NDLI: Optimal Byzantine attack strategy for distributed localisation with M-ary quantised data

Content Provider	IET Digital Library
Author	Chen, Huifang Xie, Lei Shen, Congqi
Abstract	The distributed localisation with M-ary quantised data at sensor nodes is investigated in the presence of Byzantines from the attacker's perspective. The Byzantine nodes attack the network by transmitting falsified data to the fusion centre (FC) to deteriorate the performance of the distributed target localisation, where the independent and probabilistic Byzantine attack model is considered. By making the determinant of Fisher information matrix be zero, the optimal Byzantine attack strategy, which makes the FC incapable of estimating target location using the data at sensor nodes, is found. Numerical results show that the security performance of the distributed localisation improves sharply as the number of quantisation bits increases. Moreover, the security performance also increases tremendously as the attack probability decreases. Hence, the Byzantine attacker faces a trade-off between the performance damage and the hazard to be identified.
Starting Page	2158
Ending Page	2160
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 25, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/25
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.2172
Journal	Electronics Letters
Publisher Date	2015-11-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Code Data Security Distributed Localisation Distributed Target Location Estimation Fisher Information Matrix Fusion Centre Independent Probabilistic Byzantine Attack Model Linear Algebra M-ary Quantisation Matrix Algebra Numerical Analysis Optimal Byzantine Attack Strategy Probabilistic Byzantine Attack Model Probability Quantisation (signal) Sensor Fusion Signal Processing And Detection Signal Processing Theory Statistics Telecommunication Security
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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