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Adversarial Plan Recognition and Opposition Based Tactical Plan Recognition

Authors: Wen-Xiang Gu; Hong-Mei Ren; Bing-Bing Li; Yan Liu; Shuai Liu;

Adversarial Plan Recognition and Opposition Based Tactical Plan Recognition

Abstract

Adversarial plan exists widely in information field at present. This paper firstly introduces adversarial plan, adversarial gene, etc. Then it applies tactical plan recognition to design adversarial plan recognition system, judging and recognizing in dynamic world, at the same time we give an algorithm. Later we study the oppositional problem of adversarial plan. It consists two parts - certain oppositional plan and uncertain oppositional plan. On the basis of that, we design the model and algorithm. Furthermore, the paper primarily attempts to apply immunity theory in plan field, and based on the theory we propose the model of adversarial plan recognition and opposition system. With the information increasing, it is necessary to study adversarial plan including hacker, virus and information spy

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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
Average
Average
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