[1]王健,曹晓梅. 移动P2P环境下基于社会信任补充的信任模型[J].计算机技术与发展,2015,25(09):134-138.
　WANG Jian,CAO Xiao-mei. A Trust Model Based on Social Trust Supplement for MP2 P Networks[J].,2015,25(09):134-138.
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 移动P2P环境下基于社会信任补充的信任模型()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年09期
页码:
134-138
栏目:
安全与防范
出版日期:
2015-09-10

文章信息/Info

Title:
 A Trust Model Based on Social Trust Supplement for MP2 P Networks
文章编号:
1673-629X（2015)09-0134-05
作者:
 王健; 曹晓梅
 1.南京邮电大学 计算机与软件学院；2. 江苏无线传感网高技术研究重点实验室；3.宽带无线通信与传感网技术教育部重点实验室
Author(s):
 WANG Jian; CAO Xiao-mei
关键词:
 ; 移动P2 P; 社会信任; 高度动态性; 余弦相似度; 共谋攻击
Keywords:
 ; Mobile P2P; social trust; high dynamic; cosine similarity; collusion attack
分类号:
TP309
文献标志码:
A
摘要:
 随着移动终端的普及，移动P2 P网络中所面临的虚假文件传播，恶意节点共谋攻击等安全问题日益严重，因此，需要有效的信任机制来保证移动P2 P网络的安全性。文中提出了一种基于社会信任补充的信任模型。该模型针对移动P2 P网络中节点的高度动态性，参考人类社交网络，在节点历史交易信息不能获取时采用节点的社会信任作为补充，以此来评估节点的可信程度；同时引入交易速率作为交易失败的风险因子；并且利用向量描述节点之间的熟悉程度，通过计算向量余弦相似度，筛选出可靠的推荐节点，随后综合所有可信推荐节点的交易次数和交易满意次数，从而保证评价的稳定性。通过仿真的实验结果表明，该模型能够有效提高文件下载成功率并能够抵抗恶意节点的共谋攻击。
Abstract:
 With the popularity of the mobile devices,the security problems about the spread of the false documents and the attack of mali-cious nodes in the Mobile P2P networks become more and more serious,then need an effective trust mechanism to protect the MP2P net-work. A trust model based on social trust as supplement is proposed. This model aims at the high dynamic characteristic of nodes in MP2P network and consuls social networks. While the trading history information of the nodes cannot be acquired,the model will use the social trust of the nodes as supplement to evaluate the node’ s reliability. The model also introduces the rate of transaction as the risk factor of the transaction failure. Use vector to describe the degree of the familiarity between the nodes and compute the cosine similarity to screen out reliable nodes,and then compute the trade times of the reliable nodes to ensure that the evaluation is stable. The simulation result proves that the model can promote the success rate of file downloads and defend the collusion attack of malicious nodes effectively.

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更新日期/Last Update: 2015-10-16