Information management system of digital new media

Abstract

The invention discloses a digital new media information management system, which comprises a cloud database, a data integration and management module, a data security and privacy protection module, a real-time data monitoring and early warning module and an intelligent editing and collaboration module, and is characterized in that data classification, standardization and version control are realized by setting the data integration and management module; and the data consistency and accuracy are improved. Meanwhile, by arranging a data security and privacy protection module and adopting an encryption technology, access authority control, data backup and other measures, it is ensured that data is not subjected to hacker attack and data leakage threats in the transmission and storage process, in addition, a real-time data monitoring and early warning module is further arranged, a user is helped to know the data state and trend in real time, and the user experience is improved. And finally, through an intelligent editing and cooperation module, data errors are automatically processed, the data processing efficiency and accuracy are improved, a user is helped to discover data association and modes, and the data analysis effect and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to new media information management technology, in particular to an information management system for digital new media. Background Art

[0002] One of the characteristics of digital new media is multi-platform publishing and dissemination. Media organizations and individuals need to publish digital content on multiple platforms such as websites, mobile applications, and social media at the same time, while ensuring the consistency and accuracy of the content. Information management systems can provide a unified content management interface to help users publish and manage content on different platforms at the same time, thereby improving work efficiency.

[0003] With the popularity of the Internet and mobile devices, digital media data continues to grow. How to effectively process, store, manage and retrieve this massive amount of data has become a major challenge.

[0004] Information management of digital new media often faces challenges in data security and privacy protection. As a large amount of personal data and sensitive information flows and is stored in digital media, there are high security risks such as data leakage, infringement and hacker attacks. Therefore, it is necessary to strengthen data security management and privacy protection measures, adopt encryption technology, access control and monitoring systems to ensure data security and privacy are not violated. Summary of the invention

[0005] In order to solve the above-mentioned technical problems, the present invention provides an information management system for digital new media.

[0006] The technical solution of the present invention is achieved in this way:

[0007] An information management system for digital new media includes a cloud database, a data integration and management module, a data security and privacy protection module, a real-time data monitoring and early warning module, and an intelligent editing and collaboration module. The data integration and management module is in data communication with the cloud database, the real-time data monitoring and early warning module is in communication connection with the cloud database, the intelligent editing and collaboration module is connected with the data security and privacy protection module, and the data security and privacy protection module is in data communication with the cloud database.

[0008] The purpose of the present invention and the solution to its technical problems can be further achieved by adopting the following technical measures.

[0009] Further, the data integration and management module includes a data classification unit, a data standardization unit, a data simplification unit, a data correction unit and a cloud data update unit;

[0010] The data classification unit classifies the data into different categories or category levels according to the nature, content or purpose of the data, obtains data types, and loads them into the cloud database for data integration;

[0011] The data standardization unit converts data of different formats and structures into a unified standard format according to standardization rules, obtains standardized data, and transmits it to the data simplification unit;

[0012] The data reduction unit is responsible for compressing and simplifying a large amount of standardized data and transmitting it to the data security and privacy protection module, which transmits the data securely;

[0013] The data correction unit detects and corrects errors and inconsistencies in the data, improving the accuracy and completeness of the data;

[0014] The cloud data updating unit updates the data in the cloud database in real time or regularly to keep the data up to date.

[0015] Further, the data security and privacy protection module includes a data security transmission unit, a data activity encryption unit and a security detection unit;

[0016] The data security transmission unit provides a secure environment for data transmission, which is used to ensure the security of data during transmission and prevent data from being tampered with or leaked;

[0017] The data activity encryption unit encrypts the data to protect the privacy and confidentiality of the data;

[0018] The security detection unit is used to monitor and detect security holes and threats in data, and can discover and respond to potential security issues in advance.

[0019] Furthermore, the real-time data monitoring and early warning module includes a data monitoring unit and a safety early warning unit;

[0020] The data monitoring unit monitors the changes and status of data in real time, promptly discovers the change trend, abnormal values ​​or other abnormal situations of data, and helps users to grasp the latest status of data in a timely manner;

[0021] The security warning unit identifies and warns abnormal data according to preset rules or models, prevents potential security risks, sends security alerts, and generates security reports.

[0022] Further, the intelligent editing and collaboration module includes a data automatic editing unit and a data auxiliary unit;

[0023] The automatic data editing unit automatically edits and corrects errors and omissions in the initial data created by the user, thereby improving the quality and accuracy of the data;

[0024] The data assistance unit assists users in data processing and analysis tasks, and provides data visualization, data query and data mining.

