Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks

By Jiahu Qin, Menglin Li, Ling Shi, Xinghuo Yu. IEEE Transactions on Automatic Control, 2018

305 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/c20588ad7f098904b8f9b46a08c78e2805ff3f31

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qing-Long Han
2. Xiaohua Ge
3. Derui Ding
4. Zidong Wang
5. Xianming Zhang
6. Lei Ding
7. Huijun Gao
8. Chen Peng

In Control and Systems Engineering

1. Qing-Long Han
2. Xiaohua Ge
3. Derui Ding
4. Zidong Wang
5. Xianming Zhang
6. Lei Ding
7. James Lam
8. Dong Yue

Citations in the corpus

• A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems (2019, background): “Any successful attacks against industrial CPSs may cause the serious impact on the human society and national economy [139].”