A fuzzy approach for reputation management in Bittorrent P2P network

Mahapatra, Ansuman; Tarasia, Nachiketa; Ajay, Anuja; Ray, Soumya

doi:10.1109/icectech.2011.5941623

Cited by 3 publications

(2 citation statements)

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“…This is, by nature, a centralized approach which does not honor the social emphasis of a P2P network, and implies additional costs for both the platform operators and the users. The trust management angle to this solution would imply designing a social rating scheme, based on work done in the fields of collaborative filtering (Nauerz & Thompson, 2009;Alfimtsev, Sakulin, & Devyatkov, 2012) and trust management (Malinen & Ojala, 2011;Mahapatra, Tarasia, Ajay, & Ray, 2011), which allowed users to get involved in evaluating other users they knew and trusted.…”

Section: Discussionmentioning

confidence: 99%

Web Portal for Matching Loan Requests and Investment Offers in Peer-To-Peer Lending

Martinho

Reis

2013

International Journal of Web Portals

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Online Peer-To-Peer lending has seen some growing media attention since its recent creation. Nonetheless, the systems which provide deal brokerage in this context have yet to be given significant consideration within the scientific community. This paper is part of a broader effort to setup a Peer-to-Peer lending community in Portugal. This work focuses on solving the infrastructural problem of combining investment offers from potential lenders with loan requests from potential borrowers. The combination process must strive for an optimal result, which pleases lenders and borrowers alike, despite their opposing agendas. Simultaneously the combination result should also benefit the platform’s business model, so as to keep it sustainable and profitable. Several optimization metaheuristics, powered by a constraint programming module, were applied to efficiently explore the problem’s solution space and to find optimal solutions. The results achieved with this approach show how metaheuristic-driven optimization can be successfully applied to Peer-to-Peer lending combination problems.

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Section: Discussionmentioning

confidence: 99%

Web Portal for Matching Loan Requests and Investment Offers in Peer-To-Peer Lending

Martinho

Reis

2013

International Journal of Web Portals

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“…[20] calculates reputation of a node for a particular type of resource by taking the ratio of number of times this type of resource was served by that node to the number of times this type of resource was asked from that node. In Fuzzy-Trust [15], [21], nodes do fuzzy inference on parameters to calculate the trust score locally for another node 'x' and then aggregate it with trust scores of the node 'x' as received from other nodes using their weights. Peer can also give rank to the interacting nodes on the basis of normalized download volume received from them during a fixed period [22].…”

Section: Related Workmentioning

confidence: 99%