[0025] The beneficial effects of the present invention are:

[0026] The present invention realizes data classification, standardization and version control by setting a data integration and management module, and improves data consistency and accuracy. At the same time, by setting a data security and privacy protection module, encryption technology, access control and data backup are adopted to ensure that data is not threatened by hacker attacks and data leakage during transmission and storage, and protect the personal privacy rights and interests of users. In addition, a real-time data monitoring and early warning module is also set to help users understand data status and trends in real time, warn of potential security risks, and provide security reports and analysis to reduce security risks and losses. Finally, through the intelligent editing and collaboration module, data errors are automatically processed, data processing efficiency and accuracy are improved, users are helped to discover data associations and patterns, and data analysis effects and efficiency are improved. The data security and privacy protection module of the present invention not only effectively protects the security and privacy of data, but also improves the ability of data processing and decision-making, reduces security risks and losses, and solves the problem of high security risks such as data leakage, infringement and hacker attacks due to the flow and storage of a large amount of personal data and sensitive information in digital media. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A system framework diagram of an information management system for digital new media of the present invention;

[0028] Figure 2 This is a working principle diagram of the data integration and management module in the present invention;

[0029] Figure 3 This is a working principle diagram of the data security and privacy protection module in the present invention;

[0030] Figure 4 This is a working principle diagram of the real-time data monitoring and early warning module in the present invention;

[0031] Figure 5 This is a working principle diagram of the intelligent editing and collaboration module in the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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.

[0033] Embodiment 1

[0034] like Figure 1-5 As shown, an information management system for digital new media includes a cloud database, a data integration and management module, a data security and privacy protection module, a real-time data monitoring and early warning module and an intelligent editing and collaboration module. The data integration and management module is in data communication with the cloud database, the real-time data monitoring and early warning module is communicatively connected with the cloud database, the intelligent editing and collaboration module is connected with the data security and privacy protection module, and the data security and privacy protection module is in data communication with the cloud database.

[0035] Further, the data integration and management module includes a data classification unit, a data standardization unit, a data simplification unit, a data correction unit and a cloud data update unit;

[0036] The data classification unit classifies the data into different categories or category levels according to the nature, content or purpose of the data, obtains data types, and loads them into the cloud database for data integration;

[0037] The data standardization unit converts data of different formats and structures into a unified standard format according to standardization rules, obtains standardized data, and transmits it to the data simplification unit;

[0038] The data reduction unit is responsible for compressing and simplifying a large amount of standardized data and transmitting it to the data security and privacy protection module, which transmits the data securely. Data reduction can improve the efficiency of data transmission and storage, reduce resource consumption, and provide more convenient operations for subsequent data security transmission;

[0039] The data correction unit detects and corrects errors and inconsistencies in the data, improving the accuracy and completeness of the data;

[0040] The data correction unit will detect the data to find possible errors and inconsistencies therein; once errors and inconsistencies are detected, the data correction unit will take appropriate measures to clean and correct the data. For example, if it is found that the value in a field is not within a predetermined range, it can be automatically corrected or marked as abnormal;

[0041] The data correction unit can also process duplicates in the data, detect duplicate data, and merge or mark them as duplicates, which can reduce data redundancy and improve data accuracy and completeness;

[0042] If the data correction unit cannot automatically correct errors or inconsistencies, it can mark these issues as anomalies and feed them back to the relevant personnel for processing by generating anomaly reports;

[0043] The data correction unit can also monitor and evaluate data quality. It can regularly check the accuracy, completeness and consistency of data and generate relevant data quality indicators and reports.

[0044] The data correction unit can effectively detect and correct errors and inconsistencies in the data and improve the accuracy and completeness of the data, which is very important for subsequent data processing and analysis, because accurate and complete data can provide a reliable basis to support correct decision-making and analysis.

[0045] The cloud data updating unit updates the data in the cloud database in real time or regularly to keep the data up to date.

[0046] Further, the data security and privacy protection module includes a data security transmission unit, a data activity encryption unit and a security detection unit;

[0047] The data security transmission unit provides a secure environment for data transmission, which is used to ensure the security of data during transmission and prevent data from being tampered with or leaked;

[0048] The data monitoring unit monitors the changes and status of data in real time, promptly discovers the change trend, abnormal values ​​or other abnormal situations of data, and helps users to grasp the latest status of data in a timely manner;

[0049] The security warning unit identifies and warns abnormal data according to preset rules or models, prevents potential security risks, sends security alerts, and generates security reports.

