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Security and Privacy on the Semantic Web

  • Daniel Olmedilla
Part of the Data-Centric Systems and Applications book series (DCSA)

Abstract

The semantic Web aims to enable sophisticated and autonomic machine-to-machine interactions without human intervention, by providing machines not only with data but also with its meaning (semantics). In this setting, traditional security mechanisms are not suitable anymore. For example, identity-based access control assumes that parties are known in advance. Then, a machine first determines the identity of the requester in order to either grant or deny access, depending on its associated information (e.g., by looking up its set of permissions). In the semantic Web, any two strangers can interact with each other automatically and therefore this assumption does not hold. Hence, a semantically enriched process is required in order to regulate automatic access to sensitive information. Policy-based access control provides sophisticated means to support the protection of sensitive resources and information disclosure. This chapter provides an introduction to policy-based security and privacy protection by analyzing several existing policy languages. Furthermore, it shows how these languages can be used in a number of semantic Web scenarios.

Keywords

Credit Card Policy Language Trust Management Horn Clause Access Control Policy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Daniel Olmedilla
    • 1
  1. 1.L3S Research Center and University of HannoverGermany

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