公开(公告)号：US20160065620A1

公开(公告)日：2016-03-03

申请号：US14627736

申请日：2015-02-20

Applicant: THE REGENTS OF THE UNIVERSITY OF MICHIGAN

Inventor： Mingyan Liu ,  Michael Bailey ,  Manish Karir ,  Jing Zhang ,  Zakir Durumeric

IPC: H04L29/06

CPC classification number: H04L63/1408 ,  H04L63/1441

Abstract: Network security and robustness is analyzed by developing correlations among network maliciousness observations to determine attack susceptibility. Network traffic is analyzed at the autonomous system (AS) level, among connected Internet Protocol (IP) routing prefixes, to identify these observations. The traffic is monitored for any of a number of specified mismanagement metrics. Correlations among these metrics are determined and a unified network mismanagement metric is developed, indicating network susceptibility to potentially malicious attack.

Abstract translation: 通过网络恶意观察之间的相关性来分析网络安全性和鲁棒性，以确定攻击易感性。 在互联网协议（IP）路由前缀的自治系统（AS）级别分析网络流量，以识别这些观察结果。 对于指定的管理不善指标中的任何一个，监视流量。 确定这些度量之间的相关性，并开发出统一的网络管理不足度量，指示网络对潜在恶意攻击的敏感性。

公开(公告)号：US09729558B2

公开(公告)日：2017-08-08

申请号：US14627736

申请日：2015-02-20

Applicant: THE REGENTS OF THE UNIVERSITY OF MICHIGAN

Inventor： Mingyan Liu ,  Michael Bailey ,  Manish Karir ,  Jing Zhang ,  Zakir Durumeric

IPC: H04L29/06

CPC classification number: H04L63/1408 ,  H04L63/1441

Abstract: Network security and robustness is analyzed by developing correlations among network maliciousness observations to determine attack susceptibility. Network traffic is analyzed at the autonomous system (AS) level, among connected Internet Protocol (IP) routing prefixes, to identify these observations. The traffic is monitored for any of a number of specified mismanagement metrics. Correlations among these metrics are determined and a unified network mismanagement metric is developed, indicating network susceptibility to potentially malicious attack.