The Panacea Threat Intelligence and Active Defense Platform
Adam Dalton
Ehsan Aghaei
E. Al-Shaer
Archna Bhatia
Esteban Castillo
Zhuo Cheng
Sreekar Dhaduvai
Qi Duan
Md. Mazharul Islam
Younes Karimi
A. Masoumzadeh
Brodie Mather
Sashank Santhanam
Samira Shaikh
T. Strzalkowski
Bonnie J. Dorr

Abstract
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.
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