Fungal systems for security and resilience

Modern security, infrastructure, and safety-critical systems increasingly operate in environments characterised by disruption, uncertainty, physical damage, and degraded communications. Conventional digital technologies – centralised sensors, software-defined control, and energy-intensive monitoring – often struggle under such conditions. We propose fungi, and in particular living mycelial networks, as a novel class of biohybride systems for security, resilience, and protection in extreme environments. We discuss how fungi can function as distributed sensing substrates, self-healing materials, and low-observability anomaly-detection layers. We map fungal properties – such as decentralised control, embodied memory, and autonomous repair – to applications in infrastructure protection, environmental monitoring, tamper evidence, and long-duration resilience.

💡 Research Summary

The paper proposes a novel class of bio‑hybrid systems that exploit living fungal mycelial networks for security, resilience, and protection in extreme or degraded environments. Modern critical infrastructure—transport, energy, environmental monitoring, and safety‑critical facilities—must continue to operate under conditions of partial failure, limited maintenance, disrupted communications, and sustained physical stress. Conventional digital technologies, which rely on centralized sensors, software‑defined control, and energy‑intensive monitoring, often falter under such constraints.

Fungal mycelium offers a fundamentally different paradigm. It consists of an interconnected web of microscopic hyphae that grow, branch, fuse (anastomosis), and retract autonomously. This decentralized architecture lacks a single control node; global organization emerges from local growth rules and physiological feedback. Consequently, the network is inherently robust to localized damage: when a region is cut or compromised, flows of cytoplasm, nutrients, and electrical activity are rerouted through existing parallel pathways or newly formed branches. Redundancy, adaptability, and self‑repair are built into the topology, mirroring principles of resilience engineering that prioritize graceful degradation and reconfiguration over static optimization.

Electrophysiologically, fungi generate millivolt‑scale extracellular potential fluctuations, spike‑like events, and slow oscillations. These signals are triggered by mechanical disturbance, chemical exposure, temperature, humidity, and injury. Mechanical perturbations such as compression, bending, or cutting produce bursts of electrical activity that propagate across the mycelial mesh, with amplitude and temporal pattern reflecting both stimulus magnitude and the network’s prior physiological state. Chemical gradients bias the direction of propagating waves, linking electrophysiology to resource acquisition and growth decisions. The electrical dynamics operate on multiple timescales: rapid spikes encode immediate perturbations, while slower oscillations synchronize activity over larger regions, providing a hierarchical signal space capable of representing both transient events and long‑term trends.

Because electrical signaling is distributed throughout the living substrate, it does not require active emission into the environment, granting fungi a low‑observability (stealth) characteristic. External interfaces—passive electrodes or optical probes—can be intermittent and minimally invasive, reducing power consumption and susceptibility to jamming or spoofing. Moreover, the analogue nature of the signals offers continuous, integrated representations of system state, enabling early detection of subtle anomalies such as gradual structural fatigue, environmental degradation, or sustained disturbances that precede catastrophic failure.

Fungal mycelium also exhibits proto‑cognitive behaviors: habituation to repeated stimuli, sensitisation to novel threats, and temporal pattern sensitivity. These behaviors constitute an embodied memory that adjusts baseline responses without explicit training or symbolic representations, allowing long‑term adaptation in data‑scarce or label‑free environments.

From a materials perspective, mycelium‑based composites possess favorable strength‑to‑weight ratios, intrinsic self‑healing, damping, and biodegradability. They can be grown into predefined shapes, remain metabolically active for extended periods, and respond to damage by altering mechanical and electrical properties. Embedding living mycelium directly into walls, structural components, or packaging creates a self‑monitoring, self‑repairing material that continues to sense and adapt without external power sources.

The authors argue that prior research has treated fungi either as unconventional computing substrates or as sustainable construction materials, but security and resilience applications demand a unified view that leverages both aspects. They outline a research roadmap: (1) develop quantitative models and real‑time decoding algorithms for fungal electrical activity; (2) design low‑power, biocompatible interfaces for signal acquisition and actuation; (3) establish standards for mycelium‑based structural design, large‑scale cultivation, and lifecycle management; (4) integrate fungal layers with existing cyber‑physical systems to provide orthogonal protection—adding a biological “defense‑in‑depth” that is energy‑light, tamper‑evident, and capable of autonomous repair.

Potential application domains include infrastructure protection (bridges, tunnels, power grids), environmental monitoring (pollutant detection, climate change indicators), tamper evidence (detecting unauthorized modifications), and long‑duration missions (space habitats, deep‑sea installations) where maintenance access is limited. By combining material function, distributed sensing, embodied memory, and self‑healing within a single living substrate, fungal mycelial systems could complement, rather than replace, digital technologies, offering a resilient, low‑observable, and self‑sustaining layer of security for the most demanding operational contexts.