An analyzing model of overflowed datagram for high-speed networks

Tianqi Yang · Journal of Chengdu University of Information Technology · 2006

The matching rules and the analyzed datagram are both divided into the online detected part and the offline one.Some less important data can be selected to overflow deliberately in order to avoid the overflow of the important data at random.Simultaneously the overflowed data is stored in a file to be analyzed later.By this means not only the sneak pasted intrusive data is reduced but also the analyzing capability of the system is enhanced without upgrading the hardware.

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