Cloud Security in E-Health Care System
L.Srinivasa Raghavan – 18MCI0001
18MCI0001- M.Tech CSE Information Security
SCOPE-VIT-Vellore.
Dated: 25/2/2019
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Abstract
The project is to develop secured data transfer remotely from various base stations to the hospital main server. The stimulated scenario are used to measure the validity of the medical records and benchmarking is done with the
DICOM (Digital Imaging and Communication of Medicine)dataset for easy diagnosis. Outpatient or Inpatient records that pass stored in the Hospital staging server first for doctors / Technicians Approval. Once approved records are stored in the database and finally to the main server. There is also the backup server which has the provision for community services to various hospital (Intra-Inter Hospitals). There is a separate Wireless base station connected with satellite which is operating round the clock in all the days to support this provision. A Hospital Record Services (HRS) is also provisioned for faster viewing of medical image records. Medical field is based on image data and text. This project aims to stimulate medical record from MINERVA MEDICAL CENTER and the reports that are generated send to 3Dim Viewer Analyser where the corresponding image is made to mask for the security of the patient record and only those parts that are to be diagonized are snapshotted and send to scan centre inside the hospital. Before sending records, it is planned to propose to impose with DICOM algorithms ensuring all the records are encrypted and safe during transmission.
Keywords: DICOM, Tromino Encryption Decryption
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Introduction
Remote Healthcare System today plays a major role in IT industry and the cloud plays a major role for accessing or exercising any records from the remote. The deployment of healthcare facility at remote centres is impossible without cloud. This project focuses on the practical scenario still now existing and adopted at major corporate hospital where either inpatient or out patient is monitored first with EKG and X-Rays for any kind of diseases to diagnoses with. One such is Minerva Medical Centre where we are going to analyse the full case history of the above said diagnosis and do cloud security with the generated reports using MRiLab. Some diagnosis process is monitored for in-patients using the technique called wireless body area network where sensor nodes are attached or implanted to the patient body to measure the value sense. All the medical records from wireless product which is attached with patients) are passed to personal servers wirelessly where by it get transmitted to the remote base station in the encrypted form. From the remote base station using keys agreement and encrypted layers it gets transmitted to hospital main server where it is securely stored. In the process of generated report only a part of the report which need to be diagnosed transmitted in a secured format as image whereas rest details are securely made to hide.
All the medical data are standardized to DICOM datasets.
Literature Survey
[1] Basically in the paper Stream Cipher is used for encrypting and decrypting the images. Algorithm used is RSA.It ensures the combination of public key encryption, Secret key encryption and watermarking for implementation.
[2] This paper emphasis on XOR operation encryption and decryption and Bitplane encryption ,decryption.
[3] The methodology used in this paper is shuffling the plain image pixel and their by generating the secret key.
[4] This paper gives the idea of implementing AES 128-bit algorithm by substitute byte , shift rows, mix columns, and add round keys for encryption and decryption.
[5] This paper uses RSA algorithm for image encrypt and decrypt under 512x512 pixels of 256 grey scale level.
[6] Addressing the modern cloud security issues like Data storage and processing, Management of E-health Care infrastructure and usability and user experience.
[7] This paper discusses about secure delivery of medical image methodology from server to server through IP Protocol.
[8] This paper uses single key for encryption and decryption of image.(Method : Symmetric Key Cryptography)
[9] ROI(Region of Interest) Image processing mechanism in jpeg codec jpeg 2000 codec.
[10] Implementation of Quantum Shor’s Algorithm.
Proposed Model (Architecture Finalized)