Identified Gaps and Mitigation Strategies for Post-Quantum Healthcare IoT Security

Hashim Hussain's 2026 study proposes a quantum-resilient security architecture for healthcare IoT systems. The dataset likely contains evaluation results, including F1-scores ranging from 0.972 to 1.000 across six intrusion detection datasets and latency measurements of 3.1–4.4 seconds for post-quantum handshakes. The 5.5 KB Excel file details gaps and mitigation strategies for securing resource-constrained medical devices.

Use Cases

• Benchmark intrusion detection performance based on F1-scores across six datasets mentioned in the description
• Evaluate post-quantum cryptography latency for non-real-time clinical traffic based on the 3.1–4.4 second handshake measurements
• Study the impact of SMOTE oversampling on model performance based on the reported 5–20% F1-score contribution
• Analyze adaptive zero-trust policy decisions (ALLOW, MONITOR, DENY, QUARANTINE) based on dynamic trust scores derived from ML classifiers

Strengths

• Performance metrics are quantified, with F1-scores ranging from 0.972 to 1.000 across datasets
• Latency impact is measured, reporting 3.1–4.4 seconds for the full post-quantum handshake
• Methodology details are provided, including the use of three ML classifiers and six diverse intrusion detection datasets

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is very small (5.5 KB), indicating limited scope, likely containing summary results rather than raw data

Provenance

Source

Hashim Hussain via figshare

Collection Method

Likely contains synthesized results from evaluating a proposed security architecture (PQ-CZTA) on six intrusion detection datasets.

Time Range

2026

Freshness

Last updated 2026-05-28 17:42:31; freshness should be verified

Geography

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