The Panacea Threat Intelligence and Active Defense Platform
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

TL;DR
Panacea is an innovative cybersecurity platform that leverages NLP techniques to detect social engineering attacks, engage attackers with bots, and improve active defense through message analysis and dialogue generation.
Contribution
It introduces a novel NLP-based system for cyber defense that actively engages attackers and processes modern message formats with a flexible plug-in architecture.
Findings
Uses NLP to detect social engineering attacks
Engages attackers with bots to gather evidence
Processes modern message formats efficiently
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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Taxonomy
TopicsTopic Modeling · Information and Cyber Security · Advanced Malware Detection Techniques
