Enterprise intelligent logistics data management security system
By introducing multi-level authentication, dynamic permission adjustment, data encryption and real-time monitoring into the enterprise intelligent logistics data management system, the problem of lack of fine-grained access control in traditional data management methods is solved, and data security management is realized Risk warning significantly improves the security and reliability of enterprise data.
Patent Information
- Application Number
- CN202411248710.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-06
- Publication Date
- 2025-01-03
AI Technical Summary
Traditional data management methods lack fine-grained access control mechanisms, which leads to users being unable to limit data access based on their roles and permission levels, increasing the risk of data leakage and misuse, posing a huge security threat to enterprises.
A security system for enterprise intelligent logistics data management is designed, including access control module, permission management module, data backup module, data recovery module, data encryption module, security audit module, data monitoring module, intelligent early warning module and vulnerability management module. Multi-level authentication, dynamic permission adjustment, regular backup and recovery, data encryption, real-time monitoring and early warning, vulnerability scanning and other measures to ensure data security.
It effectively restricts users' access to logistics data, prevents data leakage and loss, ensures the security and integrity of data, promptly detects and responds to abnormal situations, prevents hacker attacks, and improves the security and reliability of the system.
Smart Images
Figure CN119249479A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data management, and in particular to an enterprise intelligent logistics data management security system. Background Art
[0002] With the development of science and technology, the intelligence and information level of the logistics industry has been continuously improved, and data management has become an important part of enterprise logistics management. The quality of logistics data management directly affects the company's production, technology, labor, transportation and financial operations and economic benefits. The intelligent management of logistics can further bring about the agility of the logistics system, effectively improve the company's operating efficiency, and make it possible for the company to create greater profits. Therefore, the intelligent management of logistics data is the development trend of modern enterprises.
[0003] However, traditional data management methods have many security risks, such as the lack of fine-grained access control mechanisms, which makes it impossible for users to restrict access to data based on their roles and permission levels, increasing the possibility of data leakage and misuse, and bringing huge risks to enterprises. Therefore, a system that can effectively protect the security of enterprise intelligent logistics data is needed. Summary of the invention
[0004] In order to remedy the above deficiencies, the present invention provides an enterprise intelligent logistics data management security system, which aims to improve the lack of fine-grained access control mechanism in the prior art, making it impossible for users to restrict access to data according to their roles and authority levels, increasing the possibility of data leakage and misuse, and posing huge risks to enterprises.
[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an enterprise intelligent logistics data management security system, comprising:
[0006] Access control module: provides multi-level authentication, including username and password, multi-factor authentication, and implements fine-grained access control based on roles or attributes to limit user access to logistics data;
[0007] Permission management module: dynamically adjust user access rights based on user roles and permission levels to ensure data security;
[0008] Data backup module: regularly back up logistics data, and quickly restore data when data is lost or damaged to ensure normal business operation;
[0009] Data recovery module: When the data backup module detects data loss or damage, it will immediately start the data recovery module to restore the data according to the backup strategy to ensure data integrity and consistency;
[0010] Data encryption module: encrypts logistics data to prevent data leakage and ensure data security;
[0011] Security audit module: records user access behavior to facilitate tracing and analysis when security issues occur;
[0012] Data monitoring module: monitor the changes in logistics data in real time, discover abnormal situations in time, and take corresponding measures;
[0013] Intelligent early warning module: predicts possible risks based on changes in logistics data and issues early warnings so that companies can take timely countermeasures;
[0014] Vulnerability management module: Regularly scan the system to find potential security vulnerabilities and fix them in time to prevent hacker attacks. At the same time, regularly update the system to ensure that the system is always up to date.
[0015] As a further description of the above technical solution:
[0016] The access control module includes the following modules:
[0017] User identity authentication module: responsible for verifying the user's identity to ensure that only legitimate users can access logistics data;
[0018] Permission allocation module: assign corresponding access rights to users according to their roles and permission levels;
[0019] Access control policy module: Develop and implement access control policies based on user roles and permission levels to limit user access to logistics data.
[0020] As a further description of the above technical solution:
[0021] The rights management module includes the following modules:
[0022] Dynamic permission adjustment module: dynamically adjusts user access rights according to user roles and permission levels to ensure data security;
[0023] Permission audit module: records user permission changes to facilitate tracing and analysis when security issues occur.
