| 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 2021 |
| تعداد صفحات مقاله انگلیسی | 12 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 | |
| ایمپکت فاکتور(IF) |
3.927 در سال 2020 |
| شاخص H_index | 91 در سال 2020 |
| شاخص SJR | 0.772 در سال 2020 |
| شناسه ISSN | 0263-2241 |
| شاخص Quartile (چارک) | Q1 در سال 2020 |
| 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. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| 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. |