Testing against conditional independence under security constraints
File(s)SG_ISIT18.pdf (253.31 KB)
Accepted version
Author(s)
Sreekumar, S
Gunduz, D
Type
Conference Paper
Abstract
© 2018 IEEE. A distributed binary hypothesis testing problem involving three parties, a remote node, called the observer, a legitimate decoder, called the detector, and an adversary, is studied. The remote node observes a discrete memoryless source, and communicates its observations over a rate-limited noiseless public channel to the detector, which tests for the conditional independence of its own observations from that of the remote node, conditioned on some additional side information. The adversary, in addition to observing the public message, has access to its own correlated side-information. Considering the type 2 error exponent for a given type 1 error probability constraint as the performance measure for the hypothesis test at the detector, and equivocation of the source at the adversary as the secrecy measure, a single-letter characterization of the rate-error exponent-equivocation trade-off is established. Additionally, for a general distortion measure, imposing the average distortion at the adversary as the measure of secrecy achieved, an inner bound on the trade-off between the rate, error exponent and average distortion is obtained. This bound is shown to be tight under the less noisy condition on the adversary's side information.
Date Issued
2018-08-16
Date Acceptance
2018-08-01
Citation
IEEE International Symposium on Information Theory (ISIT), 2018, pp.181-185
ISBN
978-1-5386-4781-3
ISSN
2157-8117
Publisher
IEEE
Start Page
181
End Page
185
Journal / Book Title
IEEE International Symposium on Information Theory (ISIT)
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
International Symposium on Information Theory
Publication Status
Published
Start Date
2018-06-17
Finish Date
2018-06-22
Coverage Spatial
Vail, CO, USA
Date Publish Online
2018-08-16