[0024] As a further description of the above technical solution:
[0025] The data backup module includes the following modules:
[0026] Data backup strategy formulation module: formulate a reasonable data backup strategy based on the importance and access frequency of logistics data;
[0027] Data backup execution module: According to the established backup strategy, logistics data is backed up regularly to ensure data integrity and consistency.
[0028] As a further description of the above technical solution:
[0029] The data recovery module includes the following modules:
[0030] Data recovery strategy formulation module: formulate a reasonable data recovery strategy based on the importance and access frequency of logistics data;
[0031] Data recovery execution module: When the data backup module detects data loss or damage, it will immediately start the data recovery module to restore the data according to the backup strategy to ensure data integrity and consistency.
[0032] As a further description of the above technical solution:
[0033] The data encryption module includes the following modules:
[0034] Data encryption strategy formulation module: formulate reasonable data encryption strategies based on the importance and access frequency of logistics data;
[0035] Data encryption execution module: encrypts logistics data to prevent data leakage and ensure data security.
[0036] As a further description of the above technical solution:
[0037] The security audit module includes the following modules:
[0038] User access behavior recording module: records user access behavior to facilitate tracing and analysis when security issues occur;
[0039] Security audit strategy formulation module: formulate reasonable security audit strategies based on the frequency and importance of user access behavior.
[0040] As a further description of the above technical solution:
[0041] The data monitoring module includes the following modules:
[0042] Data change detection module: monitor changes in logistics data in real time and detect abnormal situations in a timely manner;
[0043] Exception handling module: When an abnormal situation is detected, take corresponding measures, such as alarm and recording, to ensure the integrity and security of the data.
[0044] As a further description of the above technical solution:
[0045] The intelligent early warning module includes the following modules:
[0046] Data change analysis module: conduct in-depth analysis of changes in logistics data and identify potential risks;
[0047] Early warning strategy formulation module: formulate reasonable early warning strategies based on analysis results and issue early warnings;
[0048] Early warning execution module: According to the early warning strategy, early warning information is sent to relevant personnel in a timely manner so that the company can take timely response measures.
[0049] As a further description of the above technical solution:
[0050] The vulnerability management module includes the following modules:
[0051] Vulnerability scanning module: regularly scan the system for vulnerabilities to discover potential security vulnerabilities;
[0052] Vulnerability repair module: When a security vulnerability is discovered, it is repaired in a timely manner to prevent hacker attacks; system update module: regularly update the system to ensure that the system is always up to date and improve system security.
[0053] The present invention has the following beneficial effects:
[0054] 1. In the present invention, the lack of fine-grained access control mechanism may increase the risk of data leakage and misuse through access control module, permission management module and data encryption module. The access control module provides multi-level identity authentication, including username and password, multi-factor identity authentication, and implements fine-grained access control based on roles or attributes to limit user access rights to logistics data; the permission management module dynamically adjusts user access rights according to the user's role and permission level to ensure data security; the data encryption module encrypts logistics data to prevent data leakage and ensure data security.
[0055] 2. In the present invention, the problem of data loss or damage can be effectively solved through the data backup module and the data recovery module. The data backup module regularly backs up the logistics data to ensure the integrity and consistency of the data. When the data backup module detects data loss or damage, it will immediately start the data recovery module and restore the data according to the backup strategy to ensure the integrity and consistency of the data. BRIEF DESCRIPTION OF THE DRAWINGS
[0056] Figure 1 This is a schematic diagram of the overall process of an enterprise intelligent logistics data management security system proposed by the present invention;
[0057] Figure 2 This is a flow chart of an enterprise intelligent logistics data management security system S1 proposed by the present invention;
[0058] Figure 3 This is a flow chart of an enterprise intelligent logistics data management security system S2 proposed by the present invention;
[0059] Figure 4 This is a flow chart of an enterprise intelligent logistics data management security system S3 proposed by the present invention;
[0060] Figure 5 This is a flow chart of an enterprise intelligent logistics data management security system S4 proposed by the present invention;
[0061] Figure 6 This is a schematic diagram of the S5 process of an enterprise intelligent logistics data management security system proposed by the present invention;
[0062] Figure 7 This is a schematic diagram of the process of an enterprise intelligent logistics data management security system S6 proposed by the present invention;
[0063] Figure 8 This is a schematic diagram of the S7 process of an enterprise intelligent logistics data management security system proposed by the present invention;
[0064] Fig. 9 This is a schematic diagram of the S8 process of an enterprise intelligent logistics data management security system proposed by the present invention;
[0065] Fig.10 This is a flow chart of the S9 process of an enterprise intelligent logistics data management security system proposed by the present invention. DETAILED DESCRIPTION
[0066] 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.