[0050] Further, the intelligent editing and collaboration module includes a data automatic editing unit and a data auxiliary unit;

[0051] The automatic data editing unit automatically edits and corrects errors and omissions in the initial data created by the user, thereby improving the quality and accuracy of the data;

[0052] The data assistance unit assists users in data processing and analysis tasks, and provides data visualization, data query and data mining.

[0053] Embodiment 2

[0054] An information management system for digital new media includes a cloud database, a data integration and management module, a data security and privacy protection module, a real-time data monitoring and early warning module, and an intelligent editing and collaboration module. The data integration and management module is in data communication with the cloud database, the real-time data monitoring and early warning module is in communication connection with the cloud database, the intelligent editing and collaboration module is connected with the data security and privacy protection module, and the data security and privacy protection module is in data communication with the cloud database.

[0055] Further, the data integration and management module includes a data classification unit, a data standardization unit, a data simplification unit, a data correction unit and a cloud data update unit;

[0056] The data classification unit classifies the data into different categories or category levels according to the nature, content or purpose of the data, obtains data types, and loads them into the cloud database for data integration;

[0057] The data standardization unit converts data of different formats and structures into a unified standard format according to standardization rules, obtains standardized data, and transmits it to the data simplification unit;

[0058] The data reduction unit is responsible for compressing and simplifying a large amount of standardized data and transmitting it to the data security and privacy protection module, which transmits the data securely;

[0059] The data correction unit detects and corrects errors and inconsistencies in the data, improving the accuracy and completeness of the data;

[0060] The cloud data updating unit updates the data in the cloud database in real time or periodically to keep the data up to date.

[0061] Further, the data security and privacy protection module includes a data security transmission unit, a data activity encryption unit and a security detection unit;

[0062] The data security transmission unit provides a secure environment for data transmission, which is used to ensure the security of data during transmission and prevent data from being tampered with or leaked;

[0063] The secure transmission unit encrypts the data before transmission, converts the data into ciphertext, and saves it to the cloud database. Only the authorized recipient can decrypt and restore the data to the original data.

[0064] To ensure the integrity and authenticity of the data, the sender signs the data with a private key, and the receiver uses the sender's public key to verify the legitimacy of the signature to confirm that the data has not been tampered with. The steps are as follows:

[0065] S1. The sender encrypts the original data and chooses to use a symmetric encryption algorithm or an asymmetric encryption algorithm;

[0066] In symmetric encryption algorithms, the sender and receiver share the same key, and the ciphertext is generated by operating the original data and the key;

[0067] In an asymmetric encryption algorithm, the sender uses the receiver’s public key to encrypt data, generating ciphertext that can only be decrypted by the receiver who has the corresponding private key;

[0068] S2. The sender saves the encrypted data, i.e., the ciphertext, to the cloud database;

[0069] S3, giving cloud databases strict access control to ensure that only authorized recipients can access and decrypt data;

[0070] S4. Create a digital signature: Use the private key to sign the data. During the signing process, a summary of the original data is generated;

[0071] S5. The sender uses the private key to encrypt the summary and generate a digital signature; the receiver uses the sender's public key to decrypt the digital signature and obtain the summary;

[0072] S6. Compare the decrypted digest with the newly generated digest. If they are consistent, it proves that the data integrity and authenticity have not been tampered with.

[0073] By encrypting the data and storing it in the cloud database, the data can be effectively prevented from being obtained and tampered with by unauthorized personnel during transmission and storage, thus improving the security and confidentiality of the data;

[0074] Since the data is encrypted, even if it is intercepted during transmission, unauthorized personnel cannot decrypt and obtain the original data content, effectively preventing the risk of data leakage;

[0075] By means of digital signature, the receiver can verify the integrity and authenticity of the data, ensure that the data has not been tampered with or lost during transmission, and enhance the credibility of the data;

[0076] Encrypted data can be shared through cloud databases and other means, and only authorized recipients can decrypt and access the data, ensuring secure sharing and protection of data;

[0077] The use of technologies such as data encryption and digital signatures can meet compliance requirements and avoid the risks of illegal operations and data leakage.

