
FOLLOWUS
1College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
2College of Computer Science and Information Technology, Daqing Normal University, Daqing 163712, China
3Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
4College of Tourism, Guilin University of Technology, Guilin 541001, China
E-mail:meijuan.jia@hrbeu.edu.cn
E-mail:linjunyu@iie.ac.cn
收稿:2016-09-08,
录用:2016-11-20,
纸质出版:2017-04
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贾美娟, 王慧强, 林俊宇, 等. DGTM:基于动态分组的移动P2P网络信任模型[J]. 信息与电子工程前沿(英文), 2017,18(4):559-569.
Mei-juan JIA, Hui-qiang WANG, Jun-yu LIN, et al. DGTM: a dynamic grouping based trust model for mobile peer-to-peer networks#[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(4): 559-569.
贾美娟, 王慧强, 林俊宇, 等. DGTM:基于动态分组的移动P2P网络信任模型[J]. 信息与电子工程前沿(英文), 2017,18(4):559-569. DOI: 10.1631/FITEE.1601535.
Mei-juan JIA, Hui-qiang WANG, Jun-yu LIN, et al. DGTM: a dynamic grouping based trust model for mobile peer-to-peer networks#[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(4): 559-569. DOI: 10.1631/FITEE.1601535.
移动对等网络的特征,如有限带宽、动态拓扑、对等节点的异质性、有限资源等,给其带来了额外挑战。为促进移动对等网中节点之间的交易,信任管理成为一个重要研究内容。然而,在移动对等网络中,节点频繁地加入和离开网络,网络拓扑经常发生变化,节点之间很难建立长期有效的信任关系。为解决这个问题,我们首次提出基于动态分组的信任管理模型(Dynamic grouping based trust model
DGTM),该模型通过节点的兴趣对节点进行分类,具有相同或者相似兴趣的节点被分在同一组内,保持稳定的信任关系且彼此分享资源。模拟实验验证表明,我们提出的基于动态分组的信任管理模型能够获得较高的成功交易率和较好的通信开销。
The special characteristics of the mobile environment
such as limited bandwidth
dynamic topology
heterogeneity of peers
and limited power
pose additional challenges on mobile peer-to-peer (MP2P) networks. Trust management becomes an essential component of MP2P networks to promote peer transactions. However
in an MP2P network
peers frequently join and leave the network
which dynamically changes the network topology. Thus
it is difficult to establish long-term and effective trust relationships among peers. In this paper
we propose a dynamic grouping based trust model (DGTM) to classify peers. A group is formed according to the peers' interests. Within a group
mobile peers share resources and tend to keep stable trust relationships. We propose three peer roles (super peers
relay peers
and ordinary peers) and two novel trust metrics (intragroup trust and intergroup trust). The two metrics are used to accurately measure the trust between two peers from the same group or from different groups. Simulations illustrate that our proposed DGTM always achieves the highest successful transaction rate and the best communication overhead under different circumstances. special characteristics of the mobile environment
such as limited bandwidth
dynamic topology
heterogeneity of peers
and limited power
pose additional challenges on mobile peer-to-peer (MP2P) networks. Trust management becomes an essential component of MP2P networks to promote peer transactions. However
in an MP2P network
peers frequently join and leave the network
which dynamically changes the network topology. Thus
it is difficult to establish long-term and effective trust relationships among peers. In this paper
we propose a dynamic grouping based trust model (DGTM) to classify peers. A group is formed according to the peers' interests. Within a group
mobile peers share resources and tend to keep stable trust relationships. We propose three peer roles (super peers
relay peers
and ordinary peers) and two novel trust metrics (intragroup trust and intergroup trust). The two metrics are used to accurately measure the trust between two peers from the same group or from different groups. Simulations illustrate that our proposed DGTM always achieves the highest successful transaction rate and the best communication overhead under different circumstances.
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