Poster: Reasoning Based on Imperfect Context Data in Adaptive Security
Poster: Reasoning Based on Imperfect Context Data in Adaptive Security
复制标题
海报：自适应安全中基于不完美上下文数据的推理
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
A. Namin
中科院分区：
文献类型：
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作者：
Sara Sartoli;A. Namin
使软件系统能够在不断变化的环境中调整其保护与不完善的上下文信息是一个巨大的挑战性问题。传统的经典否定逻辑程序设计在应用于动态系统时，忽略了基于不完全信息的不确定性推理问题。本文提出了一种基于答案集编程的非单调方法，在自适应安全中对不完美的上下文数据进行推理，其中很少或根本没有关于动作和事件的确定性的知识。
Enabling software systems to adjust their protection in continuously changing environments with imperfect context information is a grand challenging problem. The issue of uncertain reasoning based on imperfect information has been overlooked in traditional logic programming with classical negation when applied to dynamic systems. This paper sketches a non-monotonic approach based on Answer Set Programming to reason with imperfect context data in adaptive security where there is little or no knowledge about certainty of the actions and events.