A Trust Model for Services in Federated Platforms

Atos, Atos and fish symbol, Atos Origin and fish symbol, Atos Consulting, and the fish symbol itself are registered trademarks of Atos Origin SA. © 2006 Atos Origin. Private for the client. This report or any part of it, may not be copied, circulated, quoted without prior written approval from Atos Origin or the client.

A Trust Model for Services in Federated Platforms Fco. Javier Nieto

ATOS Research and Innovation

Stockholm, 23rd March 2011

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Contents

» Introduction

» Problems & Solution

» The Proposed Trust Model» Main Details» Trust Model» The Ontology for the Trust Model» Trust Calculation in three rounds

» Trust in the Federated Environment

» Conclusions

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Introduction

» How do enterprises work?» They collaborate with others in their business

processes Some functionalities/activities are externalized through services;

» Sensitive information may be provided and the received results may ruin the business.

» What do enterprises need?» To be sure that the services used will not put the

business in risk They need to know if they can trust the service (and its provider).

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Contents

» Introduction




» Conclusions

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Problems and Solution

» Problems & Requirements:» Use more aspects than ratings and QoS;» Avoid attacks to the model;» Enable new FI scenarios Federated platforms;» Provide fair and accurate scores.

» Trust Model:» Wide model which aggregates information from many

sources;» Usage of rules for avoiding attacks to the model,

based on cause-effect analysis;» Share and evaluate information between federated

platforms;» Provide a customizable model.

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Contents

» Introduction




» Conclusions

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Main Details

» Trust seen as “firm belief in the reliability, truth, ability, or strength of someone or something”[Compact Oxford

English Dictionary];» Several calculations supported (especial weighted

average, exponential smoothing, fuzzy sets, statistical tests, services comparison and a mix of some of them);

» Mechanism for sharing information with other platforms and evaluating them;

» Trust ontology for trust calculation and information sharing;

» Consistency management by using rules (with fuzzy sets), according to concepts relationships.

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Trust Model

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The Ontology for the Trust Model

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Trust Calculation in 3 Rounds

1st Round - Calculate Individual Aspects

3rd Round - Calculate Aggregation of Aspects

2nd Round – Ammend Calculation with Fuzzy Rules

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Contents

» Introduction




» Conclusions

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Trust in the Federated Environment

GSP1

GSP2

GSP3

CP1ACP1B

CP1C

CP3A

CP2A

CP2B

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Contents

» Introduction




» Conclusions

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Conclusions

» When calculating trust, reputation is only a part of the model

» Robustness of the model is a key issue Keep information consistency

» In Federations, provide mechanisms for sharing information and evaluating it properly

» Semantics are a good tool for calculating trust and share information in Federations

Atos, Atos and fish symbol, Atos Origin and fish symbol, Atos Consulting, and the fish symbol itself are registered trademarks of Atos Origin SA. © 2006 Atos Origin. Private for the client. This report or any part of it, may not be copied, circulated, quoted without prior written approval from Atos Origin or the client.

For more information please contact:Fco. Javier Nieto ([email protected]) www.atosresearch.eu

» THANKS!

A Trust Model for Services in Federated Platforms

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