A Topological Sensitive Node Importance Evaluation Method in Aerospace Information Networks.

Area of Science:

• Information Science
• Network Engineering
• Computer Science

Background:

• Increasing demands on communication technology and network applications necessitate robust anti-destruction capabilities for information networks.
• Satellite networks are crucial for modern communication, making their survivability a key research area.
• Existing metrics for network invulnerability may not fully capture complex topological changes.

Purpose of the Study:

• To propose an efficient and accurate metric for evaluating the invulnerability and survivability of spatial information networks, specifically satellite networks.
• To develop a novel algorithm based on transfer matrix principles for assessing network resilience.
• To compare the proposed algorithm's performance against existing methods.

Main Methods:

• A transfer matrix-based algorithm was developed, incorporating a node deletion method to ascertain initial node importance.
• A formula for the importance transfer probability between nodes was established.
• Network structure entropy theory was utilized to create an evaluation algorithm for spatial information network invulnerability.

Main Results:

• Simulations demonstrated that the transfer matrix-based algorithm provides a more accurate evaluation of node importance compared to degree centrality and natural connectivity methods.
• The proposed evaluation index effectively reflects changes in network topology.
• The algorithm successfully assesses the overall survivability of spatial information networks.

Conclusions:

• The developed transfer matrix-based algorithm offers a superior method for evaluating the invulnerability of spatial information networks.
• The proposed index is a valuable tool for understanding and enhancing the resilience of satellite communication systems.
• This research contributes to the development of more robust and secure information networks.