A Light Weight Secured and Efficient Health Monitoring System Implemented Over IoT Based Networks
Desu Pavani Ramya1, Md.Ali Hussain2

1Desu Pavani Ramya, M.Tech Student, Department of ECM, KL Deemed to Be University, Vijayawda (Andhra Pradesh), India.
2Dr. Mohammed Ali Hussain, Professor, Department of ECM, KL Deemed to Be University, Vijayawda (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1806-1809 | Volume-8 Issue-6, April 2019 | Retrieval Number: F4049048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The main aim of the using a Light weight cryptography in a body sensor network(BSN) is to provide security to the data and devices using limited resources. The body sensor network(BSN) designed to monitor patient continuously. The BSN consist of various sensors placed on the body of the patient to obtain various parameters to diagnosis patient such as the temperature,pulse rate and saline level the values of the sensors are stored in cloud in the form of PHR’s by this automatic entry in the cloud platform it helps in eliminating the manual entry which is time effective and accurate . The data in the PHR’s can only be accessed by the concerned doctor and the nurse.In the abnormal condition of the patient the alert alarms are generated in the concerned API’s.The data present in the cloud is stored in encrypted form .The proposed model is a combination of the sensors,internet of things ,encryption is done in the board level and the security algorithm called LICI is a lightweight algorithm which is efficient in both hardware ,software and also stops various Biclique and Zero correlation attacks. In many cases due to negligence of hospital staff or relatives the saline level is not monitored it leads to the ”AIR EMBOLISM” causes heart attack .In this model the patient data is maintained in to two PHR’s of doctor and nurse the security of PHR’s is provided basing on the sensitivity level of the data present in PHR’s.
Keyword: Arduino, Encryption, health monitoring, Lici.
Scope of the Article: IoT