The Panacea Threat Intelligence and Active Defense Platform
This addresses cybersecurity threats for organizations by providing an active defense platform, though it appears incremental as it applies existing NLP methods to a new domain.
The paper tackles the problem of defending against social engineering attacks by developing Panacea, a system that uses NLP components like detection and dialogue engineering to engage attackers with bots, resulting in evidence attribution and resource wastage.
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.