dc.contributor.author |
Tamba, Tua A. |
|
dc.date.accessioned |
2023-12-07T04:10:04Z |
|
dc.date.available |
2023-12-07T04:10:04Z |
|
dc.date.issued |
2021 |
|
dc.identifier.isbn |
978-4-9077-6471-5 |
|
dc.identifier.other |
maklhsc800 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/16670 |
|
dc.description |
Makalah dipresentasikan pada Proceedings of 2021 SICE International Symposium on Control Systems (SICE ISCS); March 2-4, 2021. p. 46-50. |
en_US |
dc.description.abstract |
This paper proposes the use of a moving target defense (MTD) control scheme to detect and mitigate cyber
attacks from malicious adversaries on cyber-physical systems. To ensure the optimal performance of such a MTD control
scheme, an optimizer for tuning the controller is developed based on particle swarm optimization (PSO) scheme. Simulation
results are presented to illustrate the effectiveness of the proposed PSO-based MTD control optimization scheme. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.subject |
SECURE CONTROL |
en_US |
dc.subject |
MOVING TARGET DEFENSE |
en_US |
dc.subject |
PARTICLE SWARM OPTIMIZATION |
en_US |
dc.title |
A PSO-based moving target defense control optimization scheme |
en_US |
dc.type |
Conference Papers |
en_US |