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SORT: A Self-Organizing Trust Model for Peer-to-Peer Systems
ABSTRACT:
Open nature of peer-to-peer systems exposes them to malicious activity. Building trust
relationships among peers can mitigate attacks of malicious peers. This paper presents
distributed algorithms that enable a peer to reason about trustworthiness of other peers based on
past interactions and recommendations. Peers create their own trust network in their proximity
by using local information available and do not try to learn global trust information. Two
contexts of trust, service, and recommendation contexts are defined to measure trustworthiness
in providing services and giving recommendations. Interactions and recommendations are
evaluated based on importance, recentness, and peer satisfaction parameters. Additionally,
recommender’s trustworthiness and confidence about a recommendation are considered while
evaluating recommendations. Simulation experiments on a file sharing application show that the
proposed model can mitigate attacks on 16 different malicious behavior models. In the
experiments, good peers were able to form trust relationships in their proximity and isolate
malicious peers.
GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
EXISTING SYSTEM:
In the existing system of an authority, a central server is a preferred way to store and manage
trust information, e.g., eBay. The central server securely stores trust information and defines
trust metrics. Since there is no central server in most P2P systems, peers organize themselves to
store and manage trust information about each other. Management of trust information is
dependent to the structure of P2P network. In distributed hash table (DHT) - based approaches,
each peer becomes a trust holder by storing feedbacks about other peers. Global trust
information stored by trust holders can be accessed through DHT efficiently. In unstructured
networks, each peer stores trust information about peers in its neighborhood or peers interacted
in the past. A peer sends trust queries to learn trust information of other peers. A trust query is
either flooded to the network or sent to neighborhood of the query initiator.
DISADVANTAGES OF EXISTING SYSTEM:
 Calculated trust information is not global and does not reflect opinions of all peers.
 Classifying peers as either trustworthy or untrustworthy is not sufficient in most cases.
Metrics should have precision so peers can be ranked according to trustworthiness.
 Trust models on P2P systems have extra challenges comparing to e-commerce platforms.
Malicious peers have more attack opportunities in P2P trust models due to lack of a
central authority
 Five common attacks in P2P trust models: self-promoting, white-washing, slandering,
orchestrated, and denial of service attacks.
PROPOSED SYSTEM:
In the proposed system, we introduce a Self-Organizing Trust model (SORT) that aims to
decrease malicious activity in a P2P system by establishing trust relations among peers in their
proximity. No a priori information or a trusted peer is used to leverage trust establishment.
Peers do not try to collect trust information from all peers. Each peer develops its own local
view of trust about the peers interacted in the past. In this way, good peers form dynamic trust
groups in their proximity and can isolate malicious peers. Since peers generally tend to interact
with a small set of peers forming trust relations in proximity of peers helps to mitigate attacks in
a P2P system.
ADVANTAGES OF PROPOSED SYSTEM:
Recommendation-based attacks were contained except when malicious peers are in large
numbers, e.g., 50 percent of all peers. Experiments on SORT show that good peers can defend
themselves against malicious peers metrics let a peer assess trustworthiness of other peers based
on local information. Service and recommendation contexts enable better measurement of
trustworthiness in providing services and giving recommendations.
SYSTEM ARCHITECTURE:
ALGORITHMS USED:
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.
REFERENCE:
Ahmet Burak Can, Member, IEEE, and Bharat Bhargava, Fellow, IEEE-“SORT: A Self-
ORganizing Trust Model for Peer-to-Peer Systems”- IEEE TRANSACTIONS ON
DEPENDABLE AND SECURE COMPUTING, VOL. 10, NO. 1, JANUARY/FEBRUARY
2013.

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Sort a self organizing trust model for peer-to-peer systems

  • 1. SORT: A Self-Organizing Trust Model for Peer-to-Peer Systems ABSTRACT: Open nature of peer-to-peer systems exposes them to malicious activity. Building trust relationships among peers can mitigate attacks of malicious peers. This paper presents distributed algorithms that enable a peer to reason about trustworthiness of other peers based on past interactions and recommendations. Peers create their own trust network in their proximity by using local information available and do not try to learn global trust information. Two contexts of trust, service, and recommendation contexts are defined to measure trustworthiness in providing services and giving recommendations. Interactions and recommendations are evaluated based on importance, recentness, and peer satisfaction parameters. Additionally, recommender’s trustworthiness and confidence about a recommendation are considered while evaluating recommendations. Simulation experiments on a file sharing application show that the proposed model can mitigate attacks on 16 different malicious behavior models. In the experiments, good peers were able to form trust relationships in their proximity and isolate malicious peers. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
  • 2. EXISTING SYSTEM: In the existing system of an authority, a central server is a preferred way to store and manage trust information, e.g., eBay. The central server securely stores trust information and defines trust metrics. Since there is no central server in most P2P systems, peers organize themselves to store and manage trust information about each other. Management of trust information is dependent to the structure of P2P network. In distributed hash table (DHT) - based approaches, each peer becomes a trust holder by storing feedbacks about other peers. Global trust information stored by trust holders can be accessed through DHT efficiently. In unstructured networks, each peer stores trust information about peers in its neighborhood or peers interacted in the past. A peer sends trust queries to learn trust information of other peers. A trust query is either flooded to the network or sent to neighborhood of the query initiator. DISADVANTAGES OF EXISTING SYSTEM:  Calculated trust information is not global and does not reflect opinions of all peers.  Classifying peers as either trustworthy or untrustworthy is not sufficient in most cases. Metrics should have precision so peers can be ranked according to trustworthiness.  Trust models on P2P systems have extra challenges comparing to e-commerce platforms. Malicious peers have more attack opportunities in P2P trust models due to lack of a central authority  Five common attacks in P2P trust models: self-promoting, white-washing, slandering, orchestrated, and denial of service attacks. PROPOSED SYSTEM: In the proposed system, we introduce a Self-Organizing Trust model (SORT) that aims to decrease malicious activity in a P2P system by establishing trust relations among peers in their proximity. No a priori information or a trusted peer is used to leverage trust establishment. Peers do not try to collect trust information from all peers. Each peer develops its own local view of trust about the peers interacted in the past. In this way, good peers form dynamic trust
  • 3. groups in their proximity and can isolate malicious peers. Since peers generally tend to interact with a small set of peers forming trust relations in proximity of peers helps to mitigate attacks in a P2P system. ADVANTAGES OF PROPOSED SYSTEM: Recommendation-based attacks were contained except when malicious peers are in large numbers, e.g., 50 percent of all peers. Experiments on SORT show that good peers can defend themselves against malicious peers metrics let a peer assess trustworthiness of other peers based on local information. Service and recommendation contexts enable better measurement of trustworthiness in providing services and giving recommendations. SYSTEM ARCHITECTURE:
  • 4. ALGORITHMS USED: SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz
  • 5.  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above. REFERENCE: Ahmet Burak Can, Member, IEEE, and Bharat Bhargava, Fellow, IEEE-“SORT: A Self- ORganizing Trust Model for Peer-to-Peer Systems”- IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 10, NO. 1, JANUARY/FEBRUARY 2013.