DOI:10.20894/IJWT.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.78 & GIF:0.428
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded
Today we have an abundant increase in the development of Information and Technology, which inturn made the Humans body even to carry a Mini- Computer in their Palms with Screen touch, Ex: Smart phone�s & Tablets etc., and parallel with the rich Enhancement in the Wireless Body Sensor Units, it is quite useful to the Enrichment of the Medical Treatment to be perfectly useful, comfortable via Smart Phones Using the networks (2G & 3G) carriers and made the treatment very easy even to the Common person in the society with the low cost money. With these the healthcare Authorities can treat the Patients (medical users) remotely where the patients reside at home or company or school or college or anywhere or at various places they work. This type of a treatment called for MHealthcare (Mobile- Healthcare). Although in the mhealthcare service there are many security and data Private problems to be overcome. Here we have A Secure and Private- Preserving Opportunistic Computing Framework called M-HealthCare, for Mobile-Healthcare Emergency. Using the Smart phone and SPOC, the Software or Hardware like computing power and energy can be gathered opportunistically to process the intensive Personal Health Information (PHI) of the medical user when he/she is in critical situation with minimal Private Disclosure. And also we introduce an efficient usercentric Private access control in SPOC Framework which is based on attribute access control and a new privatepreserving scalar product computation (PPSPC) technique and Makes a medical user (patient) to participate in opportunistic computing in transmitting his PHI data. Elaborated security analysis describes that the proposed SPOC framework can efficiently achieve usercentric Private access control in M-Healthcare emergency. In this paper we introduce Private-Preserving Support for Mobile Healthcare using Message Digest where we have used MD5 algorithm ,which can certainly achieves an efficient way and minimizes the memory consumed and the large amount of PHI data of the medical user (patient) is reduced to a fixed amount of size compared to AES which parallels increases the Speed of the data to be sent to TA without any delay which in-turn the professionals at Healthcare center can get exactly the Recent tablet user PHI data and can save their lives in correct time. As the algorithm is provided tight security in transmitting the patients PHI to TA. In respective performance evaluations with extensive simulations explains the MD (message digest) effectiveness in-term of providing high-reliable Personal Health Information (PHI) process and transmission while reducing the Private disclosure during Mobile-Healthcare emergency
