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Research on network security situation awareness technology for real-time monitoring

Jun 11, 2023 pm 02:27 PM
cyber security real time monitoring situational awareness

With the widespread application and popularity of the Internet, network security issues are becoming more and more important. In response to the continuous emergence and evolution of network attacks, research in the field of network security has always been a hot topic. In order to better protect network security, network security situational awareness technology for real-time monitoring emerged as the times require.

1. Network Security Situation Awareness Technology

Network security situation awareness technology is a technical method proposed in response to the current development trend of network security. Its basic idea is to monitor the situation inside and outside the network. Information collection and analysis enables real-time monitoring of network security status, and provides network security threat early warning, situation analysis, fault diagnosis and other functions through the processing of monitoring data.

Network security situation awareness technology mainly includes the following aspects:

  1. Resource awareness: through network monitoring, equipment monitoring, activity monitoring and other means, perceive the usage of network resources and network Topology.
  2. Security perception: Real-time perception and analysis of network security status through security event monitoring, attack detection and other means.
  3. Status analysis: Through data analysis and mining, the network security situation is analyzed and evaluated to provide a basis for network security decision-making.
  4. Risk assessment: Evaluate and analyze network security threats through the risk assessment model in order to determine network security measures and response strategies.

2. The necessity of real-time monitoring

Network security situational awareness technology for real-time monitoring has high application value and practical significance. On the one hand, network security threats are constantly changing, and attack methods are emerging in an endless stream. If they cannot be monitored and identified in time, serious consequences will occur; on the other hand, network security is highly concealed, and traces are eliminated quickly. If real-time monitoring and early warning cannot be performed, It's difficult to deal with it effectively.

The benefits of real-time monitoring are also:

  1. Improve the level of security: Through real-time monitoring and early warning, network threats can be discovered in time and effective measures can be taken, thereby improving the level of network security. .
  2. Reduce losses and risks: Maintain stable network operation through real-time monitoring and feedback, and reduce losses and risks such as damage and data leakage.
  3. Strengthen network management: Through real-time monitoring and analysis, network bottlenecks can be regularly discovered to avoid real network problems.

3. Technology Research

Research on network security situational awareness technology for real-time monitoring has become a hot field. In response to unique problems in the field of network security, researchers have been working hard to explore and develop advanced technical means and solutions. At present, the main research directions include the following aspects:

  1. Big data analysis technology: In view of the large amount of network data and the rapid changes, big data analysis technology has become the main method to deal with network security threats. One of the means. Big data analysis technology can extract relevant features and models through the analysis and mining of massive data, and form a closed-loop feedback mechanism through real-time monitoring and feedback to promptly discover and deal with network security threats.
  2. Deep learning technology: Deep learning technology is one of the most popular computer technologies at present. It uses computing models such as neural networks to train and learn from large amounts of data to achieve independent analysis and identification. Through deep learning technology, various types of attacks in the field of network security can be effectively dealt with, and it has certain application potential.
  3. Cloud security technology: At present, cloud computing technology has been widely used, so cloud security technology has also become a hot field. Cloud security technology can better protect users' network security by monitoring and protecting the cloud computing environment.

4. Conclusion

Network security situational awareness technology for real-time monitoring has always been one of the key technologies in the field of network security and plays a very important role in ensuring the security and stability of network operations. . In response to the development trend of network attacks, researchers should continue to conduct technical research and innovation in order to better deal with complex network security threats. I believe that in the future, this field will achieve more significant results and make more important contributions to society's network security cause.

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