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ShareNet Integrating Trust and Privacy policy Li Ding.

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Presentation on theme: "ShareNet Integrating Trust and Privacy policy Li Ding."— Presentation transcript:

1 ShareNet Integrating Trust and Privacy policy Li Ding

2 The Research Road Map Representation Web entity Individual: person, website, robot Community: social network, fiends Complex knowledge relation: trust, proof, provenance rule: policy Others: logging, web credibility Computation Distributed co-learning Network/graph analysis Distributed logical inference Technology Web service: WSDL, OWL-S, SOAP Knowledge creation: auto translation, XSLT Knowledge representation: P3P, RSS, FOAF User interface: XSLT

3 Roadmap Test --Privacy Policy Sharing –Framework –Context details Ontology –Address –FOAF-Lite –WebOfBelief Association Assertion AssertionProb –Website Privacy policy Shopping rating –Model/ Rule weightedModel Agents –Web service Pass OWL content via SOAP as (attachment ) (no in SOAP body) Create multiple instance of one web service –How to express query Jena query Tripple –Roles Person P3P converter Google Amazon reputation

4 P2P user network Web Information sources Robots Testbed Framework Facilitator PersonalWS GoogleRWS ReputationWS EpinionRWS Proxy PersonalWS

5 Privacy Policy Sharing Context M=50 users and N=100 websites “know” relations is –Randomly initialized: each user randomly know u users, and u follows (normal, zipf) distribution. –Randomly connected groups: users in the same group knows one another, then users are randomly connected “knowledge about website” –Range is “yes, no” – if the website has privacy policy –May not knowing the website –Rating “trust” relation is –Dynamically learned from experience –Dynamically inferred from network Scenarios Proxy/TestAgent ask user A about website X via facilitator Testing Agent generate initial knowledge distribution and send them to each personal agent Personal agent outsource knowledge/inquire rating Personal agents use their models (utility function) to make decision Personal agents evolve trust knowledge –QueryifWebsite: with α probability use own knowledge, otherwise use consensus –InitKnowledge: “know”, “website rating”, “trust evolution choice” –Register


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