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

Tonmoay Deb, Jürgen Dix, Mingi Jeong, Cristian Molinaro, Andrea Pugliese, Alberto Quattrini Li, Eugene Santos Jr., V. S. Subrahmanian, Shanchieh Yang, Youzhi Zhang

AAAI 2023 pp. 16425-16427

doi:10.1609/AAAI.V37I13.27067 /aaai/2023/deb2023aaai-duck/

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.

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Cite

Text

Deb et al. "DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.27067

Markdown

[Deb et al. "DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/deb2023aaai-duck/) doi:10.1609/AAAI.V37I13.27067

BibTeX

@inproceedings{deb2023aaai-duck,
  title     = {{DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents}},
  author    = {Deb, Tonmoay and Dix, Jürgen and Jeong, Mingi and Molinaro, Cristian and Pugliese, Andrea and Li, Alberto Quattrini and Jr., Eugene Santos and Subrahmanian, V. S. and Yang, Shanchieh and Zhang, Youzhi},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16425-16427},
  doi       = {10.1609/AAAI.V37I13.27067},
  url       = {https://mlanthology.org/aaai/2023/deb2023aaai-duck/}
}