CDACF Simulation: a stability-governed controller for cross-domain consensus selection (v4.0.0)
{ "title": "CDACF Simulation: a stability-governed controller for cross-domain consensus selection (v4.0.0)", "description": " Simulation code, seeds, analysis scripts and result files supporting the manuscript A Stability-Governed Controller for Cross-Domain Consensus Selection in Blockchain-Based Heterogeneous IoT Deployments (Discover Computing). This release accompanies the fourth-round revision. It adds seed-paired inference over 30 seeds, TOST equivalence testing, probabilistic global sensitivity over the mechanism attribute matrix and weight profiles, full detection confusion matrices, a Bayesian-versus-plain-threshold comparison, a 25,000-step battery run, a 13-configuration out-of-distribution sweep and a held-out third domain profile. Scope. Threat conditions are simulated as telemetry perturbation and node-population change, and the threat indicators are computed from the same telemetry. The results characterise controller response and establish nothing about protocol-level security. ", "upload_type": "software", "version": "4.0.0", "language": "eng", "license": "mit", "access_right": "open", "keywords": [ "blockchain", "consensus mechanisms", "Internet of Things", "switching governance", "Bayesian threat indicators", "simulation", "reproducibility" ], "creators": [ { "name": "Bhore, Smita", "affiliation": "Symbiosis Institute of Digital and Telecom Management, Symbiosis International (Deemed University), Pune, India" }, { "name": "Natraj, N. A.", "affiliation": "Symbiosis Institute of Digital and Telecom Management, Symbiosis International (Deemed University), Pune, India" } ]}