Computational Modeling and Mining of Trust and Reputation in Social Networks Based on Soft Computing Approach, M.Sc. Thesis Sharif University of Technology ; Azmi, Reza (Supervisor) ; Sedighi Moshkenani, Mohsen (Supervisor)
Abstract
Nowadays trust has become one of the main challenges of every online social network. The open and decentralized nature of Peer-to-Peer network makes it vulnerable to be exploited by malicious users to distribute tampered and harmful contents. We propose a dynamic computational trust model based on a neuro-fuzzy approach and implemented it on Gnutella network. The model is a novel application of control systems approach for evaluating trust and reputation in P2P networks. We utilize Local Linear Model Tree (LOLIMOT) to perform a nonlinear dynamic system identiffcation and thus to approximate trust. The performance of our reputation-based trust model is evaluated by simulation. We create a...
Cataloging briefComputational Modeling and Mining of Trust and Reputation in Social Networks Based on Soft Computing Approach, M.Sc. Thesis Sharif University of Technology ; Azmi, Reza (Supervisor) ; Sedighi Moshkenani, Mohsen (Supervisor)
Abstract
Nowadays trust has become one of the main challenges of every online social network. The open and decentralized nature of Peer-to-Peer network makes it vulnerable to be exploited by malicious users to distribute tampered and harmful contents. We propose a dynamic computational trust model based on a neuro-fuzzy approach and implemented it on Gnutella network. The model is a novel application of control systems approach for evaluating trust and reputation in P2P networks. We utilize Local Linear Model Tree (LOLIMOT) to perform a nonlinear dynamic system identiffcation and thus to approximate trust. The performance of our reputation-based trust model is evaluated by simulation. We create a...
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