Claims

1. An information management system for digital new media, characterized by: It includes a cloud database, a data integration and management module, a data security and privacy protection module, a real-time data monitoring and early warning module, and an intelligent editing and collaboration module. The data integration and management module is interconnected with the cloud database data, the real-time data monitoring and early warning module is connected to the cloud database, the intelligent editing and collaboration module is connected to the data security and privacy protection module, and the data security and privacy protection module is interconnected with the cloud database data; The data integration and management module classifies the data into different categories or category levels according to the nature, content or purpose of the data, obtains the data type, loads it into the cloud database for data integration, and converts the data of different formats and structures into a unified standard format according to the standardization rules to obtain standardized data. It is responsible for compressing and simplifying a large amount of standardized data and transmitting it to the data security and privacy protection module, which transmits the data securely, detects and corrects errors and inconsistencies in the data, improves the accuracy and integrity of the data, and updates the data in the cloud database in real time or regularly to keep the data up to date; The data security and privacy protection module provides a secure environment for data transmission, which is used to ensure the security of data during transmission, prevent data from being tampered with or leaked, encrypt data, protect data privacy and confidentiality, monitor and detect security vulnerabilities and threats in data, and can discover and respond to potential security issues in advance; Real-time data monitoring and early warning module monitors data changes and status in real time, promptly discovers data change trends, abnormal values ​​or other abnormal situations, helps users keep abreast of the latest data status, identifies and warns of abnormal data based on preset rules or models, prevents potential security risks, sends security alerts, and generates security reports; The intelligent editing and collaboration module automatically edits and corrects errors and omissions in the initial data created by users, improves the quality and accuracy of data, assists users in data processing and analysis tasks, and provides data visualization, data query and data mining.

2. The information management system for digital new media according to claim 1, characterized in that: The data integration and management module includes a data classification unit, a data standardization unit, a data simplification unit, a data correction unit and a cloud data update unit; The data classification unit classifies the data into different categories or category levels according to the nature, content or purpose of the data, obtains data types, and loads them into the cloud database for data integration.

3. The information management system for digital new media according to claim 2, characterized in that: The data standardization unit converts data of different formats and structures into a unified standard format according to standardization rules, obtains standardized data, and transmits it to the data simplification unit; The data reduction unit is responsible for compressing and simplifying a large amount of standardized data and transmitting it to the data security and privacy protection module, which then transmits the data securely.

4. The information management system for digital new media according to claim 2, characterized in that: The data correction unit detects and corrects errors and inconsistencies in the data, improving the accuracy and completeness of the data; The cloud data updating unit updates the data in the cloud database in real time or regularly to keep the data up to date.

5. The information management system for digital new media according to claim 1, characterized in that: The data security and privacy protection module includes a data security transmission unit, a data activity encryption unit and a security detection unit; The data security transmission unit provides a secure environment for data transmission, which is used to ensure the security of data during transmission and prevent data from being tampered with or leaked; The data activity encryption unit encrypts the data to protect the privacy and confidentiality of the data; The security detection unit is used to monitor and detect security holes and threats in data, and can discover and respond to potential security issues in advance.

6. The information management system for digital new media according to claim 1, characterized in that: The real-time data monitoring and early warning module includes a data monitoring unit and a safety early warning unit; The data monitoring unit monitors the changes and status of data in real time, promptly discovers the change trend, abnormal values ​​or other abnormal situations of data, and helps users to grasp the latest status of data in a timely manner; The security warning unit identifies and warns abnormal data according to preset rules or models, prevents potential security risks, sends security alerts, and generates security reports.

7. The information management system for digital new media according to claim 1, characterized in that: The intelligent editing and collaboration module includes a data automatic editing unit and a data auxiliary unit; The automatic data editing unit automatically edits and corrects errors and omissions in the initial data created by the user, thereby improving the quality and accuracy of the data; The data assistance unit assists users in data processing and analysis tasks, and provides data visualization, data query and data mining.

8. The information management system for digital new media according to claim 5, characterized in that: The steps of the data security transmission unit confirming that the data has not been tampered with are as follows: S1. The sender encrypts the original data and chooses to use a symmetric encryption algorithm or an asymmetric encryption algorithm; In symmetric encryption algorithms, the sender and receiver share the same key, and the ciphertext is generated by operating the original data and the key; In an asymmetric encryption algorithm, the sender uses the receiver’s public key to encrypt data, generating ciphertext that can only be decrypted by the receiver who has the corresponding private key; S2. The sender saves the encrypted data, i.e., the ciphertext, to the cloud database; S3, giving cloud databases strict access control to ensure that only authorized recipients can access and decrypt data; S4. Create a digital signature: Use the private key to sign the data. During the signing process, a summary of the original data is generated; S5. The sender uses the private key to encrypt the summary and generate a digital signature; the receiver uses the sender's public key to decrypt the digital signature and obtain the summary; S6. Compare the decrypted digest with the newly generated digest. If they are consistent, it proves that the data integrity and authenticity have not been tampered with.

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