[0067] Reference Figure 1 Fig.10 , an embodiment provided by the present invention: an enterprise intelligent logistics data management security system, comprising:
[0068] Access control module: provides multi-level authentication, including username and password, multi-factor authentication, and implements fine-grained access control based on roles or attributes to limit user access to logistics data; the access control module is a vital part of the enterprise intelligent logistics data management security system, and is mainly responsible for ensuring that only legitimate users can access logistics data, and limiting their access to data based on their roles and permission levels.
[0069] Access control module, including the following modules:
[0070] User identity authentication module: responsible for verifying the identity of the user to ensure that only legitimate users can access logistics data; the user identity authentication module is used to verify the identity of the user to ensure that only legitimate users can access the system, and supports multiple identity authentication methods, including username and password, and two-factor authentication.
[0071] Permission allocation module: Assigns corresponding access rights to users based on their roles and permission levels; and the permission allocation module is also used to manage user permission changes, such as adding, modifying or deleting permissions.
[0072] Access control policy module: formulate and implement access control policies based on the user's role and permission level to limit the user's access to logistics data. The access control policy module is used to formulate and implement access control policies to limit the user's access to logistics data based on the user's role and permission level. It supports fine-grained access control and controls the user's permissions based on roles or attributes.
[0073] Permission management module: dynamically adjust user access rights based on user roles and permission levels to ensure data security;
[0074] The permission management module includes the following modules:
[0075] Dynamic permission adjustment module: dynamically adjusts user access rights according to user roles and permission levels to ensure data security; used to monitor user behavior and role changes, and update user permission settings in a timely manner according to actual needs.
[0076] Permission audit module: records the changes in user permissions, so as to facilitate tracing and analysis when security issues occur. Records the changes in user permissions, including the addition, modification, and deletion of permissions, and provides an audit log of permission changes, so as to facilitate tracing and analysis when security issues occur.
[0077] Data backup module: regularly back up logistics data, and quickly restore data when data is lost or damaged to ensure normal business operation;
[0078] Data backup module, including the following modules:
[0079] Data backup strategy formulation module: formulate a reasonable data backup strategy based on the importance and access frequency of logistics data;
[0080] Data backup execution module: According to the established backup strategy, logistics data is backed up regularly to ensure data integrity and consistency.
[0081] Data recovery module: When the data backup module detects data loss or damage, it will immediately start the data recovery module to restore the data according to the backup strategy to ensure data integrity and consistency;
[0082] Data recovery module, including the following modules:
[0083] Data recovery strategy formulation module: formulate a reasonable data recovery strategy based on the importance and access frequency of logistics data;
[0084] Data recovery execution module: When the data backup module detects data loss or damage, it will immediately start the data recovery module to restore the data according to the backup strategy to ensure data integrity and consistency.
[0085] Data encryption module: encrypts logistics data to prevent data leakage and ensure data security;
[0086] Data encryption module, including the following modules:
[0087] Data encryption strategy formulation module: formulate a reasonable data encryption strategy based on the importance and access frequency of logistics data; the data encryption strategy specifically adopts the RSA-OAEP encryption algorithm, by generating an RSA key pair, including a public key (n, e) and a private key (n, d), where n is the product of two large prime numbers p and q, e is the public key exponent, and d is the private key exponent; OAEP padding is performed on the plaintext to increase security, and the plaintext is masked, and the hash function SHA-1 or SHA-256 and a random number are used to generate the mask value, and the mask value and the random number are XORed to generate the padding value, ensuring that the length of the padded data is equal to the key length minus twice the output length of the hash function. The padded data is encrypted by RSA, and the encryption operation is performed using the public key. The encrypted ciphertext is the final output result.
[0088] Data encryption execution module: Encrypts logistics data to prevent data leakage and ensure data security. It is used to receive plaintext data and apply the formulated data encryption strategy, use the RSA-OAEP encryption algorithm to generate ciphertext, use the public key for encryption operations, ensure that only the entity holding the corresponding private key can decrypt, and safely store or transmit the generated ciphertext to the place where the data needs to be accessed, ensuring that sensitive information will not be leaked during data transmission, and ensuring that the generated RSA key pair is properly managed to prevent private key leakage.
