A cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approach

Meng, Y; Xu, J; He, J; Tao, S; Gupta, D; Moreira, C; Tiwari, P; Guo, C

A cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approach

Meng, Y Xu, J He, J Tao, S Gupta, D Moreira, C Tiwari, P Guo, C

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Soft Computing, 2023, 27, (2), pp. 1033-1043
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Meng, Y
dc.contributor.author	Xu, J
dc.contributor.author	He, J
dc.contributor.author	Tao, S
dc.contributor.author	Gupta, D
dc.contributor.author	Moreira, C
dc.contributor.author	Tiwari, P
dc.contributor.author	Guo, C
dc.date.accessioned	2024-03-14T22:39:56Z
dc.date.available	2024-03-14T22:39:56Z
dc.date.issued	2023-01-01
dc.identifier.citation	Soft Computing, 2023, 27, (2), pp. 1033-1043
dc.identifier.issn	1432-7643
dc.identifier.issn	1433-7479
dc.identifier.uri	http://hdl.handle.net/10453/176730
dc.description.abstract	Internet of things (IoT) technology and unmanned aerial vehicles (UAV) cluster combat technology are likely to be the key technologies deployed on the future battlefield. The present research indicates that the IoT selects the optimal strategy according to the attacker’s strategy to maintain the IoT connection. Thereafter, an IoT technology and UAV cluster technology battlefield confrontation system model is established. This system model is then transformed into a dynamic game model of the attacker and the defender, mainly considering the impact of clustered drone attacks on military IoT connectivity and the impact of military IoT technology attacks on drone combat strategies and command centers. To improve the game model and its payment function, we considered factors such as the relative weight of the IoT disconnected sensor nodes, the cost of deploying new nodes, the loss of the hive, and the number of destroyed drones. Theoretical analysis and simulation results show that the impact of the UAV cluster attack on the IoT connectivity is reduced, and the number of disconnected sensors of the attacker is lower than the number before the optimization.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Soft Computing
dc.relation.isbasedon	10.1007/s00500-021-05881-4
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 1702 Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	46 Information and computing sciences
dc.title	A cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approach
dc.type	Journal Article
utslib.citation.volume	27
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-14T22:39:55Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	27
utslib.citation.issue	2

Abstract:

Internet of things (IoT) technology and unmanned aerial vehicles (UAV) cluster combat technology are likely to be the key technologies deployed on the future battlefield. The present research indicates that the IoT selects the optimal strategy according to the attacker’s strategy to maintain the IoT connection. Thereafter, an IoT technology and UAV cluster technology battlefield confrontation system model is established. This system model is then transformed into a dynamic game model of the attacker and the defender, mainly considering the impact of clustered drone attacks on military IoT connectivity and the impact of military IoT technology attacks on drone combat strategies and command centers. To improve the game model and its payment function, we considered factors such as the relative weight of the IoT disconnected sensor nodes, the cost of deploying new nodes, the loss of the hive, and the number of destroyed drones. Theoretical analysis and simulation results show that the impact of the UAV cluster attack on the IoT connectivity is reduced, and the number of disconnected sensors of the attacker is lower than the number before the optimization.

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http://hdl.handle.net/10453/176730