由于无线传感器网络不同于传统网络的特点,导致其很容易受到来自妥协节点的内部攻击。信任管理系统是防御无线传感器网络内部攻击的最有效方法。针对无线传感器网络节点信誉和信任的评估,我们改进了用于无线传感器网络的基于贝塔的信誉...由于无线传感器网络不同于传统网络的特点,导致其很容易受到来自妥协节点的内部攻击。信任管理系统是防御无线传感器网络内部攻击的最有效方法。针对无线传感器网络节点信誉和信任的评估,我们改进了用于无线传感器网络的基于贝塔的信誉系统BRSN(Beta Reputation System for Sensor Networks),提出了基于二项分布的无线传感器网络信任评估系统BTMS(Binomial-based Trust Management System)。BTMS基于对节点行为的监控,利用二项分布来描述节点信誉的分布,并进一步得到节点信任值,从而指导中继节点的选择,降低内部攻击的危害。实验结果表明,利用BTMS可以有效的防御来自妥协节点的内部攻击,提高网络安全性。展开更多
Because of some practical reasons, we suppose that the claim number of a given policyholder is a negative binomial distribution and the structure function of the portfolio is a Beta distribution, then we get a mixed n...Because of some practical reasons, we suppose that the claim number of a given policyholder is a negative binomial distribution and the structure function of the portfolio is a Beta distribution, then we get a mixed negative binomial distribution(i.e.negative binomial\|Beta distribution).The paper discusses the property of the mixed negative binomial distribution and its application to a set of practical data from insurance practice. The result shows that the mixed negative binomial distribution can fit the real observation of claim numbers very well. So we use this model to construct the optimal BMS to adjust the renewal premium of the policyholders. Compared with other BMS’s, this one is more feasible in practice.展开更多
文摘由于无线传感器网络不同于传统网络的特点,导致其很容易受到来自妥协节点的内部攻击。信任管理系统是防御无线传感器网络内部攻击的最有效方法。针对无线传感器网络节点信誉和信任的评估,我们改进了用于无线传感器网络的基于贝塔的信誉系统BRSN(Beta Reputation System for Sensor Networks),提出了基于二项分布的无线传感器网络信任评估系统BTMS(Binomial-based Trust Management System)。BTMS基于对节点行为的监控,利用二项分布来描述节点信誉的分布,并进一步得到节点信任值,从而指导中继节点的选择,降低内部攻击的危害。实验结果表明,利用BTMS可以有效的防御来自妥协节点的内部攻击,提高网络安全性。
文摘Because of some practical reasons, we suppose that the claim number of a given policyholder is a negative binomial distribution and the structure function of the portfolio is a Beta distribution, then we get a mixed negative binomial distribution(i.e.negative binomial\|Beta distribution).The paper discusses the property of the mixed negative binomial distribution and its application to a set of practical data from insurance practice. The result shows that the mixed negative binomial distribution can fit the real observation of claim numbers very well. So we use this model to construct the optimal BMS to adjust the renewal premium of the policyholders. Compared with other BMS’s, this one is more feasible in practice.
