Security-Aware Routing on Wireless Communication for E-Health Records Monitoring Using Machine Learning
Sudhakar Sengan,
Osamah Ibrahim Khalaf,
Ganga Rama Koteswara Rao,
Dilip Kumar Sharma,
Amarendra K. and
Abdulsattar Abdullah Hamad
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Sudhakar Sengan: PSN College of Engineering and Technology, India
Osamah Ibrahim Khalaf: Al-Nahrain University, Iraq
Ganga Rama Koteswara Rao: Koneru Lakshmaiah Education Foundation, India
Dilip Kumar Sharma: Jaypee University of Engineering and Technology, India
Amarendra K.: Koneru Lakshmaiah Education Foundation, India
Abdulsattar Abdullah Hamad: University of Samarra, Iraq
International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2022, vol. 11, issue 3, 1-10
Abstract:
An ad hoc structure is self-organizing, self-forming, and system-free, with no nearby associations. One of the significant limits we must focus on in frameworks is leading. As for directions, we can send the packet or communications from the sender to the recipient node. AODV Routing Protocol, a short display that will make the tutorial available on demand. Machine Learning (ML) based IDS must be integrated and perfected to support the detection of vulnerabilities and enable frameworks to make intrusion decisions while ML is about their mobile context. This paper considers the combined effect of stooped difficulties along the way, problems at the medium get-right-of-area to impact layer, or pack disasters triggered by the remote control going off route. The AODV as the Routing MANET protocol is used in this work, and the process is designed and evaluated using Support Vector Machine (SVM) to detect the malicious network nodes.
Date: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jrqeh0:v:11:y:2022:i:3:p:1-10
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