TY - JOUR
T1 - Distributed detection of information flows
AU - He, Ting
AU - Tong, Lang
N1 - Funding Information:
Manuscript received October 11, 2007; revised June 13, 2008. Published August 13, 2008 (projected). The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Muriel Medard. This work was supported in part by the National Science Foundation under Award CCF-0635070 and in part by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program DAAD19-01-2-0011. Much of this work was completed when the first author was with Cornell University. The U.S. Government is authorized to reproduce and distribute reprints for government purposes notwithstanding any copyright notation thereon. Part of this work was published in IEEE ISIT 2007 and IEEE Asilomar 2007.
PY - 2008/9
Y1 - 2008/9
N2 - Distributed detection of information flows is considered in which traffic sensors at different locations of a network observe transmission epochs. The traffic sensors communicate their measurements to a fusion center via channels with rate constraints, and the fusion center performs hypothesis testing for information flow detection. Under a nonparametric flow model where relayed packets can be perturbed up to bounded delays and multiplexed with chaff noise, flow detectability is characterized through a notion called consistency-rate function that shows the level of detectable flows under capacity constraints on the fusion channels. Achievability results are presented by constructing detection systems consisting of quantization, data transmission, and detection subsystems. In particular, slot-by-slot quantization schemes at the local sensors and threshold detection schemes at the fusion center are proposed to provide consistent detection with quantifiable performance.
AB - Distributed detection of information flows is considered in which traffic sensors at different locations of a network observe transmission epochs. The traffic sensors communicate their measurements to a fusion center via channels with rate constraints, and the fusion center performs hypothesis testing for information flow detection. Under a nonparametric flow model where relayed packets can be perturbed up to bounded delays and multiplexed with chaff noise, flow detectability is characterized through a notion called consistency-rate function that shows the level of detectable flows under capacity constraints on the fusion channels. Achievability results are presented by constructing detection systems consisting of quantization, data transmission, and detection subsystems. In particular, slot-by-slot quantization schemes at the local sensors and threshold detection schemes at the fusion center are proposed to provide consistent detection with quantifiable performance.
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U2 - 10.1109/TIFS.2008.928537
DO - 10.1109/TIFS.2008.928537
M3 - Article
AN - SCOPUS:49549090679
VL - 3
SP - 390
EP - 403
JO - IEEE Transactions on Information Forensics and Security
JF - IEEE Transactions on Information Forensics and Security
SN - 1556-6013
IS - 3
M1 - 4598825
ER -