[0089] Security audit module: records user access behavior to facilitate tracing and analysis when security issues occur;
[0090] Security audit module, including the following modules:
[0091] User access behavior recording module: records user access behavior for easy tracing and analysis when security issues occur; tracks and records user access behavior to the system, including login, access, modification, deletion or other operations. The recorded information includes user identity, timestamp, resources accessed, and operations performed. The recorded user behavior data is securely stored in the system for subsequent auditing and analysis.
[0092] Security audit strategy formulation module: formulate reasonable security audit strategies based on the frequency and importance of user access behaviors. According to the formulated audit strategies, regularly collect and update audit data to ensure the timeliness and completeness of the data, ensure that the collection process of audit data does not have too much impact on system performance, analyze the collected audit data, identify abnormal behaviors and security threats. Generate audit reports, summarize analysis results, and provide necessary suggestions and improvement measures.
[0093] Data monitoring module: monitor the changes in logistics data in real time, discover abnormal situations in time, and take corresponding measures;
[0094] The data monitoring module includes the following modules:
[0095] Data change detection module: monitor changes in logistics data in real time and detect abnormal situations in a timely manner;
[0096] Continuously monitor changes in logistics data, including additions, modifications, deletions, and other operations. Set appropriate thresholds and monitoring rules based on the business rules, expected behaviors, or statistical models of the data to determine what changes are considered abnormal. Through real-time monitoring, potential abnormalities can be detected in a timely manner to ensure the real-time and consistency of data. Current data can be compared with historical data to identify changes that are inconsistent with normal operations, thereby triggering exception handling more accurately.
[0097] Exception handling module: When an abnormal situation is detected, take corresponding measures, such as alarm and recording, to ensure the integrity and security of data, record the detailed information of the abnormal event, including timestamp, triggering rules, and data involved, for subsequent analysis and investigation, and take automated response measures according to predefined strategies, such as suspending services, restoring data, and blocking accounts, so as to respond quickly when an abnormality occurs and reduce the delay of human intervention.
[0098] Intelligent early warning module: predicts possible risks based on changes in logistics data and issues early warnings so that companies can take timely countermeasures;
[0099] Intelligent early warning module, including the following modules:
[0100] Data change analysis module: conduct in-depth analysis of changes in logistics data and identify potential risks; conduct in-depth analysis of the collected logistics data, use data mining and machine learning technologies to identify potential risks, analyze abnormal data points, abnormal trends, and abnormal patterns, and identify possible risks based on the analysis results, such as cargo delays, abnormal routes, and traffic accidents, and further verify the identified risks by comparing with historical data and industry standards.
[0101] Early warning strategy formulation module: formulate reasonable early warning strategies based on the analysis results and issue early warnings in advance; set thresholds for triggering early warnings based on historical data, business needs and industry standards, such as when the cargo delay time exceeds a certain threshold or when the cargo location changes suddenly.
[0102] Early warning execution module: according to the early warning strategy, early warning information is sent to relevant personnel in a timely manner so that the enterprise can take timely response measures. When the early warning conditions are met, early warning notifications are sent to relevant personnel in a timely manner, including alarms, text messages, and emails. The early warning notifications contain sufficient information so that the recipient can understand the situation and take corresponding measures. The personnel who receive the early warning notification take corresponding response measures according to the early warning information, adjust the route or rearrange the logistics plan.
[0103] Vulnerability management module: Regularly scan the system to find potential security vulnerabilities and fix them in time to prevent hacker attacks. At the same time, regularly update the system to ensure that the system is always up to date.
[0104] Vulnerability management module, including the following modules:
[0105] Vulnerability scanning module: Regularly scan the system for vulnerabilities to discover potential security vulnerabilities; the scanning module detects known vulnerabilities in the system or uses automated tools to identify system vulnerabilities. Identified vulnerabilities include unauthorized access, unupdated software versions, and configuration errors. Evaluate the identified vulnerabilities to determine the severity and scope of the vulnerabilities. Based on the evaluation results, determine which vulnerabilities need to be addressed first and which can be resolved in subsequent cycles.
[0106] Vulnerability repair module: When a security vulnerability is discovered, it is repaired in a timely manner to prevent hacker attacks; after the repair, functional testing and security testing are required to ensure that the repair measures are effective and will not introduce new problems.
