A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

Sensors

卷:19

Naveen Chilamkurti¹  Hemraj Saini²  Geetanjali Rathee²  Yunyoung Nam³  Rajiv Kumar⁴  Ashutosh Sharma⁴  Vijayakumar Varadarajan⁵ 

[1] Department of CS&

[2] Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan 173234, India;

[3] Department of Computer Science and Engineering, Soonchunhyang University, Asan 31538, Korea;

[4] Department of Electronics and Communication, Jaypee University of Information Technology, Solan 173234, India;

[5] School of Computing Science and Engineering, Vellore Institute of Technology, Chennai 600127, India;

关键词: quickest data transmission services;    critical-healthcare services;    security;    green energy;    service level agreement;    cyber physical system;    secure CPS;   

DOI  :  10.3390/s19092119

来源: DOAJ

【 摘 要 】

Due to advances in technology, research in healthcare using a cyber-physical system (CPS) opens innovative dimensions of services. In this paper, the authors propose an energy- and service-level agreement (SLA)-efficient cyber physical system for E-healthcare during data transmission services. Furthermore, the proposed phenomenon will be enhanced to ensure the security by detecting and eliminating the malicious devices/nodes involved during the communication process through advances in the ad hoc on-demand distance vector (AODV) protocol. The proposed framework addresses the two security threats, such as grey and black holes, that severely affect network services. Furthermore, the proposed framework used to find the different network metrics such as average qualifying service set (QSS) paths, mean hop and energy efficiency of the quickest path. The framework is simulated by calculating the above metrics in mutual cases i.e., without the contribution of malevolent nodes and with the contribution of malevolent nodes over service time, hop count and energy constraints. Further, variation of SLA and energy shows their expediency in the selection of efficient network metrics.

【 授权许可】

Unknown