Full-domain traffic collection and auditing system and method based on deep packet inspection

Abstract

The invention relates to the technical field of network communication, and discloses a global traffic collection and auditing system and method based on deep packet inspection, and the system comprises a traffic collection module, a deep packet inspection module, a traffic storage module, an auditing analysis module, a visual display module, a strategy management module, and a log recording module. The traffic acquisition module comprises a high-performance acquisition engine, and the traffic acquisition module, a deep packet detection module, a traffic storage module, an audit analysis module, a visual display module, a strategy management module and a log recording module are integrated, so that real-time acquisition, deep analysis and audit of global network traffic can be realized; the traffic monitoring and auditing method meets the traffic monitoring requirements in a large-scale network environment, has the advantages of high concurrent processing capability, deep traffic analysis, flexible auditing rules, efficient data storage and retrieval and visual display, and is suitable for traffic monitoring and auditing application in various network environments.

Description

Technical Field

[0001] The present invention relates to the field of network communication technology, and in particular to a global traffic collection and auditing system and method based on deep packet inspection. Background Art

[0002] With the continuous expansion of networks and the increasing complexity of network applications, monitoring and auditing network traffic has become increasingly important. Traditional traffic collection and auditing methods are typically based on ports, protocols, or simple traffic statistics, and are unable to conduct in-depth analysis and identification of network traffic. Deep packet inspection (DPI) technology, by deeply analyzing the content of network packets, can identify specific traffic application types, user behavior, and other information. Therefore, it has important application value in network traffic monitoring and auditing.

[0003] However, existing DPI technologies are usually limited to traffic collection and analysis in local networks, making it difficult to achieve real-time collection and auditing of global traffic. Global traffic collection and auditing systems have technical difficulties such as high concurrency, large data volumes, and high real-time requirements.

[0004] To this end, we propose a global traffic collection and auditing system and method based on deep packet inspection. Summary of the Invention

[0005] The present invention mainly solves the technical problems existing in the above-mentioned prior art and provides a global traffic collection and auditing system and method based on deep packet inspection.

[0006] In order to achieve the above-mentioned objectives, the present invention adopts the following technical solutions: a global traffic collection and auditing system based on deep packet inspection, including a traffic collection module, a deep packet inspection module, a traffic storage module, an audit analysis module, a visualization module, a policy management module and a log recording module. The traffic collection module is deployed at the key nodes of the network and is responsible for collecting global network traffic in real time. The traffic collection module supports multiple network protocols and can decrypt encrypted traffic. The traffic collection module includes a high-performance collection engine to ensure the real-time and integrity of data collection.

[0007] Preferably, the deep packet inspection module performs in-depth analysis on the collected network traffic to identify the application type, user behavior and content characteristics of the traffic. The deep packet inspection module adopts a multi-level detection algorithm, including protocol identification, behavior analysis and content matching. The deep packet inspection module includes a high-performance detection engine to ensure the accuracy and efficiency of detection.

[0008] Preferably, the traffic storage module stores the collected and parsed traffic data in a distributed database to support efficient data retrieval and analysis. The traffic storage module includes a high-performance storage engine and a data compression algorithm to reduce storage space occupancy and increase data access speed.

[0009] Preferably, the audit analysis module performs audit analysis on the stored traffic data to generate traffic statistics reports, abnormal behavior alarms and security event analysis. The audit analysis module supports custom audit rules and real-time alarm functions. The audit analysis module includes an intelligent analysis engine and a machine learning algorithm, which can automatically identify and learn the normal behavior patterns of network traffic, thereby improving the accuracy and efficiency of anomaly detection.

[0010] Preferably, the visual display module displays the audit analysis results to the user in the form of charts and reports, supports real-time monitoring and historical data query, and includes data visualization tools and interactive interfaces, enabling users to intuitively understand and analyze network traffic data.

[0011] Preferably, the policy management module automatically or manually adjusts the network security policy based on the audit analysis results to achieve refined management of network traffic. The policy management module includes a policy configuration engine and a policy execution interface to ensure that the policy can take effect in a timely manner and adapt to different network environments.

[0012] Preferably, the log recording module records the log information of the system operation, including key operations such as traffic collection, deep packet inspection, audit analysis and policy adjustment. The log recording module supports hierarchical management and long-term preservation of logs, which facilitates subsequent troubleshooting and compliance audits. The log recording module includes a log collection engine and a log analysis tool, which can automatically collect and analyze system operation logs, and timely discover and warn of potential system problems.

[0013] A global traffic collection and auditing method based on deep packet inspection, including the global traffic collection and auditing system based on deep packet inspection, specifically includes the following steps:

[0014] Step 1: Traffic Collection: Deploy traffic collection equipment at key network nodes to collect global network traffic in real time. The collection equipment supports high-concurrency processing and can cope with traffic pressure in large-scale network environments.

