Security analysis of an IoT system used for indoor localization in healthcare facilities

Bradley, Cole; El-Tawab, Samy; Heydari, Mahdi

doi:10.1109/sieds.2018.8374726

Cited by 31 publications

(27 citation statements)

References 21 publications

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“…All the other attacks considered for future implementations. Authors of [9], develops the IoT based system for healthcare for the location of patients in healthcare facilities. Paper demonstrated the DoS attack on the healthcare IoT system using Kali Linux and hydra tool.…”

Section: Related Workmentioning

confidence: 99%

Critical and Comparative Analysis of DoS and Version Number Attack in Healthcare IoT System

Ambarkar

Shekokar

2021

Lecture Notes in Networks and Systems

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Recently the entire world is witnessing the pandemic outbreak of COVID 19, which creates havoc in the healthcare industry. Error tolerance may lead to death threats for the patient in the healthcare system. However, practically the healthcare industry faces many manual error incidences, inadequate staffing, aging population, etc. These challenges will increase the stress level and disturbs the psychological as well as physical health of the healthcare practitioner. Internet of things (IoT) technique is adept to tackle such outbreaks by providing complete digitization of healthcare systems. However, IoT application deployment comes with many security threats and attacks challenges. Here it is worth mentioning that to implement a robust security solution, the comprehensive analysis of attack must carry out. This paper contributes by analyzing two preeminent attacks, the Denial of service (DoS) and version Number attack on the healthcare system. DoS rapidly destroy the network whereas version number haltingly takes control of the network. The paper further critically analyzes the performance and severity of these two attacks based on discrete parameters like routing metric, power consumption, number of packets received, number of expected transmissions, beacon interval, and proposes the robust solution.

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Section: Related Workmentioning

confidence: 99%

Critical and Comparative Analysis of DoS and Version Number Attack in Healthcare IoT System

Ambarkar

Shekokar

2021

Lecture Notes in Networks and Systems

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“…Authors [10] understand the problem of RPL protocol that the protocol is unable to provide protection for DODAG hence they had proposed VeRA the version number and rank authentication scheme, which uses the one-way hash, chain, however, authors failed to provide the details of the energy consumption or CPU consumption values. To prevent the DAG inconsistency caused by version number attack, the authors [11] put forth the rank authentication mechanism. They proposed the Trust Anchor Interconnection Loop (TRAIL), where the root node acted as an anchor node and the root node must validate the rank value.…”

Section: Literature Surveymentioning

confidence: 99%

A Secure Model to Protect Healthcare IoT System from Version Number and Rank Attack

Ambarkar¹,

Shekokar²

2021

JUSST

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Recently the entire world is witnessing a pandemic outbreak of COVID-19. Resultantly, the healthcare sector battles the challenges like inadequacy of staff members, feeble patient monitoring services, etc. IoT technology provides complete digitization. However, this healthcare IoT falls prey to various attacks and security threats. The main cause of the attacks is the IoT communication and routing protocols. Routing protocol for low power lossy network (RPL) provides the potent routing mechanism in the 6LoWPAN network. However, RPL is an unsecured protocol; hence providing security to IPV6-RPL connected devices is a challenging task. This paper modeled the rules for RPL protocol signatures like ETX, beacon interval, and energy consumption in a novel attack detection system. The simulation results proved that the proposed system detects the conventional as well as RPL specific attacks precisely version number and rank attacks in healthcare IoT systems with higher accuracy and detection rate.

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“…Furthermore, the medical sensor nodes are used in e-healthcarebased applications in which the patient's vital data is communicated to the healthcare providers over wireless networks. Bradley et al [121] have described the adoption of IoT technology in healthcare and pointed out the impact of SCA in the healthcare-IoT environment.…”

Section: Case Study: Sca Security Of Medical Sensor Nodementioning

confidence: 99%

“…Bradley et al . [121] have described the adoption of IoT technology in healthcare and pointed out the impact of SCA in the healthcare‐IoT environment.…”

Section: Side‐channel Security Of Intelligent Sensor Networkmentioning

confidence: 99%

Survey on power analysis attacks and its impact on intelligent sensor networks

Shanmugham

Paramasivam

2018

IET wirel. sens. syst.

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Smart or intelligent sensors are integrated physical units embedded with sensors, processors, and communication devices. The sensors also known as edge nodes form the lower-most tier in the internet of things architecture. These devices rely on cryptographic technique to ensure 'root of trust' for the users. The implementation attacks namely side-channel attacks (SCAs) pose a dangerous threat for the cryptographic implementation in the edge nodes since the attacks are undetectable by nature. Among the different categories of SCAs proposed in the literature, power analysis attacks (PAAs) are vastly studied and widely employed because it can be mounted with relatively inexpensive equipment. In this study, the different categories of PAAs along with the countermeasures are reviewed in detail. The impact of the SCA on the edge nodes is examined along with a case study on medical sensor nodes.

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Security analysis of an IoT system used for indoor localization in healthcare facilities

Cited by 31 publications

References 21 publications

Critical and Comparative Analysis of DoS and Version Number Attack in Healthcare IoT System

Critical and Comparative Analysis of DoS and Version Number Attack in Healthcare IoT System

A Secure Model to Protect Healthcare IoT System from Version Number and Rank Attack

Survey on power analysis attacks and its impact on intelligent sensor networks

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