Graph similarity metrics for assessing temporal changes in attack surface of dynamic networks
详细信息    查看全文
文摘

Measuring temporal variation in network attack surface is a key problem in dynamic networks.

We propose to use graph distance metrics based on the Maximum Common Subgraph (MCS) and Graph Edit Distance (GED).

We show test results on a set of 3 different network models.

We compare the MCS and GED based metrics performance with the previously proposed 9 attack graph based metrics.

We present the in-depth analysis of the obtained results.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700