Open and closed-loop predictive control strategies for software rejuvenation

T. Arauz; José M. Maestre; Paula Chanfreut Palacio; Daniel E. Quevedo; Eduardo F. Camacho

doi:10.1109/TETC.2024.3481997

Open and closed-loop predictive control strategies for software rejuvenation

T. Arauz, José M. Maestre, Paula Chanfreut Palacio, Daniel E. Quevedo, Eduardo F. Camacho

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Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Software rejuvenation is a cyberdefense mechanism that periodically resets the control software of a system to limit the impact of cyberattacks. We propose open and closed-loop tree-based model predictive controllers to explicitly account for the software refresh events and the cyberattacks. The benefits of the proposed methods are illustrated using a simulated microgrid as a case study and randomized tests with different types of attacks.

Original language	English
Article number	10729731
Number of pages	12
Journal	IEEE Transactions on Emerging Topics in Computing
Volume	XX
Issue number	X
DOIs	https://doi.org/10.1109/TETC.2024.3481997
Publication status	Accepted/In press - 2024

Keywords

Model predictive control (MPC)
Software rejuvenation
Robust Control
Cyber-security
model predictive control
software rejuvenation
robust control

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10.1109/TETC.2024.3481997

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AU - Camacho, Eduardo F.

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Open and closed-loop predictive control strategies for software rejuvenation

Abstract

Keywords

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