Cloud consumers to obtain computing power on

is not a new concept. We have been using cloud computing for ages for one or
the other purposes. In simple words, we can say cloud to be a very large server
on which different services and data are stored, managed and processed. To
store, manage or handle cloud would not cost lot of money. In our paper, we
store patient’s health record which is cost effective. Health records are
essential to every patient and medical experts as well.

the problem with storing data in cloud is security. i.e. utilizing password
system is, it is not secured, forgotten and facilely purloined. Hackers can
able to trace the password through keystroke loggers and spyware.

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our paper, we are trying to propose a multimodal approach for providing security
to cloud whose features include:

1.      Use
of secured multimodal biometric
security on healthcare accessibility using the cloud technology.

2.      Face
recognition and fingerprint are used as a key for both data encryption and
decryption in Multimodal biometric based blowfish algorithm.

Security is an
important factor in this technology so that information especially important
information cannot be accessed by anybody unless you have been granted access
by the system through registration.



computing is an information technology (IT) paradigm that enables ubiquitous
access to shared pools of configurable system resources and higher-level
services that can be rapidly provisioned with minimal management effort, often
over the Internet. Grid computing was the first step towards allowing consumers
to obtain computing power on demand. Cloud is basically the practice of using a
network of remote servers hosted on to the internet to store, manage and
process data rather than a local server or a PC. So, it means one can access
cloud from any remote location of the world. Usage of cloud is cost effective
for its users as they can use cloud services without having to physically establish
IT infrastructure themselves.

modern years, personal health record (PHR) has been developed as a
patient-centric model for health information exchange. An Electronic Health
Record (EHR) 1 is an electronic version of a patient’s medical records, which
is maintained by the health care provider over time, and may include all of the
person’s medical data and medical records under a particular provider. The EHR
can improve patient care by reducing the incidence of medical error by
improving the accuracy and clarity of medical records. By storing EHR in a
cloud environment, the EHR’s of a patient maintained by different health care
providers can be consolidated and the health information or medical history of
the patient can be made available anytime. It also reduces the duplication of
tests, thereby reducing delays in treatment, and patients can be pre-informed
to take better decisions. It is cost effective as healthcare providers need not
construct dedicated infrastructure to store data. But, since it can be accessed
from any geographical locations, providing security and privacy to the EHRs is
the biggest challenge faced. Many researches have been done in this regard to
provide security and/or privacy to the EHR. One personalized approach that was
proposed was the use of biometrics to provide security. Biometrics are distinctive,
measurable characteristics which can be used for recognizing a person like
fingerprint, face, voice etc.

present, unimodal biometric authentication like fingerprint recognition is used
to securely identify and provide access of EHR to patients and healthcare
providers. This approach poses the probability of confidentiality or privacy of
EHR being lost, as within a large population, unimodal biometrics is prone to
inter-class similarities like the biometrics can be stolen easily without the
knowledge of the owner and spoofed using rubber prints or due to the possibility
of false acceptance. In this paper, we propose to use multi-modal biometrics to
provide security for healthcare records in the cloud and overcome the disadvantages


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