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i
LIST OF FIGURE
FIG.NO. FIGURE NAME PAGE NO.
5.1 COMPILING AND INTERPRETING JAVA SOURCE CODE 23
ii
LIST OF TABLE
TABLE NO. TABLE NAME PAGE NO.
1. TEST CASE REPORTS 55
iii
ABSTRACT
Cloud-assisted mobile health (mHealth) monitoring, which applies the
prevailing mobile communications and cloud computing technologies to provide feedback
decision support, has been considered as a revolutionary approach to improving the quality of
healthcare service while lowering the healthcare cost. Unfortunately, it also poses a serious
risk on both clients’ privacy and intellectual property of monitoring service providers, which
could deter the wide adoption of mHealth technology. This paper is to address this important
problem and design a cloud assisted privacy preserving mobile health monitoring system to
protect the privacy of the involved parties and their data. Moreover, the outsourcing
decryption technique and a newly proposed key private proxy re-encryption are adapted to
shift the computational complexity of the involved parties to the cloud without compromising
clients’ privacy and service providers’ intellectual property. Finally, our security and
performance analysis demonstrates the effectiveness of our proposed design.

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A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING

  • 1. i LIST OF FIGURE FIG.NO. FIGURE NAME PAGE NO. 5.1 COMPILING AND INTERPRETING JAVA SOURCE CODE 23
  • 2. ii LIST OF TABLE TABLE NO. TABLE NAME PAGE NO. 1. TEST CASE REPORTS 55
  • 3. iii ABSTRACT Cloud-assisted mobile health (mHealth) monitoring, which applies the prevailing mobile communications and cloud computing technologies to provide feedback decision support, has been considered as a revolutionary approach to improving the quality of healthcare service while lowering the healthcare cost. Unfortunately, it also poses a serious risk on both clients’ privacy and intellectual property of monitoring service providers, which could deter the wide adoption of mHealth technology. This paper is to address this important problem and design a cloud assisted privacy preserving mobile health monitoring system to protect the privacy of the involved parties and their data. Moreover, the outsourcing decryption technique and a newly proposed key private proxy re-encryption are adapted to shift the computational complexity of the involved parties to the cloud without compromising clients’ privacy and service providers’ intellectual property. Finally, our security and performance analysis demonstrates the effectiveness of our proposed design.