[0015] Step 2: Deep Packet Inspection: Deep packet inspection is performed on the collected traffic to identify information such as application type, user behavior, and content characteristics. Multi-level detection algorithms are used during the inspection process to ensure accuracy and comprehensiveness of identification.

[0016] Step 3: Traffic storage: The parsed traffic data is stored in a distributed database to ensure efficient data storage and retrieval. The storage module supports data compression and encryption to ensure data security and integrity.

[0017] Step 4: Audit Analysis: Perform audit analysis on stored traffic data to generate traffic statistics reports, abnormal behavior alerts, and security event analysis. The audit analysis module supports custom audit rules and can be flexibly configured according to user needs.

[0018] Step 5: Visualization: The audit analysis results are presented to users through a visual interface, supporting real-time monitoring and historical data query. Users can intuitively understand the status and security of network traffic through charts and reports.

[0019] Step 6: Policy Management: Automatically adjust and optimize network security policies based on analysis results. The policy management module supports real-time policy implementation and dynamic adjustment, enabling flexible responses to changes in the network environment and user needs.

[0020] Step 7: Log Recording: Record key information and operation logs during the entire process of traffic collection, detection, storage, analysis and display. The log recording module supports real-time collection, storage and analysis of logs, providing strong support for the tracing and auditing of network security incidents.

[0021] The present invention provides a global traffic collection and auditing system and method based on deep packet inspection.

[0022] It has the following beneficial effects:

[0023] 1. This global traffic collection and auditing system and method based on deep packet inspection integrates a traffic collection module, a deep packet inspection module, a traffic storage module, an audit analysis module, a visualization display module, a policy management module and a log recording module. It can realize real-time collection, in-depth analysis and auditing of global network traffic, meet the traffic monitoring needs in large-scale network environments, and has the advantages of high concurrent processing capability, in-depth traffic analysis, flexible audit rules, efficient data storage and retrieval, and intuitive visualization display. It is suitable for traffic monitoring and auditing applications in various network environments.

[0024] 2. This global traffic collection and auditing system and method based on deep packet inspection, by setting up an audit analysis module, can perform comprehensive audit analysis on the stored traffic data, not only generate detailed traffic statistics reports, but also detect abnormal behavior and issue alarms in a timely manner, and conduct in-depth security incident analysis. The high flexibility of this module allows users to customize audit rules according to actual needs, thereby greatly improving the practicality and adaptability of the system.

[0025] 3. This global traffic collection and auditing system and method based on deep packet inspection can present complex audit analysis results to users in an intuitive and easy-to-understand form by setting up a visual display module. Whether it is real-time monitoring or historical data query, users can quickly obtain the required information in the form of charts and reports, which is of great significance to improving the efficiency and accuracy of network security management.

[0026] 4. This global traffic collection and auditing system and method based on deep packet inspection, by setting up a policy management module, can automatically or manually adjust network security policies according to the audit analysis results, and realize refined management of network traffic. This refined management not only improves the security of the network, but also can optimize network performance according to actual needs, ensuring the efficient operation of network traffic.

[0027] 5. This global traffic collection and auditing system and method based on deep packet inspection, by setting up a log recording module, can comprehensively record key information and operation logs of system operation, providing detailed data support for subsequent troubleshooting, compliance audits and tracing of network security incidents. The efficient operation of the log recording module ensures the transparency and traceability of system operation, and further enhances the security and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a system architecture diagram of the present invention;

[0029] Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0030] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are merely illustrative, and those skilled in the art can, without inventive effort, derive other implementation drawings based on the provided drawings.

[0031] The structures, proportions, sizes, etc. illustrated in this specification are intended only to complement the contents disclosed herein and to facilitate understanding and reading by persons familiar with the art. They are not intended to limit the conditions under which the present invention may be implemented and therefore have no substantive technical significance. Any structural modifications, changes in proportions, or adjustments in sizes, without affecting the efficacy and objectives of the present invention, shall still fall within the scope of the technical contents disclosed herein.

[0032] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0033] In describing the implementation progress of the present invention, it should be noted that the terms "center," "upper," "lower," "inner," "outer," and "side" and the like indicate positions or locations based on the positions shown in the accompanying drawings, or the positions or locations in which the inventive product is typically placed when in use. These terms are intended solely to facilitate and simplify the description of the present invention and are not intended to indicate or imply that the device or component referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and the like are used solely for distinction and should not be construed as indicating or implying relative importance.

