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A novel anti-detection criterion for covert storage channel threat estimation

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References

  1. Yan M, Shalabi Y, Torrellas J. ReplayConfusion: detecting cache-based covert channel attacks using record and replay. In: Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, Taiwan, 2016. 1–14

    Google Scholar 

  2. Wang Y J, Wu J Z, Zeng H T, et al. Covert channel research. J Softw, 2010, 21: 2262–2288

    Google Scholar 

  3. Lin Y, Malik S U R, Bilal K, et al. Designing and modeling of covert channels in operating systems. IEEE Trans Comput, 2016, 65: 1706–1719

    Article  MathSciNet  MATH  Google Scholar 

  4. Cabuk S, Brodley C E, Shields C. IP covert timing channels: design and detection. In: Proceedings of the 11th ACM Conference on Computer and Communications Security, Washington, 2004. 178–187

    Google Scholar 

  5. Moskowitz I S, Kang M H. Covert channels-here to stay? In: Proceedings of the 9th Annual Conference on Reliability, Fault Tolerance, Concurrency and Real Time, Security, Margherita, 1994. 235–243

    Google Scholar 

  6. Lin Y Q, Ding L P, Wu J Z, et al. Robust and efficient covert channel communications in operating systems: design, implementation and evaluation. In: Proceedings of the 7th International Conference on Software Security and Reliability-Companion, Washington, 2013. 45–52

    Google Scholar 

  7. Xu C, Ding K, Cai J, et al. Methods of determining weight scaling factors for geodetic-geophysical joint inversion. J Geodyn, 2009, 47: 39–46

    Article  Google Scholar 

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Acknowledgements

This work was supported by Natural Science Foundation of China (Grant Nos. 61379048, 61672508, U1636213), and Chinese Academy of Sciences (CAS)/State Administration of Foreign Experts Affairs (SAFEA) International Partnership Program for Creative Research Teams.

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Authors and Affiliations

  1. University of Chinese Academy of Sciences, Beijing, 100049, China

    Chong Wang

  2. Cooperative Innovation Center, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Chong Wang, Bin Wu & Yongji Wang

  3. State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Chong Wang & Yongji Wang

  4. Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Changyou Zhang

  5. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Yu’an Tan

Authors
  1. Chong Wang
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  2. Changyou Zhang
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  3. Bin Wu
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  4. Yu’an Tan
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  5. Yongji Wang
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Corresponding author

Correspondence to Changyou Zhang.

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Wang, C., Zhang, C., Wu, B. et al. A novel anti-detection criterion for covert storage channel threat estimation. Sci. China Inf. Sci. 61, 048101 (2018). https://doi.org/10.1007/s11432-017-9211-1

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  • DOI: https://doi.org/10.1007/s11432-017-9211-1

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