Published January 30, 2023 | Version v1
Journal article Open

Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More

  • 1. Princeton University
  • 2. University of Oregon
  • 3. University of Chicago

Description

This paper studies the problem of information design in a general security game setting in which multiple self-interested defenders attempt to provide protection simultaneously for the same set of important targets against an unknown attacker. A principal, who can be one of the defenders, has access to certain private information (i.e., attacker type), whereas other defenders do not. We investigate the question of how that principal, with additional private information, can influence the decisions of the defenders by partially and strategically revealing her information. In particular, we develop a polynomial time ellipsoid algorithm to compute an optimal private signaling scheme. Our key finding is that the separation oracle in the ellipsoid approach can be carefully reduced to bipartite matching. Furthermore, we introduce a compact representation of any ex ante persuasive signaling schemes by exploiting intrinsic security resource allocation structures, enabling us to compute an optimal scheme significantly faster. Our experiment results show that by strategically revealing private information, the principal can significantly enhance the protection effectiveness for the targets.

Files

Information-Design-for-Multiple-Interdependent-Defenders.pdf

Files (903.8 kB)

Additional details

Identifiers

DOI
10.3390/g14010012
Other
oai:uchicago.tind.io:5941

Funding

National Science Foundation
CCF-2132506
U.S. Army Research Office
ARO grant

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Computer Science
Center(s) or Institute(s)
Data Science Institute