arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.09662cs.CLcs.CR
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The Panacea Threat Intelligence and Active Defense Platform

IHMC(佛罗里达人机认知研究所);UNCC(北卡罗来纳大学夏洛特分校);Rensselaer Polytechnic Institute(伦斯勒理工学院);SUNY(纽约州立大学)
Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Md Mazharul Islam, Younes Karimi, Amir Masoumz… 展开作者

Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Md Mazharul Islam, Younes Karimi, Amir Masoumzadeh, Brodie Mather, Sashank Santhanam, Samira Shaikh, Tomek Strzalkowski, Bonnie J. Dorr

英文摘要:

We describe Panacea, a system that supports natural language processing (NLP) components for active defenses against social engineering attacks. We deploy a pipeline of human language technology, including Ask and Framing Detection, Named Entity Recognition, Dialogue Engineering, and Stylometry. Panacea processes modern message formats through a plug-in architecture to accommodate innovative approaches for message analysis, knowledge representation and dialogue generation. The novelty of the Panacea system is that uses NLP for cyber defense and engages the attacker using bots to elicit evidence to attribute to the attacker and to waste the attacker's time and resources.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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