دانلود گزارش IEEE DataPort : ncpa artifact - 2025

PY نویسندگان: Feliciano Domingos
جزئیات
فرمت: PY ناشر: IEEE DataPort تاریخ انتشار نسخه الکترونیکی : 12/26/2025
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شابک: 10.21227/step-qv18
توضیحات
Abstract — Synthetic Dataset for Non-Colliding Path Authorisation EvaluationWe present a synthetic dataset designed to evaluate the correctness and robustness of Non-Colliding Path Authorisation (NCPA) protocols under concurrent and adversarial execution conditions. The dataset consists of labelled authorisation execution traces, where each trace represents a sequence of authorisation attempts parameterised by a path identifier, epoch, step index, and node identifier. Both benign and adversarial behaviours are included, covering replay attempts, step skipping, wrong-node injection, parallel reuse, and epoch confusion. Each event is annotated with an oracle validity label, enabling deterministic validation of protocol behaviour. The dataset is generated programmatically with configurable scale and attack ratios, ensuring reproducibility and extensibility. It is intended to support empirical evaluation, regression testing, and artifact-based validation of path-based authorisation mechanisms in distributed and IoT systems.
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