一种新的安全信息学方法:可操作行为规则挖掘(ABRM)

2017 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2017-07-01 DOI:10.1109/ISI.2017.8004910

Peng Su, Yuqin Zhao, Jian Yang, Zhenpeng Li

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摘要

其中最重要和最独特的可操作知识是可操作行为规则(abr)。为了使ABRM成为一种有前景的安全信息学技术，我们开发了新的方法。我们还进行了一个实验来验证我们的方法。实验结果有力地证明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A new approach to security informatics: Actionable behavioral rules mining (ABRM)

Among the most important and distinctive actionable knowledge are actionable behavioral rules (ABRs). To make ABRM a promising technique for security informatics, we develop new methodologies for it. We also conduct an experiment to validate our approach. The experimental results strongly suggest the validity of our approach.

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2017 IEEE International Conference on Intelligence and Security Informatics (ISI)

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