IEICE TRANSACTIONS on Information
The Chain Effect for the Reputation-Based Trust Model in Peer-to-Peer Computing
Summary :
This letter analyzes a resource chain trust model for P2P reputation-based systems. Many researchers have given a lot of efforts to reputation-based system area and some of them have made good theoretical models. Problems are to spread malicious contents whereas the remark that such models only concentrate on the relationship between the node and its direct neighbors is still controversial. To solve the problems, we introduced the RCM (Resource Chain Model) and the Enhanced RCM. In this letter, we analyze the models and then show usage of our models can help us to find the best and safest location efficiently and decrease the number of malicious transaction.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.1 pp.177-180
- Publication Date
- 2012/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.177
- Type of Manuscript
- Special Section LETTER (Special Section on Trust, Security and Privacy in Computing and Communication Systems)
- Category
- Privacy
Authors
Keyword
Latest Issue
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Sinjae LEE, Wonjun LEE, "The Chain Effect for the Reputation-Based Trust Model in Peer-to-Peer Computing" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 1, pp. 177-180, January 2012, doi: 10.1587/transinf.E95.D.177.
Abstract: This letter analyzes a resource chain trust model for P2P reputation-based systems. Many researchers have given a lot of efforts to reputation-based system area and some of them have made good theoretical models. Problems are to spread malicious contents whereas the remark that such models only concentrate on the relationship between the node and its direct neighbors is still controversial. To solve the problems, we introduced the RCM (Resource Chain Model) and the Enhanced RCM. In this letter, we analyze the models and then show usage of our models can help us to find the best and safest location efficiently and decrease the number of malicious transaction.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.177/_p
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@ARTICLE{e95-d_1_177,
author={Sinjae LEE, Wonjun LEE, },
journal={IEICE TRANSACTIONS on Information},
title={The Chain Effect for the Reputation-Based Trust Model in Peer-to-Peer Computing},
year={2012},
volume={E95-D},
number={1},
pages={177-180},
abstract={This letter analyzes a resource chain trust model for P2P reputation-based systems. Many researchers have given a lot of efforts to reputation-based system area and some of them have made good theoretical models. Problems are to spread malicious contents whereas the remark that such models only concentrate on the relationship between the node and its direct neighbors is still controversial. To solve the problems, we introduced the RCM (Resource Chain Model) and the Enhanced RCM. In this letter, we analyze the models and then show usage of our models can help us to find the best and safest location efficiently and decrease the number of malicious transaction.},
keywords={},
doi={10.1587/transinf.E95.D.177},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - The Chain Effect for the Reputation-Based Trust Model in Peer-to-Peer Computing
T2 - IEICE TRANSACTIONS on Information
SP - 177
EP - 180
AU - Sinjae LEE
AU - Wonjun LEE
PY - 2012
DO - 10.1587/transinf.E95.D.177
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2012
AB - This letter analyzes a resource chain trust model for P2P reputation-based systems. Many researchers have given a lot of efforts to reputation-based system area and some of them have made good theoretical models. Problems are to spread malicious contents whereas the remark that such models only concentrate on the relationship between the node and its direct neighbors is still controversial. To solve the problems, we introduced the RCM (Resource Chain Model) and the Enhanced RCM. In this letter, we analyze the models and then show usage of our models can help us to find the best and safest location efficiently and decrease the number of malicious transaction.
ER -
English
