An Efficient Patient Information Transmission and Receiving Scheme using Cloud H-IoT System
Yoon-Su Jeong1, Dong-Ryool Kim2, Seung-Soo Shin3
1Yoon-Su Jeong, Department of Information and Communication Convergence Engineering, Mokwon University, Daejeon, Korea.
2Dong-Ryool Kim, Department of Mechatronics Engineering, Tongmyong University, Busan, Korea.
3Seung-Soo Shin, Department of Information Security, Tongmyong University, Busan, Korea.
Manuscript received on 18 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 16 September 2019 | PP: 180-184 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B10340782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1034.0782S619
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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 medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular infrastructure technologies such as big data and internet of things are being used in conjunction with the cloud as ICT convergence digital healthcare technology is applied to hospital medical systems. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from H-IoT(Hospital IoT)_system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients’ biometric information through IoT devices attached to the patient’s body at hospitals in cloud environments that have established H-IoT systems. In the proposed model, patients are now eligible for medical service by installing an IoT device, and medical staff can analyze patient disease information so that patients who visit the hospital can collect and receive treatment for diseases related to their eating habits. The disease information analyzed in the proposed model minimizes hospital work to facilitate the treatment and management of prescriptions according to the degree of disease in patients. On average, the time required for medical staff to collect and analyze IoT patient information was 7.8 percent lower than previous techniques. The results of 11.1% improvement in server efficiency for processing IoT patient information were obtained. The IoT medical information transmitted from IoT devices was 16.3% lower than the traditional technology, using diffusion band technology.
Keywords: H-IoT, Cloud Service, User Privacy, Information Analysis, Eavesdropping, Biometric Information.
Scope of the Article: Wireless Power Transmission