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Stochastic model predictive control-based countermeasure methodology for satellites against indirect kinetic cyber-attacks

Amin Alandihallaj, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1080/00207179.2022.2078423
  3. Publisher: Taylor and Francis Ltd , 2022
  4. Abstract:
  5. The objective of this paper is to provide a stochastic framework to optimally avoid collision between a maneuverable spacecraft and a space object or debris. The satellite collision can be caused through a cyber-attack on a satellite by colliding it with a considered strategic satellite. Consequently, it is highly imperative that critical operational space assets be provided with autonomous collision avoidance systems. The collision avoidance methodology proposed in this paper will reduce the collision probability to an acceptable level and protect the satellite against indirect kinetic cyber-attacks initiated by designing optimal collision avoidance maneuvers using a stochastic model predictive control strategy. The collision probability is estimated using the available historical Two-Line Elements of determined objects, and the model predictive control scheme guarantees the safety of the space close approaches. The proposed and developed collision-avoidance countermeasure methodology is numerically simulated for the collision case study between the Iridium-33 and the Cosmos-2251 satellites. The results demonstrate and illustrate the effectiveness, capabilities, and advantages of our proposed methodology in avoiding probable collisions due to indirect kinetic cyber-attacks. © 2022 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. Collision avoidance maneuver ; Cyber-attack countermeasure ; Indirect kinetic cyber-attack ; Stochastic model predictive control ; Collision avoidance ; Computer crime ; Crime ; Kinetics ; Network security ; Predictive control systems ; Satellites ; Space debris ; Stochastic control systems ; Stochastic models ; Stochastic systems ; Collision probability ; Collisions avoidance ; Cybe-attack countermeasure ; Cyber-attacks ; Indirect kinetic cybe-attack ; Model-predictive control ; Stochastic framework ; Stochastic model predictive controls ; Model predictive control
  8. Source: International Journal of Control ; 2022 ; 00207179 (ISSN)
  9. URL: https://www.tandfonline.com/doi/full/10.1080/00207179.2022.2078423