DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents

Authors

  • Tonmoay Deb Northwestern University
  • Jürgen Dix Technical University of Clausthal
  • Mingi Jeong Dartmouth College
  • Cristian Molinaro University of Calabria
  • Andrea Pugliese University of Calabria
  • Alberto Quattrini Li Dartmouth College
  • Eugene Santos, Jr Dartmouth College
  • V.S. Subrahmanian Northwestern University
  • Shanchieh Yang Rochester Institute of Technology
  • Youzhi Zhang Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, CAS

DOI:

https://doi.org/10.1609/aaai.v37i13.27067

Keywords:

Logic And AI, Multi-Agent System, Drone Decision Making, AI Application

Abstract

Drone based terrorist attacks are increasing daily. It is not expected to be long before drones are used to carry out terror attacks in urban areas. We have developed the DUCK multi-agent testbed that security agencies can use to simulate drone-based attacks by diverse actors and develop a combination of surveillance camera, drone, and cyber defenses against them.
AAAI-23 Proceedings Cover

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Published

2023-09-06

How to Cite

Deb, T., Dix, J., Jeong, M., Molinaro, C., Pugliese, A., Quattrini Li, A., Santos, Jr, E., Subrahmanian, V., Yang, S., & Zhang, Y. (2023). DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16425-16427. https://doi.org/10.1609/aaai.v37i13.27067

Issue

Vol. 37 No. 13: AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations

Section

Demonstrations