Browsing by Author "Chou, Ping-Hsien"

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A dynamic data driven-based semi-distributed reputation mechanism in unknown networks
(2015-10-01)
Lin, Szu-Yin
;
Chou, Ping-Hsien
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Trust is a crucial concern related to unknown networks. A mechanism that distinguishes trustworthy and untrustworthy nodes is essential. The effectiveness of the mechanism depends on the accuracy of a node\'s reputation. The dynamics of trust often occurs in a trusted network and causes intoxication and disguises of the nodes, resulting in abnormal behaviors. This study proposes a semi-distributed reputation mechanism based on a dynamic data-driven application system. This mechanism includes two reputations, local reputation (LRep) and global reputation (GRep). LRep is dynamically and selectively injected into a central controller, and this controller collects the injected data to compute GRep, which contains the neural network prediction method, and returns it to provide reference to the distributed nodes. The proposed mechanism focuses on dynamics of trust and the balance between distributed nodes and the central controller. Experimental results showed that GRep was computable with only 52.21% (average) LReps upload and that GRep increased or reduced by 26.5% (average) in a short period, demonstrating that the proposed mechanism effectively handles the problem of dynamics of trust. (C) 2015 Elsevier B.V. All rights reserved.
A Semi-Distributed Reputation Mechanism based on Dynamic Data-Driven Application System
(2014-01-01)
Lin, Szu-Yin
;
Chou, Ping-Hsien
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Trust is one of the important issues related to unknown networks. A mechanism which can distinguish a trustworthy node from an untrustworthy one is essential. The effectiveness of the mechanism depends on the accuracy of node\'s reputation. Dynamics of Trust often happens in a trusted network. It causes intoxication and disguise for nodes, resulting in abnormal behaviors. This paper proposes a semi-distributed reputation mechanism based on Dynamic Data-Driven Application System. It focuses on the Dynamics of Trust and the balance between Distributed Nodes and the Central Controller. The experimental results show that the proposed mechanism upload only averages 52.21% of the data to compare with all of uploads. It can also effectively handle the problem of Dynamics of Trust.