This paper presents SORT (Self-Organizing Trust), a model for building trust relationships among peers in peer-to-peer (P2P) systems. SORT uses local information from past interactions and recommendations to help peers assess the trustworthiness of other peers in their proximity. It defines two contexts to measure trust - service context for service provision and recommendation context for recommendation trustworthiness. Peers develop their own local views of trust rather than trying to collect global information. Simulation experiments show SORT can help isolate malicious peers and mitigate various attack behaviors in P2P file sharing.
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JAVA 2013 IEEE NETWORKSECURITY PROJECT SORT: A Self-ORganizing Trust Model fo...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Making Trust Relationship For Peer To Peer System With Secure ProtocolIJMER
In the 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 trust worthiness 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. So, neighbouring node will give the recommendation to peer. Based on the
recommendation only Peer decides whether the node is good (or) malicious. Find the node is
malicious node means peer will not interact with malicious node. Isolate the malicious node from the
network. Find the node is good means peer interact with good peer. Peer stores a separate history of
interactions for each Acquaintance. This paper also discuss the malicious threats, privacy concerns,
and security risks of three commonpeer-to-peer network systems that are gaining popularity today.
The malicious threats discussed willinclude how malicious threats can harness existing peer-to-peer
networks, and how peer-to-peernetworking provides an additional (potentially unprotected) vector of
delivery for malicious code.
IMPROVING HYBRID REPUTATION MODEL THROUGH DYNAMIC REGROUPINGijp2p
Peer-to-Peer (P2P) systems have the ability to bond with millions of clients in business and knowledge
scenario. The mechanism that leads users to distribute files without the need of centralized servers has
achieved wide recognition among internet users. This also permits for a range of applications further than
simple file sharing. he main problem lies in the fact that peers have to customarily intermingle with
mysterious peers in the absence of trusted third parties. Usually the lack of incentives often makes these
strange peers to act as freeriders and thus reduce the system performance. The trustworthiness among
peers is portrayed by applying the knowledge obtained as a result of reputation mechanisms. This paper
endows with a new reputation model in association with a detailed survey of diverse reputation models. The
proposed model suggests a hybrid reputation model through dynamic regrouping..
Trust Based Content Distribution for Peer-ToPeer Overlay NetworksIJNSA Journal
In peer-to-peer content distribution the lack of a central authority makes authentication difficult. Without authentication, adversary nodes can spoof identity and falsify messages in the overlay. This enables malicious nodes to launch man-in-the-middle or denial-of-service attacks. In this paper, we present a trust based content distribution for peer-to-peer overlay networks, which is built on the trust management scheme. The main concept is, before sending or accepting the traffic, the trust of the peer must be validated. Based on the success of data delivery and searching time, we calculate the trust index of a node. Then the aggregated trust index of the peers whose value is below the threshold value is considered as distrusted and the corresponding traffic is blocked. By simulation results we show that our proposed scheme achieves increased success ratio with reduced delay and drop.
JAVA 2013 IEEE NETWORKSECURITY PROJECT SORT: A Self-ORganizing Trust Model fo...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Making Trust Relationship For Peer To Peer System With Secure ProtocolIJMER
In the 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 trust worthiness 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. So, neighbouring node will give the recommendation to peer. Based on the
recommendation only Peer decides whether the node is good (or) malicious. Find the node is
malicious node means peer will not interact with malicious node. Isolate the malicious node from the
network. Find the node is good means peer interact with good peer. Peer stores a separate history of
interactions for each Acquaintance. This paper also discuss the malicious threats, privacy concerns,
and security risks of three commonpeer-to-peer network systems that are gaining popularity today.
The malicious threats discussed willinclude how malicious threats can harness existing peer-to-peer
networks, and how peer-to-peernetworking provides an additional (potentially unprotected) vector of
delivery for malicious code.
IMPROVING HYBRID REPUTATION MODEL THROUGH DYNAMIC REGROUPINGijp2p
Peer-to-Peer (P2P) systems have the ability to bond with millions of clients in business and knowledge
scenario. The mechanism that leads users to distribute files without the need of centralized servers has
achieved wide recognition among internet users. This also permits for a range of applications further than
simple file sharing. he main problem lies in the fact that peers have to customarily intermingle with
mysterious peers in the absence of trusted third parties. Usually the lack of incentives often makes these
strange peers to act as freeriders and thus reduce the system performance. The trustworthiness among
peers is portrayed by applying the knowledge obtained as a result of reputation mechanisms. This paper
endows with a new reputation model in association with a detailed survey of diverse reputation models. The
proposed model suggests a hybrid reputation model through dynamic regrouping..
