Enforcing Trade Secrets among Competitors on the Semantic Web

dc.contributor.authorMalik, Choudhry Muhammad Zakien
dc.contributor.committeechairBouguettaya, Athmanen
dc.contributor.committeememberEltoweissy, Mohamed Y.en
dc.contributor.committeememberGracanin, Denisen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T20:43:46Zen
dc.date.adate2004-08-25en
dc.date.available2014-03-14T20:43:46Zen
dc.date.issued2004-08-18en
dc.date.rdate2004-08-25en
dc.date.sdate2004-08-19en
dc.description.abstractIn 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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-08192004-180411en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08192004-180411en
dc.identifier.urihttp://hdl.handle.net/10919/34636en
dc.publisherVirginia Techen
dc.relation.haspartZaki.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTrade Secretsen
dc.subjectPerturbationen
dc.subjectWeb Serviceen
dc.subjectSemantic Weben
dc.subjectB2Ben
dc.titleEnforcing Trade Secrets among Competitors on the Semantic Weben
dc.typeThesisen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Zaki.pdf
Size:
1.11 MB
Format:
Adobe Portable Document Format

Collections