An Evaluation method for C2 Cyber-Physical Systems Reliability Based on Deep Learning
Ming He, Qingbing Zou, Xiliang Chen, Kai Kang · 2014
Abstract : As the battle space for Command and Control (C2) has grown more complex, the C2 reliability that threatens their ability is facing many new challenges. The Cyber-Physical System (CPS) technology is brought into C2 systems, C2 CPS architecture is structured, and a real-time online method for evaluating the reliability of C2 CPS is designed. The method establishes an assessment framework with use of deep learning, implements an online rank algorithm, and achieves the online analysis and evaluation of the reliability of the C2 CPS. The simulation experiments show the validity and correctness of the assessment method is verified. The system reliability has been greatly improved.