Tandem Distributed Bayesian Detection with Privacy Constraints
2014 (English)In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014, 2014, 8168-8172 p.Conference paper (Refereed)
In this paper, the privacy problem of a tandem distributed detection system vulnerable to an eavesdropper is proposed and studied in the Bayesian formulation. The privacy risk is evaluated by the detection cost of the eavesdropper which is assumed to be informed and greedy. For the sensors whose operations are constrained to suppress the privacy risk, it is shown that the optimal detection strategies are likelihood-ratio tests. This fundamental insight allows for the optimization to reuse known algorithms extended to incorporate the privacy constraint. The trade-off between the detection performance and privacy risk is illustrated in an example.
Place, publisher, year, edition, pages
2014. 8168-8172 p.
, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), ISSN 1520-6149
Likelihood-ratio test, person-by-person optimization, physical-layer security
Communication Systems Signal Processing
IdentifiersURN: urn:nbn:se:kth:diva-140948DOI: 10.1109/ICASSP.2014.6855193ISI: 000343655308043ScopusID: 2-s2.0-84905281153ISBN: 978-1-4799-2893-4ISBN: 978-147992892-7OAI: oai:DiVA.org:kth-140948DiVA: diva2:693652
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014, Florence, Italy, May 4-9, 2014
QC 20150123. QC 201603142014-02-042014-02-042016-03-14Bibliographically approved