مقاله انگلیسی رایگان در مورد طرح های نظارتی امنیت بهداشت و درمان مبنی بر هوش برای تشخیص حمله تکرار گره – الزویر ۲۰۲۱

مقاله انگلیسی رایگان در مورد طرح های نظارتی امنیت بهداشت و درمان مبنی بر هوش برای تشخیص حمله تکرار گره – الزویر ۲۰۲۱

 

مشخصات مقاله
ترجمه عنوان مقاله طرح های نظارتی امنیت بهداشت و درمان مبنی بر هوش برای تشخیص حمله تکرار گره در شبکه های حسگر بی سیم
عنوان انگلیسی مقاله An intelligent based healthcare security monitoring schemes for detection of node replication attack in wireless sensor networks
انتشار مقاله سال ۲۰۲۱
تعداد صفحات مقاله انگلیسی ۱۲ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۳٫۹۲۷ در سال ۲۰۲۰
شاخص H_index ۹۱ در سال ۲۰۲۰
شاخص SJR ۰٫۷۷۲ در سال ۲۰۲۰
شناسه ISSN ۰۲۶۳-۲۲۴۱
شاخص Quartile (چارک) Q1 در سال ۲۰۲۰
فرضیه ندارد
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط مهندسی کامپیوتر، مهندسی پزشکی
گرایش های مرتبط امنیت اطلاعات، هوش مصنوعی، بیوالکتریک
نوع ارائه مقاله
ژورنال
مجله  سنجش – Measurement
دانشگاه Kongu Engineering College, India
کلمات کلیدی شبکه های حسگر بی سیم، شبکه های ناحیه بدن بی سیم، گره تکراری، سیستم نظارت بر بهداشت و درمان، احتمال تشخیص، سربار ارتباط، سربار ذخیره
کلمات کلیدی انگلیسی Wireless sensor networks, Wireless body area networks, Replica node, Healthcare monitoring system, Detection probability, Communication overhead, Storage overhead
شناسه دیجیتال – doi
https://doi.org/10.1016/j.measurement.2020.108272
کد محصول E16102
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Keywords
Introduction
Related work
Challenges and threats in healthcare monitoring system
Architecture and components of healthcare monitoring system
Analysis of proposed algorithms in healthcare monitoring system
Simulation and experimental results
Performance characteristics
Conclusion
CRediT authorship contribution statement
Declaration of Competing Interest
Acknowledgement
References

بخشی از متن مقاله:
ABSTRACT
Due to the increased growth of elderly people in recent years, healthcare systems face many challenges on the money spent for those people. Both quality and affordability has to be provided by the new technology which is the today’s need. When applying WSN technologies, the advantages such as continuous monitoring with alert mechanisms and relative information are to be satisfied. Among the other challenges, due to the deployed environment, security is a key challenge. As gateway connects to the wireless networks, it is the target area for many adversaries to launch various attacks. Initially, attacker launches node compromise attack which leads to node replication attack. The introduced security methods for intelligent healthcare monitoring system effectively detect replication attack and provide protection to the system. The potential application of proposed methods namely Exponential Moving Average based Replica Detection (EMABRD), Secured Ant Colony Optimization (SACOP) and Fingerprint based Zero Knowledge Authentication (FZKA) is applied to a real time environment. While comparing three algorithms, SACOP has higher detection probability of malicious nodes at the expense of increased storage and communication overheads over EMABRD and FZKA. FZKA performs better compared to EMABRD in terms of detection probability but at the cost of increased overheads. So, among the three algorithms, EMABRD is better in terms of overheads and SACOP is better in terms of detection probability.
Introduction
Recent advances in the technologies of WSN have gained attention towards various fields like healthcare, entertainment, industry, retail and travel and emergency management in order to improve the quality of life [1,2]. During recent years, healthcare monitoring system has been paid more attention because of tremendous growth in technology in spite of its security challenge. The performance of WSNs is affected by challenges, potential threats and vulnerabilities of healthcare monitoring system. Due to the increased growth of elderly people in recent years, healthcare systems face many challenges on the money spent for those people. Both quality and affordability have to be provided by the new technology which is the today’s need [3]. When applying WSN technologies, the advantages such as continuous monitoring with alert mechanisms and relative information are to be satisfied. In terms of quality and cost, WSN is one among the possible technologies providing a viable solution. Moreover, in connecting wearable devices, WSN plays a major role [6]. As the continuous and close monitoring of the individuals provided by wearable devices, flawless health status is maintained. When combining these systems with telemedicine, alert message is generated when an abnormal situation occurs.

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