Tree-based Model Predictive Control Strategy for Software Rejuvenation

被引：0
|
作者：
Arauz, T. [1 ]
Maestre, J. M. [1 ]
Quevedo, D. [2 ]
Camacho, E. F. [1 ]
机构：
[1] Univ Seville, Dept Ingn Sistemas & Automat, Camino Descubrimientos, Seville 41092, Spain
[2] Queensland Univ Technol, Sch Elect Engn & Robot, Brisbane, Qld, Australia
来源：
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC) | 2022年
基金：
欧洲研究理事会;
关键词：
D O I：
10.1109/CDC51059.2022.9993366
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Software rejuvenation is a cyberdefense mechanism that periodically resets the mission control software of a system to limit the impact of cyberattacks, activating in case it is necessary a safety controller to guarantee that the system returns to a target safe set. Unlike other works that consider feedback gains as mission controllers, here we propose a tree-based model predictive control scheme to explicitly account for the software refresh events and the possibility of cyberattacks. The benefits of the proposed method are illustrated using a simulated microgrid as a case study.
引用
收藏
页码：1124 / 1129
页数：6
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