— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of web us...
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
: The success and the acceptance of intrusion detection systems essentially depend on the accuracy of their analysis. Inaccurate signatures strongly trigger false alarms. In practi...
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...