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Network intrusion model for analyzing intrusion patterns

Authors: Joo Beom Yoon; Eut Gyu Im; Jin Hyuk Kim; Seung-Kyu Park;

Network intrusion model for analyzing intrusion patterns

Abstract

As the development of internet, the risk of exposing to malicious intrusion via network grows higher and higher. To make it possible defense such a malicious intrusion, it is indispensable to simulate and analyze vulnerabilities of network. In this paper, we propose network intrusion model and intrusion scenario tree lor detecting and analyzing intrusion patterns and verify how it can be adopted to the simulation.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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