Evidence map›Paper›PMID 42884189›Full record

ArticleSensors (Basel, Switzerland)2026

Resilient Control Under Side-Channel Compromise for IoMT Devices.

Mordecai Opoku Ohemeng, Frederick T Sheldon

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mordecai Opoku OhemengDepartment of Computer Science, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0001-8246-9221
Frederick T SheldonDepartment of Computer Science, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0003-1241-2750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As Internet of Medical Things (IoMT) ecosystems expand, life-critical devices become increasingly vulnerable to microarchitectural leakage attacks that enable adversaries to evade conventional digital authentication mechanisms. Exploiting timing and cache leakage allows adversaries to extract credentials and issue cryptographically valid commands with physiologically unsafe parameters, a systemic weakness we define as the verified attacker problem. This work introduces a dual-layer physiological and side-channel defense architecture that maintains patient safety even under credential compromise. At the perception layer, single-lead 1D electrocardiogram (ECG) telemetry is restored using a 1D Denoising Autoencoder (1D-DAE) to counteract hardware perturbation proxies: actuation jitter, cache eviction block erasures, and password verification timing interference. The 1D-DAE maintains high signal reconstruction fidelity (PSNR≈29.1-36.7dB, SSIM≈0.81-0.89), stabilizing diagnostic classification accuracy above 90% across all perturbation conditions. At the actuation layer, a Control Barrier Function (CBF) filter enforces physical safe-set invariance, instantly projecting a malicious pacing command injection (ureq=300BPM) down to a safe 140BPM bound using real-time Quadratic Programming (QP). Hardware profiling yields an end-to-end execution latency of 2.09ms and a low 7.2mJ energy footprint per cycle, confirming real-time feasibility for continuous 360Hz telemetry monitoring and safe closed-loop pacing.

Indexed as

Computer SecurityInternet of ThingsAlgorithmsAutoencoderElectrocardiographyHumansSignal Processing, Computer-AssistedTelemetryControl Barrier FunctionInternet of Medical Thingsmicroarchitectural leakageQuadratic Programming

Identifiers

PMID42884189
PMCPMC13667013

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.