@inproceedings{8f82a81e11c84274b87fd86fc42ab78a,
title = "Networked Fusion Estimation under Denial-of-Service Attacks",
abstract = "This paper studies the fusion estimation problem for a class of networked multi-sensor fusion systems (NMFSs) under bandwidth constraints and denial-of-service (DoS) attacks. The dimensionality reduction strategy is used to satisfy the finite bandwidth, while the prediction compensation strategy is used to reduce the information loss caused by attacks. Based on dimensionality reduction and DoS attack model, a recursive distributed Kalman fusion estimator (DKFE) is designed for the addressed NMFSs. An explicit form of the dimensionality reduction is given against DoS attacks, while an effective attack strategy is proposed for the attacker. An illustrative example is given to show the effectiveness of the proposed methods.",
keywords = "Dimensionality reduction, DoS attacks, Fusion estimation, Kalman filtering, Networked multi-sensor fusion systems",
author = "Bo Chen and Li Yu and Ho, {Daniel W.C.} and Wen-An Zhang",
year = "2017",
month = jul,
day = "9",
doi = "10.1016/j.ifacol.2017.08.490",
language = "English",
series = "IFAC-PapersOnLine",
publisher = "IFAC Secretariat",
number = "1",
pages = "3835--3840",
booktitle = "IFAC-PapersOnLine",
note = "20th IFAC World Conference, IFAC World Congress ; Conference date: 09-07-2017 Through 14-07-2017",
}