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An Effective Remote Data Disaster Recovery Plan for the Space TT&C System

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Machine Learning for Cyber Security (ML4CS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12487))

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Abstract

The critical asset data of the Space Tracking Telemetry and Command (TT&C) System plays an important role in fulfilling space missions. According to analyze the current storing methods and disaster recovery requirements of the data, the remote data disaster recovery techniques are studied based on the remote replication capability of the Oracle database, and the remote data disaster recovery plan is developed for the space TT&C system. Furthermore, the experiment is conducted to validate the plan by building a simulation environment. The experiment results demonstrate that the plan can reach the fifth degree of the disaster recovery level and satisfy the following three performance requirements including recoverability, reliability and real-time performance, and therefore realize remote disaster recovery of the critical asset data for the space TT&C system efficiently.

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Acknowledgments

This work was supported by the National Key Research and Development Program of China under Grant 2016QY06X1205.

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Authors and Affiliations

  1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

    Weijie Han & Jingfeng Xue

  2. School of Space Information, Space Engineering University, Beijing, China

    Weijie Han

  3. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China

    Fuquan Zhang

  4. Baicheng Weapon Test Center of China, Baicheng, 137001, China

    Zhonghui Sun

Authors
  1. Weijie Han
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  2. Jingfeng Xue
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  3. Fuquan Zhang
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  4. Zhonghui Sun
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Corresponding author

Correspondence to Weijie Han .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Xiaofeng Chen

  2. Guangzhou University, Guangzhou, China

    Hongyang Yan

  3. Michigan State University, East Lansing, MI, USA

    Qiben Yan

  4. Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science, Thuwal, Saudi Arabia

    Xiangliang Zhang

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Han, W., Xue, J., Zhang, F., Sun, Z. (2020). An Effective Remote Data Disaster Recovery Plan for the Space TT&C System. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12487. Springer, Cham. https://doi.org/10.1007/978-3-030-62460-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-62460-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62459-0

  • Online ISBN: 978-3-030-62460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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