Privacy-Enhanced
Web Service Composition
ABSTRACT:
Data as a Service (DaaS) builds on service-oriented
technologies to enable fast access to data resources on the Web. However, this
paradigm raises several new privacy concerns that traditional privacy models do
not handle. In addition, DaaS composition may reveal privacy-sensitive
information. In this paper, we propose a formal privacy model in order to
extend DaaS descriptions with privacy capabilities. The privacy model allows a
service to define a privacy policy and
a set of privacy requirements.
We also propose a privacy-preserving DaaS composition approach allowing to verify
the compatibility between privacy requirements and policies in DaaS
composition. We propose a negotiation mechanism that makes it possible to
dynamically reconcile the privacy capabilities of services when
incompatibilities arise in a composition. We validate the applicability of our
proposal through a prototype implementation and a set of experiments.
EXISTING SYSTEM:
A
typical example of modeling privacy is the Platform for Privacy Preferences
(P3P). However, the major focus of P3P is to enable only Web sites to convey
their privacy policies. In privacy only takes into account a limited set of
data fields and rights. Data providers specify how to use the service
(mandatory and optional data for querying the service), while individuals
specify the type of access for each part of their personal data contained in
the service: free, limited, or not given using a DAML-S
ontology.
DISADVANTAGES
OF EXISTING SYSTEM:
Two
factors exacerbate the problem of privacy in DaaS. First, DaaS services collect
and store a large amount of private information about users. Second, DaaS
services are able to share this information with other entities. Besides, the
emergence of analysis tools makes it easier to analyze and synthesize huge
volumes of information, hence increasing the risk of privacy violation. In the
following, we use our epidemiological scenario to illustrate the privacy
challenges during service composition.
Challenge 1:
Privacy Specification.
Challenge 2:
Privacy within compositions.
Challenge 3:
Dealing with incompatible privacy policies in compositions.
PROPOSED SYSTEM:
We
describe a formal privacy model for Web Services that goes beyond traditional
data-oriented models. It deals with privacy not only at the data level (i.e.,
inputs and outputs) but also service level (i.e., service invocation). In this paper, we build upon this model two
other extensions to address privacy issues during DaaS composition. The privacy
model described in this paper is based on the model initially proposed
ADVANTAGES
OF PROPOSED SYSTEM:
v Privacy-aware
Service Composition:
We propose a compatibility matching algorithm to check privacy compatibility
between component services within a composition.
v Negotiating
Privacy in Service Composition: In the case when any composition plan will be incompatible
in terms of privacy, we introduce a novel approach based on negotiation to
reach compatibility of concerned services (i.e., services that participate in a
composition which are incompatible).
SYSTEM ARCHITECTURE:
Fig 2-The Negotiation
Process overview
Fig
3- Service Negotiation Strategy
Fig
4-Mediator Negotiation Strategy
Fig
4-Prototype Architecture
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
ü Processor - Pentium –IV
ü Speed - 1.1
Ghz
ü RAM - 256
MB(min)
ü Hard Disk -
20 GB
ü Key Board -
Standard Windows Keyboard
ü Mouse - Two
or Three Button Mouse
ü Monitor - SVGA
SOFTWARE CONFIGURATION:-
ü Operating System : Windows XP
ü Programming Language :
JAVA
ü Java Version :
JDK 1.6 & above.
REFERENCE:
Salah-Eddine Tbahriti, Chirine Ghedira,
Brahim Medjahed and Michael Mrissa “Privacy-Enhanced Web Service Composition”- IEEE TRANSACTIONS ON SERVICES COMPUTING,
VOL. X, NO. Y, MARCH 2013.
