基于社交信任模型的改进的Tor路由算法
首发时间:2019-01-11
摘要:在隐私安全愈发得到重视的今天,本文聚焦于目前最为流行的匿名通信系统-Tor,其本质是通过在志愿者搭建的路由节点间进行重路由而实现其匿名性。针对其在路由选择中的不足,表现在:对路由节点缺乏可信度管理而无法控制恶意节点被选中;基于带宽的节点选择策略使恶意节点被选中的概率大大增加。本文提出一种基于节点可信度的路由选择改进算法TDRS(Trust Degree based Routing Selection),该算法在节点间建立直接信任、组间信任以及基于前两项,通过信任扩 散算法SLTP(Social Link based Trust Propagate)推导而出的间接信任相结合的信任度传播模型,并将该模型与Tor路由节点结合,在Tor中生成路由节点信任度网络,基于该信任度网络进行路由节点选择,以降低恶意节点被选中的概率。本文基于真实社交数据训练节点信任度网络模型,在仿真平台Torps上部署Tor及Tor网络中真实运行的路由节点列表信息展开实验。实验结果表明,改进的路由算法对于抵抗大量恶意节点和相关性攻击有更好的匿名安全性。
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An improved Tor routing algorithm based on social trust model
Abstract:Today, as privacy security becomes more and more important, this paper focuses on Tor, the most popular anonymous communication system, which is essentially anonymized by rerouting between routing nodes built by volunteers. In view of its shortcomings in routing, it is manifested in the lack of credibility management for routing nodes and the inability to control malicious nodes being selected; the bandwidth-based node selection strategy greatly increases the probability of malicious nodes being selected. This paper presents an improved routing selection algorithm TDRS (Trust Degree based Routing Selection), which is based on node credibility.The algorithm establishes the trust propagation model of direct trust, group trust and indirect trust derived from the first two items based on trust diffusion algorithmSLTP(Social Link based Trust Propagate),Combining the model with the Tor routing node,In combination, a trust network of routing nodes is generated in Tor, and routing nodes are selected based on the trust network to reduce the probability of malicious nodes being selected. This paper trains trust network model based on the real social data, and deploys Tor and the list information of real running routing nodes in Tor network on the simulation platform Torps to expand the experiment.Experimental results show that the improved routing algorithm has better anonymous security for resisting a large number of malicious nodes and correlation attacks.
Keywords: Tor anonymous social network trust model
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