一种基于服务期望的P2P动态信任模型
发布时间：2018-08-27 15:57
【摘要】：为解决现有信任模型在节点行为改变时动态适应能力不足的问题,以及更好地应对网络中多样化的恶意攻击行为,提出一种P2P动态信任模型。引入能力评价、相似度、反馈可信度、服务期望、近期信任和历史信任等参数计算节点信任度,并借鉴计算机网络中拥塞控制思想缓慢上升、快速下降的原则,在反馈可信度的计算过程中加入奖惩机制,通过惩罚因子和时间衰减函数动态调节上述参数,提高信任模型的动态适应和抗攻击能力。实验结果表明,该模型能够真实地模拟现实信任关系,具有更好的动态适应能力,并可有效地抵御恶意节点威胁。
[Abstract]:A P2P dynamic trust model is proposed to solve the problem of insufficient dynamic adaptability of existing trust models when the node behavior changes and to better deal with various malicious attacks in the network. Ability evaluation, similarity, feedback credibility, service expectation, recent trust and historical trust are introduced to calculate node trust, and the principle of slow rise and rapid decline of congestion control thought in computer network is used for reference. In order to improve the dynamic adaptability and anti-attack ability of the trust model, the reward and punishment mechanism is added to the calculation process of feedback credibility, and the above parameters are dynamically adjusted by the penalty factor and the time attenuation function. The experimental results show that the model can simulate the real trust relationship and has better dynamic adaptability and can effectively resist the threat of malicious nodes.
【作者单位】： 南京邮电大学计算机学院;南京邮电大学江苏省无线传感网高技术研究重点实验室;
【基金】：国家自然科学青年基金资助项目“移动计算环境下新型僵尸网络分析与检测方法研究”(61202353)
【分类号】：TP393.08
[Abstract]:A P2P dynamic trust model is proposed to solve the problem of insufficient dynamic adaptability of existing trust models when the node behavior changes and to better deal with various malicious attacks in the network. Ability evaluation, similarity, feedback credibility, service expectation, recent trust and historical trust are introduced to calculate node trust, and the principle of slow rise and rapid decline of congestion control thought in computer network is used for reference. In order to improve the dynamic adaptability and anti-attack ability of the trust model, the reward and punishment mechanism is added to the calculation process of feedback credibility, and the above parameters are dynamically adjusted by the penalty factor and the time attenuation function. The experimental results show that the model can simulate the real trust relationship and has better dynamic adaptability and can effectively resist the threat of malicious nodes.
【作者单位】： 南京邮电大学计算机学院;南京邮电大学江苏省无线传感网高技术研究重点实验室;
【基金】：国家自然科学青年基金资助项目“移动计算环境下新型僵尸网络分析与检测方法研究”(61202353)
【分类号】：TP393.08
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