A Framework for Blockchain Resilience Analysis with Composite Metric Scoring and Adaptive Consensus Reconfiguration

Blockchain networks now underpin mission-critical services in finance, healthcare, supply-chain logistics, and digital governance, yet production deployments continue to suffer severe resilience failures ranging from Byzantine consensus violations to cross-chain bridge exploits that have collectively caused losses exceeding $2 billion. The root cause is a critical tooling gap: ex- isting frameworks such as BlockBench and Hyperledger Caliper evaluate only crash-fault performance and provide neither ad- versarial fault modelling nor automated remediation guidance, leaving operators without a rigorous means of holistic resilience assessment prior to deployment.This paper presents the Blockchain Resilience Analysis System (BRAS), a five-layer, platform-agnostic framework that unifies real-time network topology monitoring, multi-class adversarial fault injection, composite resilience scoring, closed-loop adaptive consensus reconfiguration, and structured reporting within a single repeatable pipeline. BRAS introduces the Resilience Index (RI), a mathematically grounded composite metric that aggre- gates four sub-dimensions—network connectivity, throughput stability, mean-time-to-recovery (MTTR), and Byzantine fault tolerance ratio—into a single interpretable score calibrated to operator-defined service-level objectives. An Adaptive Reconfigu- ration Module (ARM) monitors the RI stream and autonomously adjusts consensus timeout parameters and peer-connection poli- cies when the RI drops below a configurable threshold, closing the feedback loop between fault detection and remediation without manual intervention.Experimental evaluation on a 20-node Hyperledger Fabric testnet and a 15-node Ethereum Proof-of-Authority network demonstrates that BRAS achieves a 34% reduction in MTTR under simulated eclipse attacks and reduces false-positive fault detections by 28% relative to threshold-only monitoring base- lines. The RI metric exhibits strong correlation (r = 0.91, p < 0.001) with independently measured system availability across 50 fault campaigns, validating its predictive utility. BRAS is the first framework to simultaneously address network-layer, consensus-layer, and application-layer resilience threats under a unified, vendor-agnostic architecture, offering both a rigor- ous theoretical foundation and a deployable implementation blueprint for blockchain resilience engineering.