Primary facets of network intrusion detection systems include the collection, management, and analysis of intrusion data. In this paper, we provide an overview of an ongoing project at Radford University to investigate new and innovative approaches in these critical areas. In particular, we discuss using small, low cost embedded Linux devices as mobile, highly configurable, and collaborative sensors for the collection of the data. Since the data can be in massive quantities and its collection burdensome to the operational network, we also present the use of a wireless network for the transmission of the data to a separate server or management application for analysis, effectively offloading the data from and reducing the burden on the operational network. Finally, effective techniques for analysis need to be identified that will reduce false positive and false negative determinations of intrusions. We introduce our work in data mining techniques which seeks to improve accuracy in analysis.
The purpose of this paper is to compare thirteen Conceptual Frameworks (CFs) selected from among several categories of applicability to discrete-event simulation modeling. Each CF is briefly reviewed to provide the background information required for the comparison. Based on the insights gained in applying the CFs to the modeling of a complex traffic intersection system, the CFs are compared relative to their distinct characteristics and capabilities. Comparative comments are grouped according to the design guidance and implementation guidance features of the CFs. Conclusions highlight the inadequacies of the CFs and the importance of research in CF development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.