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- W2964342433 abstract "The paper addresses the problem of detecting attacks on distributed estimator networks that aim to intentionally bias process estimates produced by the network. It provides a sufficient condition, in terms of the feasibility of certain linear matrix inequalities, which guarantees distributed input attack detection using an H <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>∞</sub> approach." @default.
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- W2964342433 date "2016-12-01" @default.
- W2964342433 modified "2023-10-18" @default.
- W2964342433 title "Detection of biasing attacks on distributed estimation networks" @default.
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- W2964342433 doi "https://doi.org/10.1109/cdc.2016.7798579" @default.
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