[0107] System update module: Update the system regularly to ensure that the system is always up to date and improve system security. This includes planning update time, backing up system data, and monitoring the update process to ensure that the update process does not affect the normal operation of the system.
[0108] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. An enterprise intelligent logistics data management security system, characterized by: include: Access control module: provides multi-level authentication, including username and password, multi-factor authentication, and implements fine-grained access control based on roles or attributes to limit user access to logistics data; Permission management module: dynamically adjust user access rights based on user roles and permission levels to ensure data security; Data backup module: regularly back up logistics data, and quickly restore data when data is lost or damaged to ensure normal business operation; Data recovery module: When the data backup module detects data loss or damage, it will immediately start the data recovery module to restore the data according to the backup strategy to ensure data integrity and consistency; Data encryption module: encrypts logistics data to prevent data leakage and ensure data security; Security audit module: records user access behavior to facilitate tracing and analysis when security issues occur; Data monitoring module: monitor the changes in logistics data in real time, discover abnormal situations in time, and take corresponding measures; Intelligent early warning module: predicts possible risks based on changes in logistics data and issues early warnings so that companies can take timely countermeasures; Vulnerability management module: Regularly scan the system to find potential security vulnerabilities and fix them in time to prevent hacker attacks. At the same time, regularly update the system to ensure that the system is always up to date.
2. According to claim 1, the enterprise intelligent logistics data management security system is characterized by: The access control module includes the following modules: User identity authentication module: responsible for verifying the user's identity to ensure that only legitimate users can access logistics data; Permission allocation module: assign corresponding access rights to users according to their roles and permission levels; Access control policy module: Develop and implement access control policies based on user roles and permission levels to limit user access to logistics data.
3. The enterprise intelligent logistics data management security system according to claim 1 is characterized by: The rights management module includes the following modules: Dynamic permission adjustment module: dynamically adjusts user access rights according to user roles and permission levels to ensure data security; Permission audit module: records user permission changes to facilitate tracing and analysis when security issues occur.
4. The enterprise intelligent logistics data management security system according to claim 1 is characterized by: The data backup module includes the following modules: Data backup strategy formulation module: formulate a reasonable data backup strategy based on the importance and access frequency of logistics data; Data backup execution module: According to the established backup strategy, logistics data is backed up regularly to ensure data integrity and consistency.
5. The enterprise intelligent logistics data management security system according to claim 1 is characterized by: The data recovery module includes the following modules: Data recovery strategy formulation module: formulate a reasonable data recovery strategy based on the importance and access frequency of logistics data; Data recovery execution module: When the data backup module detects data loss or damage, it will immediately start the data recovery module to restore the data according to the backup strategy to ensure data integrity and consistency.
6. The enterprise intelligent logistics data management security system according to claim 1 is characterized by: The data encryption module includes the following modules: Data encryption strategy formulation module: formulate reasonable data encryption strategies based on the importance and access frequency of logistics data; Data encryption execution module: encrypts logistics data to prevent data leakage and ensure data security.
7. The enterprise intelligent logistics data management security system according to claim 1 is characterized by: The security audit module includes the following modules: User access behavior recording module: records user access behavior to facilitate tracing and analysis when security issues occur; Security audit strategy formulation module: formulate reasonable security audit strategies based on the frequency and importance of user access behavior.
8. The enterprise intelligent logistics data management security system according to claim 1 is characterized by: The data monitoring module includes the following modules: Data change detection module: monitor changes in logistics data in real time and detect abnormal situations in a timely manner; Exception handling module: When an abnormal situation is detected, take corresponding measures, such as alarm and recording, to ensure the integrity and security of the data.
9. The enterprise intelligent logistics data management security system according to claim 1, characterized in that: The intelligent early warning module includes the following modules: Data change analysis module: conduct in-depth analysis of changes in logistics data and identify potential risks; Early warning strategy formulation module: formulate reasonable early warning strategies based on analysis results and issue early warnings; Early warning execution module: According to the early warning strategy, early warning information is sent to relevant personnel in a timely manner so that the company can take timely response measures.
10. The enterprise intelligent logistics data management security system according to claim 1, characterized in that: The vulnerability management module includes the following modules: Vulnerability scanning module: regularly scan the system for vulnerabilities to discover potential security vulnerabilities; Vulnerability repair module: When security vulnerabilities are discovered, they are repaired in a timely manner to prevent hacker attacks; System update module: Update the system regularly to ensure that the system is always up to date and improve system security.