The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pembentukan organisasi maya berasaskan reputasi adaptif baru dicadangkan. Ia menghalang prestasi buruk secara berkesan berdasarkan pertimbangan pengalaman global penilai dan menilai hubungan kepercayaan langsung antara dua nod grid dengan tepat dengan merujuk nilai amanah sebelumnya secara rasional. Ia juga merujuk dan menambah baik proses penilaian reputasi dalam model PathTrust dengan mengambil kira hubungan kepercayaan antara organisasi dan menggabungkannya dengan kepercayaan langsung dan disyorkan dengan cara yang wajar, yang menjadikan algoritma lebih teguh terhadap serangan pakatan sulit. Selain itu, algoritma yang dicadangkan mempertimbangkan perspektif pencipta VO dan mengambil perkhidmatan VO yang diperlukan sebagai salah satu kriteria penilaian terperinci yang paling penting, yang menjadikan algoritma lebih sesuai untuk membina VO dalam persekitaran grid yang merangkumi organisasi autonomi. Keputusan simulasi menunjukkan bahawa algoritma kami menghalang pelaku yang berprestasi buruk dan menentang serangan transaksi palsu dan serangan mulut kesat dengan berkesan. Ia memberikan kelebihan yang jelas dalam reka bentuk infrastruktur VO.
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Salinan
Yongrui CUI, Mingchu LI, Yizhi REN, Kouichi SAKURAI, "An Adaptive Reputation-Based Algorithm for Grid Virtual Organization Formation" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 5, pp. 1339-1346, May 2009, doi: 10.1587/transfun.E92.A.1339.
Abstract: A novel adaptive reputation-based virtual organization formation is proposed. It restrains the bad performers effectively based on the consideration of the global experience of the evaluator and evaluates the direct trust relation between two grid nodes accurately by consulting the previous trust value rationally. It also consults and improves the reputation evaluation process in PathTrust model by taking account of the inter-organizational trust relationship and combines it with direct and recommended trust in a weighted way, which makes the algorithm more robust against collusion attacks. Additionally, the proposed algorithm considers the perspective of the VO creator and takes required VO services as one of the most important fine-grained evaluation criterion, which makes the algorithm more suitable for constructing VOs in grid environments that include autonomous organizations. Simulation results show that our algorithm restrains the bad performers and resists against fake transaction attacks and badmouth attacks effectively. It provides a clear advantage in the design of a VO infrastructure.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1339/_p
Salinan
@ARTICLE{e92-a_5_1339,
author={Yongrui CUI, Mingchu LI, Yizhi REN, Kouichi SAKURAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Adaptive Reputation-Based Algorithm for Grid Virtual Organization Formation},
year={2009},
volume={E92-A},
number={5},
pages={1339-1346},
abstract={A novel adaptive reputation-based virtual organization formation is proposed. It restrains the bad performers effectively based on the consideration of the global experience of the evaluator and evaluates the direct trust relation between two grid nodes accurately by consulting the previous trust value rationally. It also consults and improves the reputation evaluation process in PathTrust model by taking account of the inter-organizational trust relationship and combines it with direct and recommended trust in a weighted way, which makes the algorithm more robust against collusion attacks. Additionally, the proposed algorithm considers the perspective of the VO creator and takes required VO services as one of the most important fine-grained evaluation criterion, which makes the algorithm more suitable for constructing VOs in grid environments that include autonomous organizations. Simulation results show that our algorithm restrains the bad performers and resists against fake transaction attacks and badmouth attacks effectively. It provides a clear advantage in the design of a VO infrastructure.},
keywords={},
doi={10.1587/transfun.E92.A.1339},
ISSN={1745-1337},
month={May},}
Salinan
TY - JOUR
TI - An Adaptive Reputation-Based Algorithm for Grid Virtual Organization Formation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1339
EP - 1346
AU - Yongrui CUI
AU - Mingchu LI
AU - Yizhi REN
AU - Kouichi SAKURAI
PY - 2009
DO - 10.1587/transfun.E92.A.1339
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2009
AB - A novel adaptive reputation-based virtual organization formation is proposed. It restrains the bad performers effectively based on the consideration of the global experience of the evaluator and evaluates the direct trust relation between two grid nodes accurately by consulting the previous trust value rationally. It also consults and improves the reputation evaluation process in PathTrust model by taking account of the inter-organizational trust relationship and combines it with direct and recommended trust in a weighted way, which makes the algorithm more robust against collusion attacks. Additionally, the proposed algorithm considers the perspective of the VO creator and takes required VO services as one of the most important fine-grained evaluation criterion, which makes the algorithm more suitable for constructing VOs in grid environments that include autonomous organizations. Simulation results show that our algorithm restrains the bad performers and resists against fake transaction attacks and badmouth attacks effectively. It provides a clear advantage in the design of a VO infrastructure.
ER -