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Stealing complex network attack detection method considering security situation awareness.

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Summary
This summary is machine-generated.

This study introduces a new method for monitoring stealthy complex network attacks, enhancing security situation awareness. The approach effectively detects invisible threats while optimizing resource usage for improved network security.

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Area of Science:

  • Cybersecurity and Network Defense
  • Information Security and Network Monitoring

Background:

  • Stealthy complex network attacks pose significant challenges to traditional network security.
  • Effective tracking and detection methods are crucial for maintaining network integrity and preventing data breaches.

Purpose of the Study:

  • To propose an advanced monitoring method for stealthy complex network attacks.
  • To enhance security situation awareness in complex network environments.
  • To optimize resource allocation for monitoring nodes.

Main Methods:

  • Development of a tracking model for invisible complex network attacks.
  • Selection of public monitoring nodes based on a cost-calculation algorithm.
  • Determination of optimal monitoring nodes to minimize resource occupancy and maximize accuracy.

Main Results:

  • The proposed method demonstrates stability across a network range of 1000 to 4000 nodes.
  • Effective monitoring of complex network attacks, including secret-stealing activities, was achieved.
  • Significant reduction in resource occupancy rate for monitoring nodes was observed.

Conclusions:

  • The developed monitoring method offers an effective solution for detecting stealthy complex network attacks.
  • The approach balances monitoring accuracy with efficient resource utilization.
  • This strategy contributes to improved overall network security and situation awareness.