Title page for ETD etd-08192004-180411


Type of Document Master's Thesis
Author Malik, Choudhry Muhammad Zaki
URN etd-08192004-180411
Title Enforcing Trade Secrets among Competitors on the Semantic Web
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Bouguettaya, Athman Committee Chair
Eltoweissy, Mohamed Y. Committee Member
Gracanin, Denis Committee Member
Keywords
  • Trade Secrets
  • Perturbation
  • Web Service
  • Semantice Web
  • B2B
Date of Defense 2004-08-18
Availability unrestricted
Abstract
In this thesis, we present a novel approach for the preservation of trade secrets in a Business-to-Business (B2B) environment that involves trade among competitors. The Web provides a low cost medium for B2B collaborations. Information exchange may take place during such a collaboration. The exchanged information may be of a sensitive nature, forming a business trade secret. The open nature of the Web calls for techniques to prevent the disclosure of trade secrets. The emerging Semantic Web is expected to make the challenge more acute in terms of trade

secret protection due to the automation of B2B interactions. In this thesis, the different businesses are represented by Web services on the envisioned Semantic Web. We propose a Peer-to-Peer (P2P) approach for preserving trade secrets in

B2B interactions. We introduce a set of techniques based on data perturbation for preserving data privacy. The techniques presented in our thesis are implemented in WebBIS, a prototype for accessing e-business Web services. Finally, we conduct an extensive performance study (analytical and experimental) of the proposed techniques.

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