ABSTRACT:
With the popularity of wearable
devices, along with the development of clouds and cloudlet technology, there
has been increasing need to provide better medical care. The processing chain
of medical data mainly includes data collection, data storage and data sharing,
etc. Traditional healthcare system often requires the delivery of medical data
to the cloud, which involves users’ sensitive information and causes communication
energy consumption. Practically, medical data sharing is a critical and
challenging issue. Thus in this paper, we build up a novel healthcare system by
utilizing the flexibility of cloudlet. The functions of cloudlet include
privacy protection, data sharing and intrusion detection. In the stage of data
collection, we first utilize Number Theory Research Unit (NTRU) method to
encrypt user’s body data collected by wearable devices. Those data will be
transmitted to nearby cloudlet in an energy efficient fashion. Secondly, we
present a new trust model to help users to select trustable partners who want
to share stored data in the cloudlet. The trust model also helps similar
patients to communicate with each other about their diseases. Thirdly, we divide
users’ medical data stored in remote cloud of hospital into three parts, and
give them proper protection. Finally, in order to protect the healthcare system
from malicious attacks, we develop a novel collaborative intrusion detection
system (IDS) method based on cloudlet mesh, which can effectively prevent the
remote healthcare big data cloud from attacks. Our experiments demonstrate the
effectiveness of the proposed scheme.
PROJECT OUTPUT
VIDEO: (Click the below link to see the project output video):
EXISTING SYSTEM:
·
Lu et al. proposed a system called SPOC, which stands for the secure and
privacy-preserving opportunistic computing framework, was proposed to treat the
storage problem of healthcare data in a cloud environment and addressed the
problem of security and privacy protection under such an environment.
·
Cao et al., an MRSE (multikeyword ranked search over encrypted data in
cloud computing) privacy protection system was presented, which aims to provide
users with a multi-keyword method for the cloud’s encrypted data. Although this
method can provide result ranking, in which people are interested, the amount
of calculation could be cumbersome.
·
In Zhang et al., a priority based health data aggregation (PHDA) scheme
was presented to protect and aggregate different types of healthcare date in
cloud assisted wireless boby area network (WBANs).
DISADVANTAGES OF EXISTING SYSTEM:
·
Causes communication energy consumption.
·
Practically, medical data sharing is a critical and challenging issue
·
No Trust.
PROPOSED SYSTEM:
·
This paper proposes a cloudlet based healthcare system. The body data
collected by wearable devices are transmitted to the nearby cloudlet. Those
data are further delivered to the remote cloud where doctors can access for
disease diagnosis.
·
According to data delivery chain, we separate the privacy protection
into three stages. In the first stage, user’s vital signs collected by wearable
devices are delivered to a closet gateway of cloudlet. During this stage, data
privacy is the main concern. In the second stage, user’s data will be further
delivered toward remote cloud through cloudlets.
·
A cloudlet is formed by a certain number of mobile devices whose owners
may require and/or share some specific data contents. Thus, both privacy
protection and data sharing are considered in this stage. Especially, we use
trust model to evaluate trust level between users to determine sharing data or
not.
·
Considering the users’ medical data are stored in remote cloud, we
classify these medical data into different kinds and take the corresponding
security policy.
·
In addition to above three stages based data privacy protection, we also
consider collaborative IDS based on cloudlet mesh to protect the cloud
ecosystem.
ADVANTAGES OF PROPOSED SYSTEM:
·
A cloudlet based healthcare system is presented, where the privacy of
users’ physiological data and the efficiency of data transmissions are our main
concern. We use NTRU for data protection during data transmissions to the
cloudlet.
·
In order to share data in the cloudlet, we use users’ similarity and
reputation to build up trust model. Based on the measured users’ trust level,
the system determines whether data sharing is performed.
·
We divide data in remote cloud into different kinds and utilize
encryption mechanism to protect them respectively.
·
We propose collaborative IDS based on cloudlet mesh to protect the whole
healthcare system against malicious attacks.
SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
·
System : Pentium Dual Core.
·
Hard Disk : 120 GB.
·
Monitor : 15’’ LED
·
Input Devices : Keyboard, Mouse
·
Ram : 1 GB
SOFTWARE REQUIREMENTS:
·
Operating system : Windows 7.
·
Coding Language : JAVA/J2EE
·
Tool : Netbeans 7.2.1
·
Database : MYSQL
REFERENCE:
Min Chen, Senior Member, IEEE, Yongfeng Qian, Jing Chen, Kai Hwang, Fellow, IEEE, Shiwen Mao, Senior Member, Long Hu, “Privacy
Protection and Intrusion Avoidance for Cloudlet-based Medical Data
Sharing”, IEEE Transactions on Cloud Computing,
2017.