IoT Smart Health Security Threats

Butt, Shariq Aziz; Díaz-Martinez, Jorge; Jamal, Tauseef; Ali, Arshad; De-la-Hoz-Franco, Emiro; Shoaib, Muhammad

doi:10.1109/iccsa.2019.000-8

Cited by 55 publications

(25 citation statements)

References 18 publications

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“…Other studies classify the threat agents in a different way. For instance, in [56], methodology is based on adversarial model. The authors identify two types of attackers in IoT health systems: a) Internal Attackers (that exist within the healthcare system and execute malicious operations secretly), and b) External Attackers (that reside outside the healthcare system and and perform malicious activities.…”

Section: A: Threat Modeling For Iomtmentioning

confidence: 99%

Risk Assessment Methodologies for the Internet of Medical Things: A Survey and Comparative Appraisal

et al. 2021

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The Internet of Medical Things (IoMT) has revolutionized health care services by providing significant benefits in terms of patient well being and relevant costs. Traditional risk assessment methodologies, however, cannot be effectively applied in the IoMT context since IoMT devices form part of a distributed and trustless environment and naturally support functionalities that favor reliability and usability instead of security. In this work we present a survey of risk assessment and mitigation methodologies for IoMT. For conducting the survey, we assess two streams of literature. First, we systematically review and classify the current scientific research in IoMT risk assessment methodologies. Second, we review existing standards/best practices for IoMT security assessment and mitigation in order to i) provide a comparative assessment of these standards/best practices on the basis of predefined criteria (scope and/or coverage, maturity level, and relevant risk methodology applied) and ii) identify common themes for IoMT security controls. Based on the analysis, we provide various IoMT research and implementation gaps along with a road map of fruitful areas for future research. The paper could be of significant value to security assessment researchers and policymakers/stakeholders in the health care industry.

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Section: A: Threat Modeling For Iomtmentioning

confidence: 99%

Risk Assessment Methodologies for the Internet of Medical Things: A Survey and Comparative Appraisal

et al. 2021

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“…3) Since Network and system can only handle a limited amount of traffic and an attacker overloads the targeted system with the unlimited amount of traffic. 4) Denial-of-service attacks disable the computer or the network partially or completely depending on the nature of the enterprise [7].…”

Section: How Does An Attack Work?mentioning

confidence: 99%

Distributed Denial of Service Attacks

2021

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Distributed Denial-of-Service (DDoS) attacks are the intimidation trials on the Internet that deplete the network bandwidth. Researchers have introduced various defense mechanisms including attack prevention, traceback, reaction, detection, and characterization against DDoS attacks, but the number of these attacks increases every year, and the ideal solutions to this problem have eluded us so far. A classification of detection approaches against DDoS attacks is presented with the aim of giving deep insight into the DDoS problem.

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“…The protocols involved here are mainly from the application layer (COAP, MQTT). The need of early detection is considered highly important [ 196 ].…”

Section: Secure Iomt Communications: Threat Landscape and Protocolmentioning

confidence: 99%

Security in IoMT Communications: A Survey

Koutras

Stergiopoulos

Dasaklis

et al. 2020

Sensors

105

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The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.

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IoT Smart Health Security Threats

Cited by 55 publications

References 18 publications

Risk Assessment Methodologies for the Internet of Medical Things: A Survey and Comparative Appraisal

Risk Assessment Methodologies for the Internet of Medical Things: A Survey and Comparative Appraisal

Distributed Denial of Service Attacks

Security in IoMT Communications: A Survey

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