Research on Intrusion Detection Method Based on Neural Network

Xu, Chi; Zhang, Wen Fang

doi:10.4028/www.scientific.net/AMR.403-408.1483

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Extended Finite Time Inverse Optimal Control of Nonlinear Systems
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HomeAdvanced Materials ResearchMEMS, NANO and Smart SystemsResearch on Intrusion Detection Method Based on...

Research on Intrusion Detection Method Based on Neural Network

Abstract:

The research of this dissertation focuses on the quantitative methodologies of the network security assessment. So the dissertation gives the term “Model-based network security risk assessment” a more meaningful definition. The methodology called a model-based will use one network security analysis model to design the scenarios of threatens according to the Patterns behaviors of vulnerabilities and threatens in the network. And then the risk assessment will be done under those scenarios. Following this new definition. The dissertation Proposes a Component-centric Access Graph Based Network Security Risk Assessment Model (Oc-AGNSRAM).

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Main Theme:

MEMS, NANO and Smart Systems

Edited by:

Li Yuan

Pages:

1483-1486

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.1483

Citation:

C. Xu and W. F. Zhang, "Research on Intrusion Detection Method Based on Neural Network", Advanced Materials Research, Vols. 403-408, pp. 1483-1486, 2012

Online since:

November 2011

Authors:

Chi Xu, Wen Fang Zhang

Keywords:

Access Control (AC), Intrusion Detection, Neural Network (NN)

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References

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