[0034] In describing the implementation of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood broadly. For example, they may refer to fixed, removable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediary; and internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in the implementation of the present invention.

[0035] The following will provide a clear and complete description of the technical solutions in the implementation progress of the present invention, in conjunction with the accompanying drawings. Obviously, the implementation progress described is only a portion of the implementation progress of the present invention, not the entire implementation progress. All other implementation progress obtained by persons of ordinary skill in the art based on the implementation progress of the present invention without inventive effort shall fall within the scope of protection of the present invention.

[0036] Implementation progress 1: A global traffic collection and auditing system based on deep packet inspection, such as Figure 1As shown, it includes a traffic collection module, a deep packet inspection module, a traffic storage module, an audit analysis module, a visualization module, a policy management module, and a logging module. The traffic collection module is deployed at key nodes in the network and is responsible for real-time collection of global network traffic. The traffic collection module supports multiple network protocols and can decrypt encrypted traffic. The traffic collection module includes a high-performance collection engine to ensure the real-time and integrity of data collection. By integrating the traffic collection module, deep packet inspection module, traffic storage module, audit analysis module, visualization module, policy management module, and logging module, it can achieve real-time collection, in-depth analysis, and auditing of global network traffic, meeting the traffic monitoring needs in large-scale network environments. It has the advantages of high concurrent processing capabilities, in-depth traffic analysis, flexible audit rules, efficient data storage and retrieval, and intuitive visualization, and is suitable for traffic monitoring and auditing applications in various network environments.

[0037] Implementation progress 2: Based on the implementation progress 1, if Figure 1 As shown, the deep packet inspection module performs in-depth analysis of the collected network traffic to identify the application type, user behavior, and content characteristics of the traffic. The deep packet inspection module uses a multi-level detection algorithm, including protocol identification, behavior analysis, and content matching. The deep packet inspection module includes a high-performance detection engine to ensure the accuracy and efficiency of detection. The traffic storage module stores the collected and parsed traffic data in a distributed database, supporting efficient data retrieval and analysis. The traffic storage module includes a high-performance storage engine and data compression algorithm to reduce storage space usage and improve data access speed. By setting up an audit analysis module, a comprehensive audit analysis of the stored traffic data can be performed, not only generating detailed traffic statistics reports, but also timely detecting abnormal behavior and issuing alarms, while conducting in-depth security event analysis. The high flexibility of this module allows users to customize audit rules according to actual needs, thereby greatly improving the practicality and adaptability of the system.

[0038] Implementation progress three: Based on implementation progress one and two, if Figure 1As shown, the audit analysis module performs audit analysis on stored traffic data, generating traffic statistics reports, abnormal behavior alerts, and security event analysis. The audit analysis module supports custom audit rules and real-time alert functions. The audit analysis module includes an intelligent analysis engine and machine learning algorithms that can automatically identify and learn normal behavior patterns of network traffic, thereby improving the accuracy and efficiency of anomaly detection. The visualization display module presents the audit analysis results to users in the form of charts and reports, supporting real-time monitoring and historical data queries. The visualization display module includes data visualization tools and an interactive interface, allowing users to intuitively understand and analyze network traffic data. By setting up a visualization display module, complex audit analysis results can be presented to users in an intuitive and easy-to-understand format. Whether it is real-time monitoring or historical data query, users can quickly obtain the required information through charts and reports, which is of great significance for improving the efficiency and accuracy of network security management.

[0039] Implementation Progress 4: Based on Implementation Progress 1, Implementation Progress 2 and Implementation Progress 3, if Figure 1 As shown, the policy management module automatically or manually adjusts the network security policy based on the audit analysis results to achieve refined management of network traffic. The policy management module includes a policy configuration engine and a policy execution interface to ensure that the policy can take effect in a timely manner and adapt to different network environments. The logging module records the log information of the system operation, including key operations such as traffic collection, deep packet inspection, audit analysis, and policy adjustment. The logging module supports hierarchical management and long-term storage of logs to facilitate subsequent troubleshooting and compliance audits. The logging module includes a log collection engine and a log analysis tool, which can automatically collect and analyze system operation logs to promptly discover and warn of potential system problems. By setting up a policy management module, network security policies can be automatically or manually adjusted based on the audit analysis results to achieve refined management of network traffic. This refined management not only improves the security of the network, but also optimizes network performance according to actual needs to ensure the efficient operation of network traffic.

