基于节点蓄意攻击的因特网鲁棒性研究

现实网络遭受蓄意攻击的鲁棒性一直是网络科学研究中的重要问题。本文通过考虑实际的因特网，采用节点度的幂函数来定义节点的初始负载，构建局域负载重分配下的级联模型，比较2种不同攻击策略对网络鲁棒性的影响，并研究蓄意攻击条件下重要网络参数对网络鲁棒性的影响。通过数值仿真实验，得出以下结论：1)当初始负载参数大于某一个阈值时，攻击高负载节点的确比攻击低负载节点对网络的危害更大，但当初始负载参数小于该阈值时，攻击低负载节点反而能更有效地破坏网络；2)节点的初始负载参数越小，容量参数越大，网络的鲁棒性越强。本文研究结果可为因特网中级联故障的控制和防御提供参考。

Research on Internet Robustness Based on Node Intentional Attacks

The robustness of real networks to deliberate attacks has always been an important issue in network science. By considering the actual Internet, the power function of node degree is used to define the initial load of nodes, and the cascading model under local load redistribution is constructed. The effects of two different attack strategies on network robustness are compared, and the influence of important network parameters on network robustness under intentional attack is studied. Through the numerical simulation experiment, the following conclusions are drawn: 1) When the initial load parameter is greater than a certain threshold, attacking high load nodes does harm to the network more than attacking low load nodes， but when the initial load parameter is less than the threshold, attacking low load nodes can destroy the network more effectively； 2) The smaller the initial load parameter, the larger the capacity parameter of a node, the stronger the robustness of the network. The research results of this paper can provide reference for the control and defense of cascading failures on the Internet.