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A Sensor-Based Data Analytics for Patient Monitoring in Connected Healthcare Applications

Dr.Majidha Fathima K M

Department of Computer Science and Engineering
Sri Krishna College of Engineering and Technology Coimbatore,
India majidhafathimakm@skcet.ac.in

Deepika T
Ajaynavaneeth G R
Department of Computer Science and Engineering Sri Krishna College of
Engineering and Technology Coimbatore, India 727721eucs010@skcet.ac.in
Department of Computer Science and Engineering
Sri Krishna College of Engineering and Technology Coimbatore,
India 727721eucs023@skcet.ac.in

Bhuvaneshwari R
Department of Computer Science and Engineering
Sri Krishna College of Engineering and Technology Coimbatore,
India 727721eucs021@skcet.ac.in

ABSTRACT
Wireless sensor networks have been increasingly popular in healthcare applications in recent years, including patient monitoring in hospitals and at home. Compared to wired networks, wireless medical sensor networks are more susceptible to eavesdropping,
alteration, impersonation, and replaying assaults. The security of wireless medical sensor networks has been the subject of extensive research. Although the current solutions can shield patient data while it is being transmitted, they are unable to stop insider assaults, in
which a patient database administrator divulges private information. In this research, we use numerous data servers for dispersed patient data storage as a workable solution to counter insider threats. To improve data security and integrity, our suggested method makes use of the SHA-256 algorithm in conjunction with the CUNA framework. Without jeopardizing patient privacy, this method permits statistical analysis while guaranteeing safe patient data release. EHR systems and wireless medical sensor networks greatly enhance patient care without compromising patient comfort.
Keywords: patient monitoring, health, security, EHRs