Comprehensive Security Assessment: Prototype Testbed Results for a Quantum-Safe IBN System

Experimental results from 2026 evaluate a prototype Intent-Based Networking security system integrating post-quantum cryptography and machine learning. The dataset, authored by Kumar Sekhar Roy and shared under CC-BY-4.0, likely contains performance metrics from a controlled testbed assessing cryptographic correctness, access control, and anomaly detection. It is a small dataset of 5.5 KB, suggesting limited scope.

Use Cases

• Benchmarking post-quantum signature performance based on reported 100% success rate in generation and verification.
• Evaluating anomaly detection models based on the use of Isolation Forest and MiniBatch KMeans for spotting device behavior anomalies.
• Analyzing access control performance based on the integration of Role-Based Access Control (RBAC) and Multi-Factor Authentication (MFA).
• Assessing system scalability based on the evaluation of log-processing throughput under increasing workloads.

Strengths

• Includes empirical results from a controlled prototype testbed with reproducible experimental settings.
• Reports 100% success in post-quantum signature operations and no observed false negatives in anomaly detection for evaluated scenarios.
• Explicitly documents key trade-offs and limitations such as certificate expiry handling gaps and conservative policy behavior.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB file size indicates a very small dataset, likely summarizing results rather than containing raw experiment logs.

Provenance

Source

Kumar Sekhar Roy via figshare.

Collection Method

Systematic evaluation of a prototype Intent-Based Networking security framework.

Freshness

Last updated 2026-05-15 17:37:01; freshness should be verified.