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SPOC: A Secure and Privacy-preserving Opportunistic
Computing Framework for Mobile-Healthcare Emergency
Abstract
With the pervasiveness of smart
phones and the advance of wireless body sensor networks (BSNs), mobile
Healthcare (m-Healthcare), which extends the operation of Healthcare provider
into a pervasive environment for better health monitoring, has attracted
considerable interest recently. However, the flourish of m-Healthcare still
faces many challenges including information security and privacy preservation.
In this paper, we propose a secure and privacy-preserving opportunistic
computing framework, called SPOC, for m-Healthcare emergency. With SPOC, smart
phone resources including computing power and energy can be opportunistically gathered
to process the computing intensive personal health information (PHI) during
m-Healthcare emergency with minimal privacy disclosure. In specific, to
leverage the PHI privacy disclosure and the high reliability of PHI process and
transmission in m-Healthcare emergency, we introduce an efficient user-centric
privacy access control in SPOC framework, which is based on an attribute-based access
control and a new privacy-preserving scalar product computation (PPSPC) technique,
and allows a medical user to decide who can participate in the opportunistic
computing to assist in processing his overwhelming PHI data. Detailed security
analysis shows that the proposed SPOC framework can efficiently achieve
user-centric privacy access control in m-Healthcare emergency. In addition, performance
evaluations via extensive simulations demonstrate the SPOC’s effectiveness in
term of providing high reliable PHI process and transmission while minimizing
the privacy disclosure during m-Healthcare emergency.
Existing System
In Existing System, According
to the sensex over the age of 65 is expected to hit 70 million by 2030, having
doubled since 2000. Health
care expenditures projected to rise to 15.9% by 2010. The cost of health care
for the nation’s aging population has become a national concern are important
for understanding how the opportunistic computing paradigm work when resources available
on different nodes can be opportunistically gathered together to provide richer
functionality, they have not considered the potential security and privacy
issues existing in the opportunistic computing paradigm.
Proposed System
In our proposed SPOC framework
aims at the security and privacy issues, and develops a user-centric privacy access
control of opportunistic computing in m-Healthcare emergency.
Advantages
ü
Shift from a clinic-oriented, centralized
healthcare system to a patient-oriented, distributed healthcare system
ü
Reduce healthcare expenses through more
efficient use of clinical resources and earlier detection of medical conditions
Challenges
ü
Performance, Reliability, Scalability, QoS,
Privacy, Security …
ü
More prone to failures, caused by power
exhaustion, software and hardware faults, natural disasters, malicious attacks,
and human errors etc.
Modules
- Pervasive health monitoring in M-Healthcare
- Body Sensor Network
- Security Analysis
- Performance Evolution
- Simulation Setup
- Report Generation
Pervasive
Health Monitoring in M-Healthcare
In this module, each mobile medical user’s personal
health information (PHI) such as heart beat, blood sugar level, blood pressure
and temperature and others, can be first collected by BSN, and then aggregated
by smart phone via Bluetooth. Finally, they are further transmitted to the
remote healthcare center via 3G networks. Based on these collected PHI data,
medical professionals at healthcare center can continuously monitor medical
users’ health conditions and as well quickly react to users’ life-threatening situations
and save their lives by dispatching ambulance and medical personnel to an
emergency location in a timely fashion.
Body
Sensor Network
In
this module, Body area network (BAN), wireless body area network (WBAN) or body sensor network (BSN) are terms used to describe the
application of wearable computing devices. This will enable wireless
communication between several miniaturized body sensor units (BSU) and a single
body central unit (BCU) worn at the human body.
–
Deploy wearable sensors on the bodies of patients in a
residential setting
–
Continuously monitor physiological signals (such as
ECG, blood oxygen levels) and other health related information (such as
physical activity)
Security
Analysis
In this Module to develop a
secure and privacy-preserving opportunistic computing framework to provide high
reliability of PHI process and transmission while minimizing PHI privacy disclosure
in m-Healthcare emergency. Specifically, we
i)
apply opportunistic computing in m-Healthcare emergency
to achieve high-reliability of PHI process and transmission; and
ii)
ii) develop user-centric privacy access control to
minimize the PHI privacy disclosure.
Performance
Evolution
In
this module, the performance metrics used in the evaluation are :
1) The average
number of qualified helpers (NQH), which indicates how many qualified helpers
can participate in the opportunistic computing within a given time period, and
2) The average
resource consumption ratio (RCR), which is defined as the fraction of the resources
consumed by the medical user in emergency to the total resources consumed in opportunistic
computing for PHI process within a given time period.
Simulation
Setup
In this Module, the
simulator implements the application layer under the assumptions that the
communications between smart phones and the communications between BSNs and
smart phones are always workable when they are within each other’s transmission
ranges.
Report generation
In
this module, Health care center generate crystal report from the database
collection for future reference.
System
Configuration
Hardware
Requirements
·
System : Pentium IV 2.4 GHz.
·
Hard
Disk : 40 GB.
·
Floppy
Drive : 1.44 Mb.
·
Monitor : 15 VGA Color.
·
Mouse : Logitech.
·
Ram : 512 Mb
Software
Requirements
·
Operating
system : Windows XP.
·
Coding
Language : C#.Net
·
Database : Sql Server 2005
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