Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA)

Abstract

We are reporting on the development of 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 it 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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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2020
Accession Number
AD1143840

Entities

People

  • Adam Dalton
  • Alan Zemel
  • Amir Masoumzadeh
  • Bonnie J. Door
  • Ehab Al-Shaer
  • Samira Shaikh
  • Tomek Strzalkowski

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Electronic Mail
  • Information Processing
  • Information Science
  • Information Systems
  • Language
  • Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Online Communications
  • Social Media
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • Cyber