ABSTRACT:
With rapid developments of sensor, wireless and mobile communication
technologies, Mobile Healthcare Social Networks (MHSNs) have emerged as a
popular means of communication in healthcare services. Within MHSNs, patients
can use their mobile devices to securely share their experiences, broaden their
understanding of the illness or symptoms, form a supportive network, and
transmit information (e.g. state of health and new symptoms) between users and
other stake holders (e.g. medical center). Despite
the benefits afforded by MHSNs, there are underlying security and privacy
issues (e.g. due to the transmission of messages via a wireless channel). The
handshake scheme is an important cryptographic mechanism, which can provide
secure communication in MHSNs (e.g. anonymity and mutual authentication between
users, such as patients). In this paper, we present a new framework for the
handshake scheme in MHSNs, which is based on hierarchical identity-based
cryptography. We then construct an efficient Cross-Domain HandShake
(CDHS) scheme that allows symptoms-matching within MHSNs. For example, using
the proposed CDHS scheme, two patients registered with different healthcare centers can achieve mutual authentication and generate a
session key for future secure communications. We then prove the security of the
scheme, and a comparative summary demonstrates that the proposed CDHS scheme
requires fewer computation and lower communication costs. We also implement the
proposed CDHS scheme and three related schemes in a proof of concept Android
app to demonstrate utility of the scheme. Findings from the evaluations
demonstrate that the proposed CDHS scheme achieves a reduction of 18.14% and
5.41% in computation cost and communication cost, in comparison to three other
related handshake schemes.
SYSTEM
REQUIREMENTS:
HARDWARE
REQUIREMENTS:
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System : Pentium Dual Core.
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Hard Disk : 120 GB.
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Monitor :
15’’ LED
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Input Devices
: Keyboard, Mouse
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Ram : 1
GB
SOFTWARE
REQUIREMENTS:
·
Operating
system : Windows 7.
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Coding
Language : JAVA/J2EE
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Tool : Netbeans 7.2.1
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Database
: MYSQL
REFERENCE:
Debiao He, Neeraj
Kumar, Huaqun Wang, Lina
Wang, Kim-Kwang Raymond Choo,
Alexey Vinel, “A Provably-Secure
Cross-Domain Handshake Scheme with Symptoms-Matching for Mobile Healthcare
Social Network”, IEEE Transactions on Dependable and Secure Computing, 2018.
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