{"title":"Security risk assessment of internet of things health devices using DREAD and STRIDE models","authors":"Buhang Zhai , Oluwatobi Noah Akande , Saurabh Agarwal , Wooguil Pak","doi":"10.1016/j.asej.2025.103721","DOIUrl":null,"url":null,"abstract":"<div><div>A high volume of IoT devices used in healthcare is not regulated for security, which can allow attacks to occur that endanger healthcare organizations based on the value of patient data. Such devices are primarily implemented in a way that prioritizes usability and cost. Security is rarely prioritized due to a lack of universal security standards. The threats are constantly evolving, and strengthening device security has become a high-priority task. We conducted a qualitative and quantitative risk assessment of the twenty-three top IoT-based health devices using the qualitative STRIDE model for threat identification, and the quantitative DREAD model for threat prioritization. Specific countermeasures are proposed for each risk, which, if properly implemented, can considerably reduce vulnerabilities. We also present a prototype web platform for interactive, user-friendly risk assessment and security awareness in healthcare IoT, designed to enable improved protection for patients from the inefficient provision of security through unsafe technologies.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 11","pages":"Article 103721"},"PeriodicalIF":5.9000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447925004629","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A high volume of IoT devices used in healthcare is not regulated for security, which can allow attacks to occur that endanger healthcare organizations based on the value of patient data. Such devices are primarily implemented in a way that prioritizes usability and cost. Security is rarely prioritized due to a lack of universal security standards. The threats are constantly evolving, and strengthening device security has become a high-priority task. We conducted a qualitative and quantitative risk assessment of the twenty-three top IoT-based health devices using the qualitative STRIDE model for threat identification, and the quantitative DREAD model for threat prioritization. Specific countermeasures are proposed for each risk, which, if properly implemented, can considerably reduce vulnerabilities. We also present a prototype web platform for interactive, user-friendly risk assessment and security awareness in healthcare IoT, designed to enable improved protection for patients from the inefficient provision of security through unsafe technologies.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.