CaltechAUTHORS
  A Caltech Library Service

Partially Observable Games for Secure Autonomy

Ahmadi, Mohamadreza and Viswanathan, Arun A. and Ingham, Michel D. and Tan, Kymie and Ames, Aaron D. (2020) Partially Observable Games for Secure Autonomy. In: 2020 IEEE Security and Privacy Workshops (SPW). IEEE , Piscataway, NJ, pp. 185-188. ISBN 9781728193465. https://resolver.caltech.edu/CaltechAUTHORS:20210113-163505274

[img] PDF - Submitted Version
See Usage Policy.

826kB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20210113-163505274

Abstract

Technology development efforts in autonomy and cyber-defense have been evolving independently of each other, over the past decade. In this paper, we report our ongoing effort to integrate these two presently distinct areas into a single framework. To this end, we propose the two-player partially observable stochastic game formalism to capture both high-level autonomous mission planning under uncertainty and adversarial decision making subject to imperfect information. We show that synthesizing sub-optimal strategies for such games is possible under finite-memory assumptions for both the autonomous decision maker and the cyber-adversary. We then describe an experimental testbed to evaluate the efficacy of the proposed framework.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/spw50608.2020.00046DOIArticle
https://arxiv.org/abs/2002.01969arXivDiscussion Paper
ORCID:
AuthorORCID
Ahmadi, Mohamadreza0000-0003-1447-3012
Ames, Aaron D.0000-0003-0848-3177
Additional Information:© 2020, Mohamadreza Ahmadi. Under license to IEEE. The work described in this paper was performed at the California Institute of Technology, and at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA).
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20210113-163505274
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210113-163505274
Official Citation:M. Ahmadi, A. A. Viswanathan, M. D. Ingham, K. Tan and A. D. Ames, "Partially Observable Games for Secure Autonomy," 2020 IEEE Security and Privacy Workshops (SPW), San Francisco, CA, 2020, pp. 185-188, doi: 10.1109/SPW50608.2020.00046
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107466
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:14 Jan 2021 17:48
Last Modified:14 Jan 2021 17:48

Repository Staff Only: item control page