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P2P Reputation Management

Introduction:

Many P2P networks with varying degree of success. Reputation

based methods have proven to be the most effective in this task.

Nevertheless, there are number of different approaches which adapt

reputation management to different P2P environment.

In this paper, we investigate the methods which have been develop

ed to cope with undesirable peer behavior. Our goal is to survey the

present reputation management methods and propose a

classification which facilitates a system analysis. We identify all

published methods and outline the possible solutions.

First, we investigate what secure P2P network. We sharing areas

are resource availability, resource quality, anonymity, and access control.

We added an area referred P2P system. Peers which adhere to the first

four criteria are called faithful. Reputation management techniques

peers chance to detect the low trustworthiness or faithfulness of their

partners. Similar to a human community, individual peers make decisions

about the trustworthiness of other peers on the basis of recommendations

basis of their own past experience.

Abstract:

A requester requests the service from the provider and optionally

evaluates the attributes of the provider besides giving recommendation(s)

to the provider. The method used by the requester to ascertain the value

of the recommendation it provides, can be common across peers if they

are able to download a file irrespective of the content file ) or specific to

a peer . In a completely decentralized network, the method used to

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ascertain the recommendation is unlikely to be Global, because unrelated

peers are likely to value the different aspects of a service differently. We

must overcome this problem using certification.

Scope of the project:

In all this principle a peer can refuse a request when it believes that

the remote peer has a low trustworthiness broken. Reputation

management is a methods dealing with how to distribute reputation

among peers transaction.

When the peer gets a reputation value, it must decide whether to

perform the given transaction or not. Because the reputation value

represents the probability of expected behavior, the peer always runs,

accept to get a certain resource is expressed as the risk value. The risk

value can reflect possible benefits one fails, and can be determined with

human assistance. The risk value can be the radio of all bad service over

the worst effect when all services received in this time interval were bad.

This methods takes there are two basic scenarios which can occur

in a remote resource and has to choose among several possible sources.

The aim is to weed out untrustworthy is contacted by another peer and is

asked for a resource. Targets mainly have fairness in mind in this

scenario. Therefore, the reputation criterion which relies is important for

us. Not all information is available to with trusted peers. So, the

trustworthiness of the target.

While P2P networks are useful and provide a beneficial service,

they also provide an opportunity for abuse and computer virus

transmission.

Project Juxtapose is building core network computing technology

to provide a set of simple, small, and flexible mechanisms that cansupport P2P computing on any platform, anywhere, and at any time. The

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project is first generalizing P2P functionality and then building core

technology that addresses today's limitations on P2P computing. The

focus is on creating basic mechanisms and leaving policy choices to

application developers.

Juxtapose strives to provide a base P2P infrastructure over which

other P2P applications can be built. This base consists of a set of

protocols that are language independent, platform independent, and

network agnostic (that is, they do not assume anything about the

underlying network). These protocols address the bare necessities for

building generic P2P applications. Designed to be simple with low

overhead, the protocols target, to quote the Juxtapose vision statement,

"every device with a digital heartbeat."

Juxtapose currently defines six protocols, but not all Juxtapose

peers are required to implement all six of them. The number of protocols

that a peer implements depends on that peer's capabilities, conceivably, a

peer could use just one protocol. Peers can also extend or replace any

protocol, depending on its particular requirements.

Existing system:

In distributed environments formed by a large number of

peers conventional authentication techniques are inadequate for the

group joining process, and more advanced ones are needed.

Complex transactions among peers may require more

elaborate interactions based on what peers can do or possess instead of

peers identity.

Not easy to access the group.

Not using certification validation.

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Proposed System:

We propose a novel peer group joining protocol. We introduce a

highly expressive.

User friendly for the users.

Certification will validate the user.

Resource negotiation language, able to support the specification

of a large variety of conditions applying to single peers or groups of

peers. Moreover, we define protocols to test such resource availability

customized to the level of assurance required by the peers.

Our approach has been tested and evaluated on an extension of

the JUXTAPOSE P2P platform.

Data Flow Diagram:

User Login Enter your Group

View Peer group

Users

View files shared

By group users

Download

required files

Logout

JXTA protocol

Check sum

Check

certification

Choose file to

Certification

not exist

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Modules:

Juxtapose Certificate verification

Validation

Assort file

Acquire Group

Algorithm Used:

Checksum

Certificate

Secure

serverClient

Server

certificate

Client

certificat

e