[0040] Implementation Progress 5: Based on Implementation Progress 1, Implementation Progress 2, Implementation Progress 3 and Implementation Progress 4, Figure 2 As shown, a global traffic collection and auditing method based on deep packet inspection includes the global traffic collection and auditing system based on deep packet inspection, which specifically includes the following steps: Step 1: Traffic collection: Deploy traffic collection devices at key nodes of the network to collect global network traffic in real time. The collection devices support high-concurrency processing and can cope with traffic pressure in large-scale network environments;

[0041] Step 2: Deep Packet Inspection: Perform deep packet inspection on the collected traffic to identify the application type, user behavior, content characteristics and other information of the traffic. A multi-level detection algorithm is used in the detection process to ensure the accuracy and comprehensiveness of the identification. Step 3: Traffic Storage: Store the parsed traffic data in a distributed database to ensure efficient storage and retrieval of data. The storage module supports data compression and encryption to ensure the security and integrity of the data. Step 4: Audit Analysis: Perform audit analysis on the stored traffic data to generate traffic statistics reports, abnormal behavior alarms and security event analysis. The audit analysis module supports custom audit rules and can be flexibly configured according to user needs. Step 5: Visualization Visualization: The audit analysis results are presented to users through a visual interface, supporting real-time monitoring and historical data query. Users can intuitively understand the status and security of network traffic through charts and reports. Step 6: Policy Management: Based on the analysis results, network security policies are automatically adjusted and optimized. The policy management module supports real-time policy implementation and dynamic adjustment, and can flexibly respond to changes in the network environment and user needs. Step 7: Logging: Key information and operation logs are recorded throughout the entire process of traffic collection, detection, storage, analysis, and presentation. The logging module supports real-time log collection, storage, and analysis, providing strong support for the tracing and auditing of network security incidents. By setting up the logging module, key information and operation logs of system operation can be comprehensively recorded, providing detailed data support for subsequent troubleshooting, compliance audits, and the tracing of network security incidents. The efficient operation of the logging module ensures the transparency and traceability of system operation, further enhancing the security and reliability of the system.

[0042] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above implementation schedule. The above implementation schedule and description are merely illustrative of the principles of the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A global traffic collection and auditing system based on deep packet inspection, characterized by: It includes traffic collection module, deep packet inspection module, traffic storage module, audit analysis module, visualization display module, policy management module and log recording module. The traffic collection module includes a high-performance collection engine.

2. The global traffic collection and auditing system based on deep packet inspection according to claim 1 is characterized by: The deep packet inspection module includes a high-performance inspection engine.

3. The global traffic collection and auditing system based on deep packet inspection according to claim 1 is characterized in that: The traffic storage module includes a high-performance storage engine and a data compression algorithm.

4. The global traffic collection and auditing system based on deep packet inspection according to claim 1 is characterized in that: The audit analysis module includes an intelligent analysis engine and a machine learning algorithm.

5. The global traffic collection and auditing system based on deep packet inspection according to claim 1 is characterized in that: The visualization display module includes a data visualization tool and an interactive interface.

6. The global traffic collection and auditing system based on deep packet inspection according to claim 1 is characterized in that: The policy management module includes a policy configuration engine and a policy execution interface.

7. The global traffic collection and auditing system based on deep packet inspection according to claim 1 is characterized in that: The log recording module includes a log collection engine and a log analysis tool.

8. A global traffic collection and auditing method based on deep packet inspection, characterized in that: The global traffic collection and auditing system based on deep packet inspection according to any one of claims 1 to 7 specifically comprises the following steps: Step 1: Traffic Collection: Deploy traffic collection equipment at key network nodes to collect global network traffic in real time. The collection equipment supports high-concurrency processing and can cope with traffic pressure in large-scale network environments. Step 2: Deep Packet Inspection: Deep packet inspection is performed on the collected traffic to identify information such as application type, user behavior, and content characteristics. Multi-level detection algorithms are used during the inspection process to ensure accuracy and comprehensiveness of identification. Step 3: Traffic storage: The parsed traffic data is stored in a distributed database to ensure efficient data storage and retrieval. The storage module supports data compression and encryption to ensure data security and integrity. Step 4: Audit Analysis: Perform audit analysis on stored traffic data to generate traffic statistics reports, abnormal behavior alerts, and security event analysis. The audit analysis module supports custom audit rules and can be flexibly configured according to user needs. Step 5: Visualization: The audit analysis results are presented to users through a visual interface, supporting real-time monitoring and historical data query. Users can intuitively understand the status and security of network traffic through charts and reports. Step 6: Policy Management: Automatically adjust and optimize network security policies based on analysis results. The policy management module supports real-time policy implementation and dynamic adjustment, enabling flexible responses to changes in the network environment and user needs. Step 7: Log Recording: Record key information and operation logs during the entire process of traffic collection, detection, storage, analysis and display. The log recording module supports real-time collection, storage and analysis of logs, providing strong support for the tracing and auditing of network security incidents.

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