The framework for simulation of bioinspired security mechanisms against network infrastructure attacks.

Area of Science:

• Computer Science
• Cybersecurity
• Bioinspired Computing

Background:

• Traditional network security often relies on centralized defenses.
• Distributed systems offer potential for enhanced resilience.
• Biological systems provide models for robust, adaptive defense.

Purpose of the Study:

• To introduce a bioinspired
• network nervous system
• approach for computer network security.
• To develop and simulate infrastructure attack and protection mechanisms based on this bioinspired model.
• To evaluate the effectiveness of the proposed distributed protection mechanisms.

Main Methods:

• A bioinspired approach termed
• network nervous system
• is conceptualized.
• Attacks and protection mechanisms are modeled using a set-theoretic approach.
• A simulation environment based on biological metaphors is utilized to test protection strategies.

Main Results:

• The study demonstrates the feasibility of simulating network attacks and defenses using the proposed bioinspired framework.
• Experiments show that the distributed protection mechanisms effectively identify attacks and determine countermeasures.
• The bioinspired approach proves effective in enhancing network resilience against infrastructure attacks.

Conclusions:

• The
• network nervous system
• concept offers a novel, bioinspired paradigm for robust computer network security.
• Distributed information processing and coordination are key to effective, adaptive defense mechanisms.
• Simulation-based validation confirms the potential of this approach for real-world cybersecurity applications.