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The optimized attribute attack graph based on APT attack stage model

Authors: null Meicong Li; null Wei Huang; null Yongbin Wang; null Wenqing Fan;

The optimized attribute attack graph based on APT attack stage model

Abstract

Recent years people have witnessed a surge of interest in APT attack, due to its complexity and persistent attack characteristics. In this paper, we give an overview of APT attack and attack graph and also use attack graph to assist in predicting the APT attacks and identifying the most vulnerable resources. In order to prevent APT attacks, this article improves the attribute attack graph by depending on the APT attack stage model and puts forward the stage attribute attack graph. Experimental results showed that the stage attribute attack graph can accurately reflect the lifecycle of attacks, meanwhile identify the most vulnerable resources and predict the APT attacks to defend APT attacks on each APT attack stage in time.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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!
2
Average
Top 10%
Average
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