Resilience Engineering Principles for Digital Public Infrastructure Stability

Authors

  • Dileep Kumar Reddy Lankala

Keywords:

Digital Public Infrastructure, Resilience Engineering, Systemic Stability, Cascading Failures, Dependency Decoupling

Abstract

Digital public infrastructure (DPI) provides the operational backbone of national-scale systems spanning payments, identity authentication, healthcare delivery, taxation, and civic services. What distinguishes DPI from enterprise platforms is not simply scale; it is the presence of multiple, deeply entangled stakeholder layers and socio-technical interdependencies that conventional reliability engineering was never designed to handle. The mainstream fault-tolerance literature does not adequately address the particular challenge of correlated disruption regimes, where a failure in one component systematically stresses components elsewhere.

The present work develops a quantitative resilience engineering framework that treats DPI stability as bounded degradation under precisely these correlated systemic stress conditions. Four metrics form the analytical core: dependency-layer decoupling measures based on spectral radius analysis of service adjacency matrices; correlation exposure coefficients that capture aggregate pairwise disruption coupling; probabilistic degradation envelope models expressed as performance bounds; and adaptive governance damping coefficients that govern feedback stabilization in the policy control layer. A cascade stability condition emerges from this analysis: a DPI dependency network is cascade-stable if and only if λmax(A) < 1, where A is the service dependency adjacency matrix. Monte Carlo simulations done across disruption correlation regimes ρ ∈ [0, 0.8] and feedback amplification factors α ∈ [1.0, 1.5] show that resilience-enhanced architectures keep worst-case service degradation more than 40% below redundancy-based baselines, reduce peak degradation amplitude by 30–45% through governance damping alone, and shorten recovery time by 35%. The implication is that structural isolation, dependency decoupling, degradation bounding, and adaptive governance damping together provide stability margins that no redundancy-focused architecture can replicate under correlated failure regimes.

DOI: https://doi.org/10.17762/ijisae.v14i1s.8239

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Published

07.05.2026

How to Cite

Dileep Kumar Reddy Lankala. (2026). Resilience Engineering Principles for Digital Public Infrastructure Stability. International Journal of Intelligent Systems and Applications in Engineering, 14(1s), 730–743. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8239

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Section

Research Article