Citation
Sinnanaidu, Subba Rao
(2004)
Security Framework Based on Reputation Mechanism for Peer-To-Peer Systems.
Masters thesis, Universiti Putra Malaysia.
Abstract
Peer-to-peer networks have emerged over the past several years as a new and
effective way for distributed resources to communicate and cooperate. Peer-to-peer
computing is the sharing of computer resources and services by direct system
exchange. These information sharing environments are increasingly gaining
acceptance on the Internet as they provide an infrastructure in which the desired
information can be located and downloaded while preserving the anonymity. Some
of the peer-to-peer networks such as Napster and Gnutella which support anonymity,
open doors to possible misuse and abuse of the network resources. This is apparent
in the spread of tampered resources, malicious program such as Trojan Horses and
viruses by resource provider itself.
In this thesis, a Peer Security Framework (PSF) has been developed using
reputation-based mechanism to address these problems. This is done by an approach
where the servents can keep track and share the information about the reputation of
their peers with other peers. The “reputation sharing” based on a distributed polling
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algorithm in which the resource requestors can assess the reliability of respective
provider before initiating the download. This approach nicely complements the
existing peer-to-peer protocols and gives a limited disruption on current
implementations. Furthermore, it maintains the current level of anonymity of
requestors and providers as well as that of the parties sharing their views on other’s
reputations.
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Additional Metadata
Item Type: |
Thesis
(Masters)
|
Subject: |
Security |
Subject: |
Peer-to-peer architecture (Computer networks) |
Call Number: |
FK 2004 12 |
Chairman Supervisor: |
Associate Professor Borhanuddin Bin Mohd Ali, PhD |
Divisions: |
Faculty of Engineering |
Depositing User: |
Users 16 not found. |
Date Deposited: |
14 May 2008 19:24 |
Last Modified: |
27 May 2013 06:45 |
URI: |
http://psasir.upm.edu.my/id/eprint/101 |
Statistic Details: |
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