Trust Based Content Distribution for Peer-ToPeer Overlay NetworksIJNSA Journal
In peer-to-peer content distribution the lack of a central authority makes authentication difficult. Without authentication, adversary nodes can spoof identity and falsify messages in the overlay. This enables malicious nodes to launch man-in-the-middle or denial-of-service attacks. In this paper, we present a trust based content distribution for peer-to-peer overlay networks, which is built on the trust management scheme. The main concept is, before sending or accepting the traffic, the trust of the peer must be validated. Based on the success of data delivery and searching time, we calculate the trust index of a node. Then the aggregated trust index of the peers whose value is below the threshold value is considered as distrusted and the corresponding traffic is blocked. By simulation results we show that our proposed scheme achieves increased success ratio with reduced delay and drop.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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A Reliable Peer-to-Peer Platform for Adding New Node Using Trust Based Model IJECEIAES
In order to evaluate the trustworthiness of participating peers in unstructured peer-to-peer networks, Reputation aggregation methods are used in this method. Each and every peer of the network will collect the local scores of each transaction and will compute global scores by aggregating all the local scores with the help of global scores, each individual peer can interact with its suitable peers. But the existing method will not consider the score of the new peer. In this condition, requests are handled by existing peers who leads to failure in downloading process. To rectify this, NP-TRUST model is used to distribute the request to all peers including the newly joined peers. The proposed method is compared with gossip and DFR-TRUST model in Transaction Success rate and variation in file request.
Reputation-Based Consensus for Blockchain Technology in Smart GridIJNSA Journal
Accurate and thorough measurement of all nodes’ trustworthiness should create a safer network environment. We designed a blockchain-based, completely self-operated reputation system, R360, to enhance network security in decentralized network. R360 is a multi-factor measurement on the reputation of all nodes in the network. Specifically, a node’s function, defense capability, quality of service provided, availability, malicious behavior, and resources are evaluated, providing a more accurate picture about a node’s trustworthiness, which in turn should enhance the security of blockchain operations in a non-trust environment. Our design has been implemented on a single-machine, simulated setting, which demonstrates that, comparing to systems with few dimensions, R360’s consensus took less time while at the same time providing better security to the system. Further security analysis shows that our design can defend common security attacks on reputation systems. Such a blockchain-based, self-operated reputation system could be used to manage smat grids for more efficient energy production and delivery.
An exaustive survey of trust models in p2 p networkijwscjournal
Most of the peers accessing the services are under the assumption that the service accessed in a P2P
network is utmost secured. By means of prevailing hard security mechanisms, security goals like
authentication, authorization, privacy, non repudiation of services and other hard security issues are
resolved. But these mechanisms fail to provide soft security. An exhaustive survey of existing trust and
reputation models in P2P network regarding service provisioning is presented and challenges are listed.
Trust issues like trust bootstrapping, trust evidence procurement, trust assessment, trust interaction
outcome evaluation and other trust based classification of peer’s behavior into trusted,, inconsistent, un
trusted, malicious, betraying, redemptive are discussed,
A computational dynamic trust model for user authorizationKamal Spring
Development of authorization mechanisms for secure information access by a large community of users in an open environment is an important problem in the ever-growing Internet world. In this paper we propose a computational dynamic trust model for user authorization, rooted in findings from social science. Unlike most existing computational trust models, this model distinguishes trusting belief in integrity from that in competence in different contexts and accounts for subjectivity in the evaluation of a particular trustee by different trusters. Simulation studies were conducted to compare the performance of the proposed integrity belief model with other trust models from the literature for different user behavior patterns. Experiments show that the proposed model achieves higher performance than other models especially in predicting the behavior of unstable users.
An efficient and trustworthy p2 p and social network integrated file sharing ...LeMeniz Infotech
An efficient and trustworthy p2 p and social network integrated file sharing system
Do Your Projects With Technology Experts
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A MALICIOUS USERS DETECTING MODEL BASED ON FEEDBACK CORRELATIONSIJCNC
The trust and reputation models were introduced to restrain the impacts caused by rational but selfish
peers in P2P streaming systems. However, these models face with two major challenges from dishonest
feedback and strategic altering behaviors. To answer these challenges, we present a global trust model
based on network community, evaluation correlations, and punishment mechanism. We also propose a
two-layered overlay to provide the function of peers’ behaviors collection and malicious detection.
Furthermore, we analysis several security threats in P2P streaming systems, and discuss how to defend
with them by our trust mechanism. The simulation results show that our trust framework can successfully
filter out dishonest feedbacks by using correlation coefficients. It can effectively defend against the
security threats with good load balance as well.
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
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Sort a self o rganizing 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.
EXISTING SYSTEM:
2. 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.
3. 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
4. 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:
6. 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.
7. 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.