Evolving Symmorphogenic Network Defenses: A Bio-Inspired Framework for Adaptive Cybersecurity Author Name(s): George White Affiliation(s): PolyLM

Abstract

Purpose: This paper proposes a novel network defense hypothesis inspired by the evolutionary biology concept of symmorphosis, which describes how organisms evolve coordinated traits despite differing selective pressures. Patients and methods: The hypothesis was developed through structured analogical reasoning between evolutionary biology (symmorphosis) and network security. A quantitative model was formulated to predict defense effectiveness based on network traffic, attacker behavior, and defensive coordination. Results: The analysis yields the Evolving Symmorphogenic Network Defenses (ESND) framework, where security components adapt collectively to create a dynamic, deceptive defense posture. A mathematical model predicts attack success rates, and a clear falsification criterion is established. Conclusion: ESND represents a paradigm shift from static signature-based defense to coordinated adaptive security, potentially offering superior protection against evolving cyber threats.