| 基于免疫学习的对等网络邻居节点选择方案 |
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| 引用本文： | 肖国荣,郜亚丽.基于免疫学习的对等网络邻居节点选择方案[J].计算机应用研究,2011,28(8):2935-2936. |
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| 作者姓名： | 肖国荣 郜亚丽 |
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| 作者单位： | 1. 广东金融学院计算机科学与技术系,广州,510521
2. 济源职业技术学院实验实训中心,河南济源,454650 |
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| 摘 要： | 文件污染是对等网络共享系统普遍存在的问题，一个好的邻居节点选择方案可以有效抑制污染文件的传播。设计了基于免疫学习的投票相似度计算方法和邻居节点选择方案，并采用自适应的阈值判断文件的可信性。仿真实验表明，本方案抑制了恶意节点传播污染文件的可能性，并具有较小的开销，具有一定的应用价值。
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| 关 键 词： | 对等网络 免疫学习 污染 邻居节点 |
Scheme of neighbor nodes selection for P2P network based on immunity-learning |
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| XIAO Guo-rong,GAO Ya-li.Scheme of neighbor nodes selection for P2P network based on immunity-learning[J].Application Research of Computers,2011,28(8):2935-2936. |
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| Authors: | XIAO Guo-rong GAO Ya-li |
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| Affiliation: | XIAO Guo-rong1,GAO Ya-li2(1.Dept.of Computer Science & Technology,Guangdong University of Finance,Guangzhou 510521,China,2.Experiments Training Center,Jiyuan Vocational & Technical College,Jiyuan Henan 454650,China) |
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| Abstract: | File pollution is a common problem in P2P. A good neighbor nodes selection algorithm can contain file pollution effectively. This paper designed the scheme of vote similarity and neighbor nodes selection based on immunity. Also,used adaptive threshold to decide the credibility of file. Simulation results show that the algorithm can shield against malicious nodes with lower communication costs. So it has good value for application. |
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| Keywords: | P2P(peer-to-peer) immunity-learning pollution neighbor nodes |
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