DEFENDING AGAINST ATTACKS BY ENHANCING SECURITY USING BIOMETRICS IN SEMANTIC WEB
Semantic Web is maturing day by day and data and information integration is growing and becoming crucial. Security is one of the key features of the future Internet‟s security. So it is necessary harnessing the synergy in biometrics and in Semantic Web. It can leverage the lack of widely accepted biometrics security standards along with Semantic Web technologies to protect, represent, store and query metadata and data across biometrics datasets. However, the success of security mostly relies on user profiles. Therefore, a biometric user profile is crucial for service providers for the uptake of security services of Semantic Web. Biometric systems provide the solution to ensure that the rendered services are accessed only by a legitimate user and no one else. The security is dependent on the secrecy trustworthiness of the authentication because deeper the trust level of authenticator, stronger will be security of Semantic Web.
The Future Internet provides a powerful, standardized, world-wide, ubiquitous communications mechanism whose benefits are impossible to ignore . We think that Internetaccessible information is the clear wave of the future, provided that such access is reliable, dependable, and authentic. The Semantic Web Services community has already made great strides in defining the framework, standards, and languages needed for Semantic Web Service interactions. As promoted by the World Wide Web Consortium (W3C) , Semantic Web services are now seen as the preferential way to link applications both within and without an organization in a loosely-coupled, languageneutral, platform-independent way. A Semantic Web Services approach enables designing, publishing, promoting, registering, and initiating processes dynamically in a distributed computing environment. The Semantic Web is about adding machine-understandable and machine-process able metadata to Semantic Web resources through its key enabling technology i.e. ontology . Ontology is a formal, explicit and shared specification of conceptualization. The goal of the Semantic Web is to provide a response to the ever-growing need for secure data integration on the Semantic Web meanwhile research in biometrics is focused on strategies and techniques for uniquely recognizing humans based upon one or more intrinsic traits i.e. physical or behavioral. Particularly, biometric authentication refers to technologies to analyze and measure such traits for authentication purposes . Nevertheless, such technologies are data intensive and prone to generate massive amount of information about biometric identities, pertaining large scale data repositories of biometric features which are usually shared and transmitted through the Semantic Web. As discussed in , bridging biometrics with Semantic Web would permit to organize properly data fostering analysis and access of such information to accomplish critical tasks such as processing biometrics data to study. The need of adding biometrics to the Semantic Web and use Semantics to achieve information integration becomes even more critical as information systems become more complicate and data formats gain a more complex structure. Particularly in those fields where massive data gathering is faced, the need of information integration is critical, preserving by all means the Semantics inherent to the different data sources and formats. The benefit of adding biometrics in Semantic Web is to provide empowerment and more security to Semantic Web. In this paper, we present our approach for defending against attacks and enhancing security using biometrics in Semantic Web. This paper proposes a user-centric biometric approach to increase the depth of trust of Semantic Web security.
The Semantic Web term was coined in  to describe the evolution of a Web that consisted largely of documents for humans to read towards a new paradigm that included data and information for computers to manipulate. The Semantic Web will provide an infrastructure that enables not just web pages, but databases, services, programs, sensors, personal devices, and even household appliances to both consume and produce data on the web . Ontologies  are its cornerstone technology, providing structured vocabularies that describe a formal specification of a shared conceptualization.
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