Identifying critical autonomous systems in the Internet
Identifying critical autonomous systems in the Internet
复制标题
识别互联网中的关键自治系统
DOI：
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发表时间：
2018
影响因子：
3.3
通讯作者：
M. E. Tozal
中科院分区：
文献类型：
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作者：
A. Nur;M. E. Tozal
互联网不仅便利了我们的日常活动，如通信、娱乐和购物，而且还作为许多关键服务的使能技术，包括金融、制造业、医疗保健和交通运输。另一方面，广泛的攻击针对其通信基础设施，以禁用或破坏网络连接和流量，直到恢复过程发生。攻击Internet中的所有自治系统（ase）通常超出了攻击者的能力。因此，对攻击者来说，针对少数影响最大的ase是最好的策略。同样，对于网络从业者来说，识别、加强和保护这些关键的ase以减轻攻击的影响也很重要。本研究引入IP地址空间路径应力中心性这一直观有效的度量方法来评估和识别互联网中的关键网络应用。我们将IP地址空间路径应力中心性与三种众所周知且广泛使用的中心性度量进行了比较，即客户锥大小、节点度和中间度。我们证明了所提议的措施结合了业务关系和IP地址空间，以实现更好的措施来识别互联网中的关键应用程序。
The Internet not only facilitates our daily activities, such as communication, entertainment and shopping but also serves as the enabling technology for many critical services, including finance, manufacturing, healthcare and transportation. On the other hand, a wide spectrum of attacks targets its communication infrastructure to disable or disrupt the network connectivity and traffic flow until recovery processes take place. Attacking all autonomous systems (ASes) in the Internet is typically beyond the capability of an adversary. Therefore, targeting a small number of ASes which results in the highest impact is the best strategy for attackers. Similarly, it is important for network practitioners to identify, fortify and secure those critical ASes to mitigate the impact of the attacks. In this study we introduce an intuitive and effective measure, IP address spatial path stress centrality, to assess and identify the critical ASes in the Internet. We compare IP address spatial path stress centrality to the three well-known and widely used centrality measures, namely customer-cone size, node degree and betweenness. We demonstrate that the proposed measure incorporates business relations and IP address spaces to achieve a better measure for identifying the critical ASes in the Internet.