About: Secure and energy-efficient framework using Internet of Medical Things for e-healthcare

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
Creator	Ahmed, Imran Haseeb, Khalid Rehman, Amjad Saba, Tanzila
Source	Elsevier; Medline; PMC
abstract	In various fields, the internet of things (IoT) gains a lot of popularity due to its autonomous sensors operations with the least cost. In medical and healthcare applications, the IoT devices develop an ecosystem to sense the medical conditions of the patients' such as blood pressure, oxygen level, heartbeat, temperature, etc. and take appropriate actions on an emergency basis. Using it, the healthcare-related data of patients is transmitted towards the remote users and medical centers for post-analysis. Different solutions have been proposed using Wireless Body Area Network (WBAN) to monitor the medical status of the patients based on low powered biosensor nodes, however, preventing increased energy consumption and communication costs are demanding and interesting problems. The issue of unbalanced energy consumption between biosensor nodes degrades the timely delivery of the patient's information to remote centers and gives a negative impact on the medical system. Moreover, the sensitive data of the patient is transmitting over the insecure Internet and prone to vulnerable security threats. Therefore, data privacy and integrity from malicious traffic are another challenging research issue for medical applications. This research article aims to a proposed secure and energy-efficient framework using Internet of Medical Things (IoMT) for e-healthcare (SEF-IoMT), which primary objective is to decrease the communication overhead and energy consumption between biosensors while transmitting the healthcare data on a convenient manner, and the other hand, it also secures the medical data of the patients against unauthentic and malicious nodes to improve the network privacy and integrity. The simulated results exhibit that the proposed framework improves the performance of medical systems for network throughput by 18%, packets loss rate by 44%, end-to-end delay by 26%, energy consumption by 29%, and link breaches by 48% than other states of the art solutions.
has issue date	2020-07-15(xsd:dateTime)
bibo:doi	10.1016/j.jiph.2020.06.027
bibo:pmid	32682657
has license	no-cc
sha1sum (hex)	8c7f553229607fb2fdc39772a5505a8213bd4471
schema:url	https://doi.org/10.1016/j.jiph.2020.06.027
resource representing a document's title	Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
has PubMed Central identifier	PMC7362861
has PubMed identifier	32682657
schema:publication	J Infect Public Health
resource representing a document's body	covid:8c7f553229607fb2fdc39772a5505a8213bd4471#body_text
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