[转载]A Tool for Statistical Detection of Faults in Internet Protocol Networks

信息来源：邪恶八进制信息安全团队（www.eviloctal.com）

Central to this research is that the class information we are analyzing is available without intervention on the participants of the network transactions, and, in reality, can be performed without their knowledge. This characteristic has the potential to allow Internet service providers or corporations the ability to identify threats without large-scale deployment of some kind of intrusion detection mechanism on each system. Furthermore combining the ability to identify existence and source of a network threat with common network hardware automatic configuration abilities allows for rapid reaction to attacks by shutting down connectivity to the originators of the exploit. This paper will detail the design of a set of tools – dubbed Culebra – capable of remotely diagnosing troubled networks. We will then simulate an attack on a network to gauge the effectiveness Culebra. Ultimately, the type of data gathered by these tools can be used to develop a database of attack patterns, which, in turn, could be used to proactively prevent assaults on networks from remote locations.