to obtain secondary processed data.

8. A digital service management system for painting psychological assessment according to claim 1, characterized in that: The specific method in which the encryption comprehensive processing module processes the secondary processing data to generate encryption information is as follows: The obtained secondary processed data is encrypted using a hash function to obtain a corresponding hash value, and the hash value is stored to generate encrypted information.

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