DocumentCode
185029
Title
Optimal Denial-of-Service attack scheduling against linear quadratic Gaussian control
Author
Heng Zhang ; Peng Cheng ; Ling Shi ; Jiming Chen
Author_Institution
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, Chad
fYear
2014
fDate
4-6 June 2014
Firstpage
3996
Lastpage
4001
Abstract
Recently a flood of literature concerned on the security issues of wireless networked control system. However, it is still lack of investigation on how the attacker should optimize its attack schedule in order to maximize the effect on the system performance due to the insufficiency of energy at the attacker side. This paper fills this gap from the aspect of control system performance. Especially, this paper investigates the optimal jamming attack which maximizes the linear quadratic Gaussian control cost function under energy constraint. After analyzing the properties of the cost function under an arbitrary attack schedule, we derive the optimal jamming attack schedule and the corresponding cost function. System stability under this optimal attack schedule is also considered. Different examples are provided to demonstrate the effectiveness of the proposed optimal jamming schedule.
Keywords
computer network security; control engineering computing; jamming; linear quadratic Gaussian control; networked control systems; stability; wireless channels; arbitrary attack schedule; attack schedule optimization; control system performance; cost function; energy constraint; energy insufficiency; linear quadratic Gaussian control; optimal attack schedule; optimal denial-of-service attack scheduling; optimal jamming attack schedule; security issues; system stability; wireless networked control system; Cost function; Jamming; Networked control systems; Schedules; Sensors; Stability analysis; Wireless sensor networks; Control of communication networks; Networked control systems; Wireless;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6859422
Filename
6859422
Link To Document