p2p presentation

8/12/2019 p2p Presentation

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ContentsAbstractIntroductionProblem statementScopeComputational Models

Hardware & Software requirementsConclusionReferences

IOK COE Comp. Engg. Dept.


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Abstract

This Project presents distributed algorithm that enable apeer to reason about trustworthiness of other peers based

on past interactions and recommendation.

Peerscreatetheir own trust network in their proximity.Trust, service and recommendation contexts are defined to

measure trustworthiness.

Recommenders trustworthiness and confidence are

considered while evaluating recommendation.



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Introduction

A central server is a preferred way to store andmanage trust information, e.g., eBay.

There is no central server in most P2P systems.



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Introduction

A central server is a preferred way to store andmanage trust information, e.g., eBay.

Yet, P2P is the oldest architecture in the world of

communications

Telephones are peer-to-peer

Usenet implementation of UUCP

Routing in the Internet

Internet endpoints have historically been peers



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Problem Statement

General overviewDefinitionOverlay networks

Goals

Classification of P2P systems

P2P research activities

Case Studies

Future research directionsIOK COE Comp. Engg. Dept.


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Scope

Case Studies

Future research directions

Computer field shocks:

Napster, SETI@home, Freenet, Gnutella, Jabber,

many early P2P projects have an overtly political mission

Emergence of sporadically connected Internet nodes (laptops,

handhelds, cell phones, appliances, )IOK COE Comp. Engg. Dept.


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Computational Model

Trust metricsService Trust MetricReputation Metric

Recommendation Trust Metric

Fading effect



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Service Trust Metric



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Reputation Metric



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Reputation Metric



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Recommendation Trust Metric



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Diagram



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Hardware & Software requirements

Hardware ConfigurationProcessor > Pentium IVSpeed > 1.1 Ghz

Ram > 256 MB (min)

Software ConfigurationOperating System > Windows XP

Programming Language > Java

Database > SQL Server 2005Tool > Net bean



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ConclusionA recommendation contains the recommenders ownexperience, information from its acquaintances, andlevel of confidence in the recommendation. Theseparameters provided us a better assessment oftrustworthiness.

It can be adapted to various P2P applications, e.g.,CPU sharing, storage networks, and P2P gaming.

Defining application specific context of trust andrelated metrics can help to assess trustworthiness in

various tasks.



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p2p presentation

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