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Command, Control, Communication, Computers, Intelligence, Surveillance, and Reconnaissance(C4ISR) systems serve as the nucleus of modern combat operations, yet their hybrid hardware-software architecture engenders complex fault propagation dynamics. Existing research has overlooked the influence of cross-board faults, thereby impeding robust reliability analysis. To address this, this paper proposes a reliability modeling framework integrating the Goal-Oriented (GO) methodology and Markov process, leveraging the synergistic advantages of both approaches to analyze intricate fault propagation patterns. Through comparative verification, the Markov process-based correction method is shown to capture the impact of cross-board level fault propagation, enhancing the accuracy of system operational probability assessment. The proposed approach enables precise reliability evaluation of C4ISR systems, providing critical support for optimizing design configurations and reliability assurance strategies.

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A Reliable Modeling Approach for C4ISR Systems Based on GO-Markov Hybrid Models

  • 会议论文

  • 发表日期：

    2026年

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  • Wenxiao Fan,
  • Shulin Liu,
  • Chao Dai,
  • Xiaojian Yi

摘要

Command, Control, Communication, Computers, Intelligence, Surveillance, and Reconnaissance(C4ISR) systems serve as the nucleus of modern combat operations, yet their hybrid hardware-software architecture engenders complex fault propagation dynamics. Existing research has overlooked the influence of cross-board faults, thereby impeding robust reliability analysis. To address this, this paper proposes a reliability modeling framework integrating the Goal-Oriented (GO) methodology and Markov process, leveraging the synergistic advantages of both approaches to analyze intricate fault propagation patterns. Through comparative verification, the Markov process-based correction method is shown to capture the impact of cross-board level fault propagation, enhancing the accuracy of system operational probability assessment. The proposed approach enables precise reliability evaluation of C4ISR systems, providing critical support for optimizing design configurations and reliability assurance strategies.