Optimal Denial-of-Service Attack Scheduling with Energy Constraint over Packet-Dropping Networks

Qin, J, Li, M, Shi, L and Yu, X 2018, 'Optimal Denial-of-Service Attack Scheduling with Energy Constraint over Packet-Dropping Networks', IEEE Transactions on Automatic Control, vol. 63, no. 6, pp. 1648-1663.


Document type: Journal Article
Collection: Journal Articles

Title Optimal Denial-of-Service Attack Scheduling with Energy Constraint over Packet-Dropping Networks
Author(s) Qin, J
Li, M
Shi, L
Yu, X
Year 2018
Journal name IEEE Transactions on Automatic Control
Volume number 63
Issue number 6
Start page 1648
End page 1663
Total pages 16
Publisher IEEE
Abstract The recent years have seen a surge of security issues of cyber-physical systems (CPS). In this paper, denial-of-service (DoS) attack scheduling is investigated in depth. Specifically, we consider a system where a remote estimator receives the data packet sent by a sensor over a wireless network at each time instant, and an energy-constrained attacker that cannot launch DoS attacks all the time designs the optimal DoS attack scheduling to maximize the attacking effect on the remote estimation performance. Most of the existing works concerning DoS attacks focus on the ideal scenario in which data packets can be received successfully if there is no DoS attack. To capture the unreliability nature of practical networks, we study the packet-dropping network in which packet dropouts may occur even in the absence of attack. We derive the optimal attack scheduling scheme that maximizes the average expected estimation error, and the one which maximizes the expected terminal estimation error over packet-dropping networks. We also present some countermeasures against DoS attacks, and discuss the optimal defense strategy, and how the optimal attack schedule can serve for more effective and resource-saving countermeasures. We further investigate the optimal attack schedule with multiple sensors. The optimality of the theoretical results is demonstrated by numerical simulations.
Subject Electrical and Electronic Engineering not elsewhere classified
Mechanical Engineering not elsewhere classified
Applied Mathematics not elsewhere classified
Keyword(s) Cyber-physical systems (CPS)
denial-of-service (DoS) attack
energy constraint
packet-dropping networks
remote state estimation
DOI - identifier 10.1109/TAC.2017.2756259
Copyright notice © 2017 IEEE.
ISSN 0018-9286
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