Situation Semantics Aggregator for Realtime Simulation on Organizational Behaviors

Yan Zhang, L. Liao, Chang Xu, Licheng Shi
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Abstract

Realtime simulation on organizational behaviors is very important for detection of group attacks in cyber situational awareness. Previous work on the modeling and simulation of organizational behaviors is successful in top-down approach centering on certain organizational behaviors. However, these models are inefficient for realtime simulation on unknown organizational behaviors. To address this issue, we use situation theory for runtime meaning of unknown organizational behaviors to propose a situation semantics aggregator with bottom-up approach. Based on behavior type theory, the proposed aggregator can converge organizational behaviors of simulating objects while entity objects running. So, the proposed aggregator is suitable for realtime simualtion of unknown organizational behaviors.
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面向组织行为实时仿真的情境语义聚合器
在网络态势感知中,组织行为的实时模拟对群体攻击的检测具有重要意义。以往关于组织行为建模和模拟的研究都是成功的,它们采用的是自上而下的方法,以某些组织行为为中心。然而,这些模型对于未知组织行为的实时模拟是低效的。为了解决这一问题,我们利用未知组织行为运行时含义的情境理论,提出了一种自下而上的情境语义聚合器。基于行为类型理论,提出的聚合器可以在实体对象运行时对模拟对象的组织行为进行收敛。因此,所提出的聚合器适用于未知组织行为的实时模拟。
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