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A STRIDE-based Threat Modeling Framework for Small Clinics and AI-Enabled Healthcare Services
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 65 |
| Year of Publication: 2025 |
| Authors: Sri Sowmya Nemani |
10.5120/ijca2025926102
|
Sri Sowmya Nemani . A STRIDE-based Threat Modeling Framework for Small Clinics and AI-Enabled Healthcare Services. International Journal of Computer Applications. 187, 65 ( Dec 2025), 54-57. DOI=10.5120/ijca2025926102
Abstract
Small clinics operate medical devices (imaging, anesthesia monitors), EHR systems, payment terminals, and third-party integrations (diagnostic labs, suppliers). Despite handling sensitive client data and relying on networked medical devices, these clinics rarely adopt formal threat-modeling practices. This paper presents the Threat modeling for small scale businesses like Vet clinics, Chiropractor clinics, AI-Enabled Health care service etc. Mostly, lightweight STRIDE threat modeling for IoT and EHR security. This paper demonstrates the framework on a representative clinic profile and shows how straightforward mitigations (TLS, MFA, network segmentation, vendor contract clauses) measurably reduce attack surface and risk exposure.
References
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